feat: nuclear-reactor-operator skill package v0.1.0
This commit is contained in:
skillfactor-pipeline
31
PROVENANCE.md
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PROVENANCE.md
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# Data provenance — nuclear-reactor-operator
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Where the content of this skill package comes from, counted by
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content items (tasks, competences, tools, evidence entries, curated
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knowledge). Rendered live by Gitea:
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```mermaid
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%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
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pie showData
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title Content sources — nuclear-reactor-operator
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"ESCO (occupation & competences)" : 45
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"O*NET (tasks & tools)" : 47
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"Job boards (market evidence)" : 87
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"Anthropic official Claude skills" : 5
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"External AI skill packs (mapped)" : 171
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```
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| Source | Items | Share | Files |
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|---|---|---|---|
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| ESCO (occupation & competences) | 45 | 12.7 % | references/profile.md, references/skills.md |
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| O*NET (tasks & tools) | 47 | 13.2 % | references/tasks.md, references/tools.md |
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| Job boards (market evidence) | 87 | 24.5 % | references/market.md (full report) + "Market evidence" headline sections |
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| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
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| Anthropic official Claude skills | 5 | 1.4 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
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| External AI skill packs (mapped) | 171 | 48.2 % | references/ai-skills.md (per-source attribution inside) |
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| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
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Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
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job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
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paraphrased with source URLs — never copied · external AI skills are
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linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).
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58
SKILL.md
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58
SKILL.md
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---
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name: nuclear-reactor-operator
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description: "Occupational skill for the role 'nuclear reactor operator' (also: nuclear reactor operation technician, nuclear reactor safety supervisor, nuclear reactor operative, nuclear reactor control panel worker, nuclear reactor controller, nuclear reactor technician). Use when the user asks for typical nuclear reactor operator work such as: Follow nuclear equipment operational policies and procedures that ensure environmental safety.; Conduct surveillance testing to determine safety of nuclear equipment.; Monitor nuclear reactor equipment performance to identify operational inefficiencies, hazards, or needs for maintenance or repair."
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---
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# Nuclear Reactor Operator
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Nuclear reactor operators directly control nuclear reactors in power plants from control panels, and are solely responsible for the alterations in reactor reactivity. They start up operations and react to changes in status such as casualties and critical events. They monitor parameters and ensure compliance with safety regulations.
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## Core workflow
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1. Follow nuclear equipment operational policies and procedures that ensure environmental safety.
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2. Conduct surveillance testing to determine safety of nuclear equipment.
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3. Monitor nuclear reactor equipment performance to identify operational inefficiencies, hazards, or needs for maintenance or repair.
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4. Test plant equipment to ensure it is operating properly.
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5. Apply safety tags to equipment needing maintenance.
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6. Follow policies and procedures for radiation workers to ensure personnel safety.
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7. Modify, devise, or maintain nuclear equipment used in operations.
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## How to use this skill
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- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
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- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
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- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
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- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
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- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
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## Key competences (essential)
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- automation technology
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- avoid contamination
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- contamination exposure regulations
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- electricity
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- ensure compliance with environmental legislation
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- ensure compliance with radiation protection regulations
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- ensure equipment cooling
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- follow nuclear plant safety precautions
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- hydraulics
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- maintain nuclear reactors
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- mechanical engineering
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- metrology
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- monitor automated machines
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- monitor nuclear power plant systems
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- monitor radiation levels
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## Hot technologies
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- Microsoft Access
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- Structured query language SQL
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- Microsoft Office software
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- Linux
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- Microsoft Windows
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- Microsoft PowerPoint
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- Microsoft Excel
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- Microsoft Word
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---
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*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/b2eacfdf-5de5-4e8c-a8cb-3d32e201c210), O*NET 30.3 (19-4051.00). See manifest.json for licensing/attribution.*
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262
manifest.json
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262
manifest.json
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{
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"name": "nuclear-reactor-operator",
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"title": "nuclear reactor operator",
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"version": "0.1.0",
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"layer": "core",
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"language": "en",
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"generated": "2026-07-07",
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"ids": {
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"esco_uri": "http://data.europa.eu/esco/occupation/b2eacfdf-5de5-4e8c-a8cb-3d32e201c210",
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"esco_code": "3131.3.6",
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"isco_group": "3131",
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"onet_soc": "19-4051.00",
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"crosswalk_match": "closeMatch"
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},
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"sources": [
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{
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"name": "ESCO",
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"version": "1.2.1",
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"url": "https://esco.ec.europa.eu/"
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},
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{
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"name": "O*NET",
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"version": "30.3",
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"url": "https://www.onetcenter.org/",
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"license": "CC BY 4.0"
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}
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],
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"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
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"counts": {
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"tasks": 18,
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"dwas": 15,
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"skills_essential": 25,
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"skills_optional": 19,
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"software": 13
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},
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"enrichment_ai_skills": {
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"generated": "2026-07-14",
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"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
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"sources": {
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"anthropics/skills": {
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"repo": "https://github.com/anthropics/skills",
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"commit": "f6656c1",
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"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
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"skills": 2
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},
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"jeremylongshore/claude-code-plugins-plus-skills": {
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"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
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"commit": "e112938a",
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"license": "MIT",
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"skills": 8
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},
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"silverstein/minutes": {
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"repo": "https://github.com/silverstein/minutes",
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"commit": "3fb2e83",
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"license": "MIT",
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"skills": 3
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},
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"hypnguyen1209/offensive-claude": {
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"repo": "https://github.com/hypnguyen1209/offensive-claude",
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"commit": "4d62be7",
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"license": "MIT",
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"skills": 2
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},
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"redis/agent-skills": {
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"repo": "https://github.com/redis/agent-skills",
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"commit": "23e10ae",
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"license": "MIT",
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"skills": 1
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},
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"Frappucc1no/recall-loom": {
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"repo": "https://github.com/Frappucc1no/recall-loom",
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"commit": "8678cbb",
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"license": "Apache-2.0",
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"skills": 1
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},
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"ruvnet/claude-code-flow": {
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"repo": "https://github.com/ruvnet/claude-code-flow",
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"commit": "73914bd",
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"license": "MIT",
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"skills": 4
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},
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"ruvnet/ruflo": {
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"repo": "https://github.com/ruvnet/ruflo",
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"commit": "73914bd",
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"license": "MIT",
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"skills": 4
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},
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"davila7/claude-code-templates": {
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"repo": "https://github.com/davila7/claude-code-templates",
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"commit": "fa79251",
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"license": "MIT",
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"skills": 8
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},
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"mukul975/Anthropic-Cybersecurity-Skills": {
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"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
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"commit": "673da1f",
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"license": "Apache-2.0",
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"skills": 5
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},
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"affaan-m/everything-claude-code": {
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"repo": "https://github.com/affaan-m/everything-claude-code",
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"commit": "ed38744",
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"license": "MIT",
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"skills": 2
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},
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"a5c-ai/babysitter": {
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"repo": "https://github.com/a5c-ai/babysitter",
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"commit": "44a5d58b",
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"license": "MIT",
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"skills": 4
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},
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"basicmachines-co/basic-memory": {
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"repo": "https://github.com/basicmachines-co/basic-memory",
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"commit": "53da71c",
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"license": "custom (see upstream LICENSE)",
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"skills": 3
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},
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"qdrant/skills": {
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"repo": "https://github.com/qdrant/skills",
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"commit": "2a06cb1",
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"license": "Apache-2.0",
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"skills": 1
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},
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"jabrena/plinth": {
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"repo": "https://github.com/jabrena/plinth",
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"commit": "065eae8",
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"license": "Apache-2.0",
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"skills": 1
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},
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"egorfedorov/claude-context-optimizer": {
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"repo": "https://github.com/egorfedorov/claude-context-optimizer",
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"commit": "c604d3a",
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"license": "MIT",
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"skills": 1
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},
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"alirezarezvani/claude-skills": {
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"repo": "https://github.com/alirezarezvani/claude-skills",
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"commit": "0241f43",
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"license": "MIT",
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"skills": 2
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},
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"brycewang-stanford/Auto-Empirical-Research-Skills": {
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"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
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"commit": "85bf545",
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"license": "CC-BY-4.0",
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"skills": 2
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},
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"nexscope-ai/eCommerce-Skills": {
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"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
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"commit": "56f3288",
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"license": "MIT",
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"skills": 1
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},
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"Orchestra-Research/AI-research-SKILLs": {
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"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
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"commit": "773a529",
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"license": "MIT",
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"skills": 5
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},
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"zechenzhangAGI/AI-research-SKILLs": {
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"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
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||||
"commit": "773a529",
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"license": "MIT",
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"skills": 5
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||||
},
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"hoangsonww/Claude-Code-Agent-Monitor": {
|
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"repo": "https://github.com/hoangsonww/Claude-Code-Agent-Monitor",
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"commit": "8f87ce1",
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"license": "MIT",
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"skills": 3
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||||
},
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||||
"nWave-ai/nWave": {
|
||||
"repo": "https://github.com/nWave-ai/nWave",
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||||
"commit": "1d0f13c",
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||||
"license": "MIT",
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||||
"skills": 1
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||||
},
|
||||
"nexu-io/open-design": {
|
||||
"repo": "https://github.com/nexu-io/open-design",
|
||||
"commit": "4b66023",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 1
|
||||
},
|
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"HeshamFS/materials-simulation-skills": {
|
||||
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
|
||||
"commit": "fa1ce8d",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 1
|
||||
},
|
||||
"JasonColapietro/suede-creator-skills": {
|
||||
"repo": "https://github.com/JasonColapietro/suede-creator-skills",
|
||||
"commit": "0dc2aef",
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"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
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"foryourhealth111-pixel/Vibe-Skills": {
|
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"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
|
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"commit": "34429a8",
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"license": "Apache-2.0",
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"skills": 3
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},
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"OpenRaiser/NanoResearch": {
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"repo": "https://github.com/OpenRaiser/NanoResearch",
|
||||
"commit": "7144364",
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"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"zxkane/aws-skills": {
|
||||
"repo": "https://github.com/zxkane/aws-skills",
|
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"commit": "68530c6",
|
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"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"open-gitagent/opengap": {
|
||||
"repo": "https://github.com/open-gitagent/opengap",
|
||||
"commit": "d7a8e2e",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"K-Dense-AI/claude-scientific-skills": {
|
||||
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
|
||||
"commit": "4d97e29",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"K-Dense-AI/scientific-agent-skills": {
|
||||
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
|
||||
"commit": "4d97e29",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
}
|
||||
},
|
||||
"total_skills": 80,
|
||||
"tiers": {
|
||||
"core": 8,
|
||||
"adjacent": 72
|
||||
}
|
||||
},
|
||||
"provenance": {
|
||||
"items": {
|
||||
"esco": 45,
|
||||
"onet": 47,
|
||||
"jobads": 87,
|
||||
"wiki_ai": 0,
|
||||
"anthropic": 5,
|
||||
"ai_skills": 171,
|
||||
"stackx": 0
|
||||
},
|
||||
"share_percent": {
|
||||
"esco": 12.7,
|
||||
"onet": 13.2,
|
||||
"jobads": 24.5,
|
||||
"wiki_ai": 0.0,
|
||||
"anthropic": 1.4,
|
||||
"ai_skills": 48.2,
|
||||
"stackx": 0.0
|
||||
},
|
||||
"method": "content items per source category"
|
||||
},
|
||||
"collar": "white",
|
||||
"computer_work": true
|
||||
}
|
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354
references/ai-skills.md
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354
references/ai-skills.md
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@@ -0,0 +1,354 @@
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# External AI agent skills — nuclear-reactor-operator
|
||||
|
||||
Proven, publicly available AI agent skills mapped to this occupation.
|
||||
Nothing is copied from the sources: every entry is a name, a one-line
|
||||
summary and a link to the upstream skill package. Each section names
|
||||
its source repository, commit, license and retrieval date.
|
||||
|
||||
**Tiers:** `core` = the skill directly exercises a top market hard
|
||||
skill, tool or method (from gated job-ad evidence) or an essential
|
||||
ESCO competence of this occupation; `adjacent` =
|
||||
plausibly useful, secondary. Entries are capped at 12 per source
|
||||
and 80 in total per occupation (core first,
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strongest matches survive); everything beyond the caps is excluded
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||||
and logged in the pipeline audit trail, not in this package.
|
||||
|
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_Matched deterministically (ISCO group + title/competence keywords,
|
||||
tiered against market evidence + ESCO essentials) by
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||||
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
|
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|
||||
## Source: anthropics/skills
|
||||
|
||||
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
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| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
|
||||
|
||||
## Source: a5c-ai/babysitter
|
||||
|
||||
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `linker-script` | adjacent | GNU linker script generation and optimization for embedded systems. Expert skill for memory layout definition, section placement, multi-image linking, and memory protection configuration. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/linker-script) |
|
||||
| `context-engineering` | adjacent | Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/context-engineering) |
|
||||
| `embedded-docs` | adjacent | Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/embedded-docs) |
|
||||
| `incident-forensics` | adjacent | Digital forensics and incident response capabilities. Analyze memory dumps with Volatility, parse filesystem artifacts, extract browser forensics, analyze Windows event logs, create forensic timelines, recover deleted files, and generate … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/security-research/skills/incident-forensics) |
|
||||
|
||||
## Source: affaan-m/everything-claude-code
|
||||
|
||||
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `agentic-os` | adjacent | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agentic-os) |
|
||||
| `autonomous-agent-harness` | adjacent | Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/autonomous-agent-harness) |
|
||||
|
||||
## Source: alirezarezvani/claude-skills
|
||||
|
||||
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `compliance-readiness` | adjacent | /cs:compliance-readiness <program> — Multi-framework compliance officer 6-question forcing interrogation of any compliance program. Use before starting a new framework, planning the annual audit calendar, or preparing for certification … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/compliance-os/skills/compliance-readiness) |
|
||||
| `founder-coach` | adjacent | Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/founder-coach) |
|
||||
|
||||
## Source: basicmachines-co/basic-memory
|
||||
|
||||
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
|
||||
- License: custom (see upstream LICENSE)
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `memory-onboarding` | adjacent | Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-onboarding) |
|
||||
| `memory-tasks` | adjacent | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
|
||||
| `code-review` | adjacent | Use when reviewing Basic Machines code for house style, architecture risk, pre-merge hardening, or whether a change fits basic-memory/basic-memory-cloud conventions. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/.agents/skills/code-review) |
|
||||
|
||||
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
|
||||
|
||||
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
|
||||
- License: CC-BY-4.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `diverga-memory` | adjacent | Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트 | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/memory) |
|
||||
| `system-profile` | adjacent | Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/42-wanshuiyin-ARIS/skills/system-profile) |
|
||||
|
||||
## Source: davila7/claude-code-templates
|
||||
|
||||
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `it-operations` | adjacent | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/it-operations) |
|
||||
| `agent-memory-mcp` | adjacent | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-mcp) |
|
||||
| `gptq` | adjacent | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/optimization-gptq) |
|
||||
| `optimizing-attention-flash` | adjacent | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/optimization-flash-attention) |
|
||||
| `quantizing-models-bitsandbytes` | adjacent | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/optimization-bitsandbytes) |
|
||||
| `unsloth` | adjacent | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/fine-tuning-unsloth) |
|
||||
| `gcc` | adjacent | Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/git/git-context-controller) |
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/get-available-resources) |
|
||||
|
||||
## Source: egorfedorov/claude-context-optimizer
|
||||
|
||||
- Repository: [https://github.com/egorfedorov/claude-context-optimizer](https://github.com/egorfedorov/claude-context-optimizer) (commit `c604d3a`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `cco-overhead` | adjacent | Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage | [source](https://github.com/egorfedorov/claude-context-optimizer/tree/c604d3a/skills/cco-overhead) |
|
||||
|
||||
## Source: foryourhealth111-pixel/Vibe-Skills
|
||||
|
||||
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `unsloth` | adjacent | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/unsloth) |
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/get-available-resources) |
|
||||
| `hive-mind-advanced` | adjacent | Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/hive-mind-advanced) |
|
||||
|
||||
## Source: Frappucc1no/recall-loom
|
||||
|
||||
- Repository: [https://github.com/Frappucc1no/recall-loom](https://github.com/Frappucc1no/recall-loom) (commit `8678cbb`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `recallloom` | core | Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based … | [source](https://github.com/Frappucc1no/recall-loom/tree/8678cbb/skills/recallloom) |
|
||||
|
||||
## Source: HeshamFS/materials-simulation-skills
|
||||
|
||||
- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `simulation-failure-triage` | adjacent | First-response triage for cross-code (LAMMPS/VASP/QE/MOOSE) simulation failures: classifies the failure signature (nonconvergence, NaN/Inf, exploding energy, unstable timestep, pressure blow-up, missing potentials/pseudopotentials, memory … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/robustness/simulation-failure-triage) |
|
||||
|
||||
## Source: hoangsonww/Claude-Code-Agent-Monitor
|
||||
|
||||
- Repository: [https://github.com/hoangsonww/Claude-Code-Agent-Monitor](https://github.com/hoangsonww/Claude-Code-Agent-Monitor) (commit `8f87ce1`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `memory-review` | adjacent | Review the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug>/memory/*.md. Groups by project, shows the index (MEMORY.md) vs … | [source](https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/8f87ce1/plugins/ccam-config/skills/memory-review) |
|
||||
| `cwd-rollup` | adjacent | Roll up Claude Code sessions by working directory (project) from Agent Monitor data — session count, total cost, total tokens, and last-active timestamp per cwd — so per-project activity can be compared at a glance. Use when summarizing … | [source](https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/8f87ce1/plugins/ccam-sessions/skills/cwd-rollup) |
|
||||
| `fleet-runs` | adjacent | Summarize Workflow-tool fleet runs from the Agent Monitor — these fleets emit no hooks and are ingested from on-disk run journals. List recent runs with status and agents-per-run, then drill into a single run's per-agent detail. Reconciles … | [source](https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/8f87ce1/plugins/ccam-workflows/skills/fleet-runs) |
|
||||
|
||||
## Source: hypnguyen1209/offensive-claude
|
||||
|
||||
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `engagement-memory` | core | Use when recalling prior techniques at recon/weaponize, or recording a confirmed finding at report — cross-engagement pattern memory ranked by impact | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/engagement-memory) |
|
||||
| `incident-response` | adjacent | Use when responding to or forensically investigating an incident — triage acquisition (Velociraptor/KAPE), Volatility 3 memory forensics, Chainsaw/Hayabusa EVTX timelining, anti-forensics detection, cloud IR, ransomware/ESXi response | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/incident-response) |
|
||||
|
||||
## Source: jabrena/plinth
|
||||
|
||||
- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `145-java-refactoring-high-performance` | adjacent | Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/145-java-refactoring-high-performance) |
|
||||
|
||||
## Source: JasonColapietro/suede-creator-skills
|
||||
|
||||
- Repository: [https://github.com/JasonColapietro/suede-creator-skills](https://github.com/JasonColapietro/suede-creator-skills) (commit `0dc2aef`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `suede-instagram-growth` | adjacent | Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-instagram-growth) |
|
||||
|
||||
## Source: jeremylongshore/claude-code-plugins-plus-skills
|
||||
|
||||
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `triage-display` | core | Internal process for the triage-summarizer agent. Defines the step-by-step procedure for formatting triage results as terminal markdown and parsing review commands. Not user-invocable — loaded by the triage-summarizer agent through its … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/mcp/x-bug-triage/skills/triage-display) |
|
||||
| `granola-install-auth` | core | Install and configure Granola AI meeting notes with calendar and audio permissions. Use when setting up Granola for the first time, connecting Google/Outlook calendars, granting macOS Screen Recording permission, or configuring Windows … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-install-auth) |
|
||||
| `obsidian-performance-tuning` | adjacent | Optimize Obsidian plugin performance for smooth operation in large vaults. Use when experiencing lag, memory issues, slow startup, or optimizing plugin code for vaults with thousands of files. Trigger with phrases like "obsidian … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/obsidian-pack/skills/obsidian-performance-tuning) |
|
||||
| `twinmind-observability` | adjacent | Monitor TwinMind transcription quality, meeting coverage, action item extraction rates, and memory vault health. Use when implementing observability, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-observability) |
|
||||
| `twinmind-data-handling` | adjacent | Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-data-handling) |
|
||||
| `twinmind-incident-runbook` | adjacent | Incident response for TwinMind failures: transcription not starting, audio not captured, sync failures, and calendar disconnect. Use when implementing incident runbook, or managing TwinMind meeting AI operations. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-incident-runbook) |
|
||||
| `twinmind-reference-architecture` | adjacent | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture) |
|
||||
| `apify-cost-tuning` | adjacent | Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger: "apify cost", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/apify-pack/skills/apify-cost-tuning) |
|
||||
|
||||
## Source: K-Dense-AI/claude-scientific-skills
|
||||
|
||||
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/get-available-resources) |
|
||||
|
||||
## Source: K-Dense-AI/scientific-agent-skills
|
||||
|
||||
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/get-available-resources) |
|
||||
|
||||
## Source: mukul975/Anthropic-Cybersecurity-Skills
|
||||
|
||||
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `implementing-memory-protection-with-dep-aslr` | adjacent | Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-memory-protection-with-dep-aslr) |
|
||||
| `detecting-rootkit-activity` | adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-rootkit-activity) |
|
||||
| `analyzing-linux-kernel-rootkits` | adjacent | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
|
||||
| `collecting-volatile-evidence-from-compromised-host` | adjacent | Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/collecting-volatile-evidence-from-compromised-host) |
|
||||
| `conducting-memory-forensics-with-volatility` | adjacent | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
|
||||
|
||||
## Source: nexscope-ai/eCommerce-Skills
|
||||
|
||||
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `ecommerce-email-marketing-builder` | adjacent | E-commerce email marketing system builder. Creates complete email automation flows with full copywriting, subject lines, ESP setup instructions, segmentation rules, and annual campaign calendars. Generates copy-paste-ready email sequences … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/ecommerce-email-marketing-builder) |
|
||||
|
||||
## Source: nexu-io/open-design
|
||||
|
||||
- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `pptx` | adjacent | Read, generate, and adjust PowerPoint slides, layouts, and templates. Useful for executive decks, training material, and product reviews. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/pptx) |
|
||||
|
||||
## Source: nWave-ai/nWave
|
||||
|
||||
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `nw-production-readiness` | adjacent | Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-production-readiness) |
|
||||
|
||||
## Source: open-gitagent/opengap
|
||||
|
||||
- Repository: [https://github.com/open-gitagent/opengap](https://github.com/open-gitagent/opengap) (commit `d7a8e2e`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `document-review` | adjacent | Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the … | [source](https://github.com/open-gitagent/opengap/tree/d7a8e2e/examples/full/skills/document-review) |
|
||||
|
||||
## Source: OpenRaiser/NanoResearch
|
||||
|
||||
- Repository: [https://github.com/OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch) (commit `7144364`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `unsloth` | adjacent | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/OpenRaiser/NanoResearch/tree/7144364/skills/vendor-ai-research/unsloth) |
|
||||
|
||||
## Source: Orchestra-Research/AI-research-SKILLs
|
||||
|
||||
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `gptq` | adjacent | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/10-optimization/gptq) |
|
||||
| `optimizing-attention-flash` | adjacent | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/10-optimization/flash-attention) |
|
||||
| `pytorch-fsdp2` | adjacent | Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/08-distributed-training/pytorch-fsdp2) |
|
||||
| `quantizing-models-bitsandbytes` | adjacent | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/10-optimization/bitsandbytes) |
|
||||
| `unsloth` | adjacent | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/03-fine-tuning/unsloth) |
|
||||
|
||||
## Source: qdrant/skills
|
||||
|
||||
- Repository: [https://github.com/qdrant/skills](https://github.com/qdrant/skills) (commit `2a06cb1`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `qdrant-monitoring` | adjacent | Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, … | [source](https://github.com/qdrant/skills/tree/2a06cb1/skills/qdrant-monitoring) |
|
||||
|
||||
## Source: redis/agent-skills
|
||||
|
||||
- Repository: [https://github.com/redis/agent-skills](https://github.com/redis/agent-skills) (commit `23e10ae`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `iris-development` | core | Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, … | [source](https://github.com/redis/agent-skills/tree/23e10ae/skills/iris-development) |
|
||||
|
||||
## Source: ruvnet/claude-code-flow
|
||||
|
||||
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
|
||||
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
|
||||
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||
| `hive-mind-advanced` | adjacent | Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hive-mind-advanced) |
|
||||
|
||||
## Source: ruvnet/ruflo
|
||||
|
||||
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
|
||||
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
|
||||
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||
| `hive-mind-advanced` | adjacent | Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hive-mind-advanced) |
|
||||
|
||||
## Source: silverstein/minutes
|
||||
|
||||
- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `minutes-verify` | core | Verify that Minutes is properly set up and working — model downloaded, mic accessible, directories exist, no stale state. Use when the user says "is minutes working", "check my setup", "verify minutes", "test recording setup", "why isn't … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-verify) |
|
||||
| `minutes-note` | core | Add a note to the current recording or annotate a past meeting. Use whenever the user says "note that", "remember this", "mark this as important", "add a note about", "annotate the meeting", or wants to capture a thought during or after a … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-note) |
|
||||
| `minutes-record` | core | Start or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-record) |
|
||||
|
||||
## Source: zechenzhangAGI/AI-research-SKILLs
|
||||
|
||||
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `gptq` | adjacent | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/10-optimization/gptq) |
|
||||
| `optimizing-attention-flash` | adjacent | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/10-optimization/flash-attention) |
|
||||
| `pytorch-fsdp2` | adjacent | Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/08-distributed-training/pytorch-fsdp2) |
|
||||
| `quantizing-models-bitsandbytes` | adjacent | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/10-optimization/bitsandbytes) |
|
||||
| `unsloth` | adjacent | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/03-fine-tuning/unsloth) |
|
||||
|
||||
## Source: zxkane/aws-skills
|
||||
|
||||
- Repository: [https://github.com/zxkane/aws-skills](https://github.com/zxkane/aws-skills) (commit `68530c6`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `aws-cost-operations` | adjacent | AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when … | [source](https://github.com/zxkane/aws-skills/tree/68530c6/plugins/aws-cost-ops/skills/aws-cost-operations) |
|
||||
135
references/market.md
Normal file
135
references/market.md
Normal file
@@ -0,0 +1,135 @@
|
||||
# Market evidence report — nuclear-reactor-operator
|
||||
|
||||
Source: **43 real job ads** (JSearch API, countries: us 43), extracted into the MSSQL evidence store; as of 2026-07-18.
|
||||
This report contains extracted, aggregated facts only — no ad text is
|
||||
reproduced (copyright / platform terms).
|
||||
|
||||
## Seniority distribution
|
||||
|
||||
| Seniority | Ads | Share |
|
||||
|---|---|---|
|
||||
| mid | 30 | 70 % |
|
||||
| n/a | 5 | 12 % |
|
||||
| junior | 4 | 9 % |
|
||||
| senior | 3 | 7 % |
|
||||
| lead | 1 | 2 % |
|
||||
|
||||
## Tools — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Hard skills — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | reactor operation | 15 | 35 % |
|
||||
| 2 | electrical switching | 10 | 23 % |
|
||||
| 3 | plant operation | 10 | 23 % |
|
||||
| 4 | clearance activities | 8 | 19 % |
|
||||
| 5 | radwaste management | 8 | 19 % |
|
||||
| 6 | emergency response | 7 | 16 % |
|
||||
| 7 | reactor monitoring | 7 | 16 % |
|
||||
| 8 | system monitoring | 6 | 14 % |
|
||||
| 9 | control room operations | 5 | 12 % |
|
||||
| 10 | nuclear power plant operation | 5 | 12 % |
|
||||
| 11 | equipment operation | 4 | 9 % |
|
||||
| 12 | alarm response | 3 | 7 % |
|
||||
| 13 | outage support | 3 | 7 % |
|
||||
| 14 | procedure review | 3 | 7 % |
|
||||
| 15 | radiation protection | 3 | 7 % |
|
||||
| 16 | shift supervision | 3 | 7 % |
|
||||
| 17 | system operation | 3 | 7 % |
|
||||
|
||||
## Methods — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | fire brigade training | 6 | 14 % |
|
||||
| 2 | on-the-job training | 5 | 12 % |
|
||||
| 3 | classroom training | 3 | 7 % |
|
||||
|
||||
## Responsibilities — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | log maintenance | 11 | 26 % |
|
||||
| 2 | plant operation | 10 | 23 % |
|
||||
| 3 | reactor monitoring | 8 | 19 % |
|
||||
| 4 | emergency response | 7 | 16 % |
|
||||
| 5 | shift coordination | 6 | 14 % |
|
||||
| 6 | condition notification | 4 | 9 % |
|
||||
| 7 | equipment operation | 3 | 7 % |
|
||||
| 8 | license training completion | 3 | 7 % |
|
||||
| 9 | licensed activity oversight | 3 | 7 % |
|
||||
| 10 | operations shift supervision | 3 | 7 % |
|
||||
| 11 | reactor operator supervision | 3 | 7 % |
|
||||
| 12 | work coordination | 3 | 7 % |
|
||||
|
||||
## Regional breakdown
|
||||
|
||||
> **Corpus note:** 43 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
|
||||
|
||||
### US (us)
|
||||
|
||||
43 ads.
|
||||
|
||||
**Top hard skills:**
|
||||
|
||||
- reactor operation — 35 % (15 ads)
|
||||
- electrical switching — 23 % (10 ads)
|
||||
- plant operation — 23 % (10 ads)
|
||||
- clearance activities — 19 % (8 ads)
|
||||
- radwaste management — 19 % (8 ads)
|
||||
- emergency response — 16 % (7 ads)
|
||||
- reactor monitoring — 16 % (7 ads)
|
||||
- system monitoring — 14 % (6 ads)
|
||||
- control room operations — 12 % (5 ads)
|
||||
- nuclear power plant operation — 12 % (5 ads)
|
||||
|
||||
**Top tools:**
|
||||
|
||||
- Plant Operator Selection System (POSS) — 5 % (2 ads)
|
||||
|
||||
**Seniority:** mid 70 % · n/a 12 % · junior 9 % · senior 7 % · lead 2 %
|
||||
|
||||
### UK (gb)
|
||||
|
||||
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
### EU/DACH (de, at, ch, nl)
|
||||
|
||||
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
|
||||
## Job title variants in the market
|
||||
|
||||
| Title | Ads |
|
||||
|---|---|
|
||||
| Nuclear Reactor Operator | 7 |
|
||||
| Senior Reactor Operator | 5 |
|
||||
| Reactor Operator | 3 |
|
||||
| Senior Reactor Operator In Training | 3 |
|
||||
| Nuclear Power Reactor Operator | 2 |
|
||||
| Aspiring Senior Reactor Operator — In Training | 1 |
|
||||
| Aspiring Senior Reactor Operator — Nuclear Plant Leader | 1 |
|
||||
| Lead Nuclear Reactor Operator - Plant Operations Leader | 1 |
|
||||
| Nuclear Equipment Operator | 1 |
|
||||
| Nuclear Operations Technician | 1 |
|
||||
| Nuclear Operations Technician I or Nuclear Operations Technician II - BOT Bypass - Harris Nuclear Plant | 1 |
|
||||
| Nuclear Operations Technician I or Nuclear Operations Technician II - Catawba Nuclear Station | 1 |
|
||||
| Nuclear Operations Technician I/II — RO/SRO Career Path | 1 |
|
||||
| Nuclear Plant Operations Technician – Safe, Power | 1 |
|
||||
| Nuclear Plant Operations Technician – Safe, Reliable Power | 1 |
|
||||
| Nuclear Plant Operator: Reactor & Fuel Fabrication | 1 |
|
||||
| Nuclear Reactor Operator - In Training for SRO License | 1 |
|
||||
| Nuclear Reactor Operator - Military Veterans | 1 |
|
||||
| Nuclear Reactor Operator - Now Hiring | 1 |
|
||||
| Nuclear Reactor Operator: License Path & Plant Ops | 1 |
|
||||
| Nuclear Reactor Technician I or Nuclear Reactor Technician II - Catawba Nuclear Station | 1 |
|
||||
| Plant Control Operator In Training (PCOIT) - Reactor Operator | 1 |
|
||||
| Reactor Operator - License Class | 1 |
|
||||
| Reactor Operator Candidate | 1 |
|
||||
| RO License Operator 1 - LOT Class | 1 |
|
||||
|
||||
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.
|
||||
27
references/profile.md
Normal file
27
references/profile.md
Normal file
@@ -0,0 +1,27 @@
|
||||
# Occupation profile — nuclear reactor operator
|
||||
|
||||
- **ESCO URI:** http://data.europa.eu/esco/occupation/b2eacfdf-5de5-4e8c-a8cb-3d32e201c210
|
||||
- **ESCO code:** 3131.3.6
|
||||
- **ISCO-08 group:** 3131 — Power production plant operators
|
||||
- **O*NET-SOC:** 19-4051.00 — Nuclear Technicians (match: closeMatch)
|
||||
|
||||
## Description (ESCO)
|
||||
|
||||
Nuclear reactor operators directly control nuclear reactors in power plants from control panels, and are solely responsible for the alterations in reactor reactivity. They start up operations and react to changes in status such as casualties and critical events. They monitor parameters and ensure compliance with safety regulations.
|
||||
|
||||
## Definition
|
||||
|
||||
nan
|
||||
|
||||
## Alternative labels
|
||||
|
||||
- nuclear reactor operation technician
|
||||
- nuclear reactor safety supervisor
|
||||
- nuclear reactor operative
|
||||
- nuclear reactor control panel worker
|
||||
- nuclear reactor controller
|
||||
- nuclear reactor technician
|
||||
- nuclear plant monitoring technician
|
||||
- nuclear reactor control panel monitor
|
||||
- nuclear reactor worker
|
||||
- nuclear plant safety technician
|
||||
75
references/skills.md
Normal file
75
references/skills.md
Normal file
@@ -0,0 +1,75 @@
|
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# Competences — nuclear reactor operator
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Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/b2eacfdf-5de5-4e8c-a8cb-3d32e201c210).
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## Essential
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||||
|
||||
- **automation technology** (knowledge)
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||||
- **avoid contamination** (skill/competence)
|
||||
- **contamination exposure regulations** (knowledge)
|
||||
- **electricity** (knowledge)
|
||||
- **ensure compliance with environmental legislation** (skill/competence)
|
||||
- **ensure compliance with radiation protection regulations** (skill/competence)
|
||||
- **ensure equipment cooling** (skill/competence)
|
||||
- **follow nuclear plant safety precautions** (skill/competence)
|
||||
- **hydraulics** (knowledge)
|
||||
- **maintain nuclear reactors** (skill/competence)
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||||
- **mechanical engineering** (knowledge)
|
||||
- **metrology** (knowledge)
|
||||
- **monitor automated machines** (skill/competence)
|
||||
- **monitor nuclear power plant systems** (skill/competence)
|
||||
- **monitor radiation levels** (skill/competence)
|
||||
- **nuclear energy** (knowledge)
|
||||
- **operate computerised control systems** (skill/competence)
|
||||
- **pneumatics** (knowledge)
|
||||
- **radiation protection** (knowledge)
|
||||
- **radioactive contamination** (knowledge)
|
||||
- **resolve equipment malfunctions** (skill/competence)
|
||||
- **respond to nuclear emergencies** (skill/competence)
|
||||
- **technical drawings** (knowledge)
|
||||
- **thermodynamics** (knowledge)
|
||||
- **use remote control equipment** (skill/competence)
|
||||
|
||||
## Optional
|
||||
|
||||
- calculate exposure to radiation (skill/competence)
|
||||
- design strategies for nuclear emergencies (skill/competence)
|
||||
- electric generators (knowledge)
|
||||
- electrical power safety regulations (knowledge)
|
||||
- ensure compliance with electricity distribution schedule (skill/competence)
|
||||
- follow safety precautions in work practices (skill/competence)
|
||||
- instruct employees on radiation protection (skill/competence)
|
||||
- liaise with engineers (skill/competence)
|
||||
- maintenance operations (knowledge)
|
||||
- manage emergency evacuation plans (skill/competence)
|
||||
- monitor electric generators (skill/competence)
|
||||
- nuclear physics (knowledge)
|
||||
- nuclear reprocessing (knowledge)
|
||||
- perform risk analysis (skill/competence)
|
||||
- plan maintenance activities (skill/competence)
|
||||
- protective safety equipment (knowledge)
|
||||
- respond to electrical power contingencies (skill/competence)
|
||||
- test safety strategies (skill/competence)
|
||||
- wear appropriate protective gear (skill/competence)
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 43 ads, as of 2026-07-18)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Hard skills
|
||||
|
||||
- reactor operation — **35 %**
|
||||
- electrical switching — **23 %**
|
||||
- plant operation — **23 %**
|
||||
- clearance activities — **19 %**
|
||||
- radwaste management — **19 %**
|
||||
|
||||
### Responsibilities
|
||||
|
||||
- log maintenance — **26 %**
|
||||
- plant operation — **23 %**
|
||||
- reactor monitoring — **19 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
42
references/tasks.md
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42
references/tasks.md
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|
||||
# Tasks & work activities — nuclear reactor operator
|
||||
|
||||
Source: O*NET 30.3, occupation 19-4051.00 (Nuclear Technicians).
|
||||
|
||||
## Task statements
|
||||
|
||||
- **[Core]** Follow nuclear equipment operational policies and procedures that ensure environmental safety.
|
||||
- **[Core]** Conduct surveillance testing to determine safety of nuclear equipment.
|
||||
- **[Core]** Monitor nuclear reactor equipment performance to identify operational inefficiencies, hazards, or needs for maintenance or repair.
|
||||
- **[Core]** Test plant equipment to ensure it is operating properly.
|
||||
- **[Core]** Apply safety tags to equipment needing maintenance.
|
||||
- **[Core]** Follow policies and procedures for radiation workers to ensure personnel safety.
|
||||
- **[Core]** Modify, devise, or maintain nuclear equipment used in operations.
|
||||
- **[Supplemental]** Monitor instruments, gauges, or recording devices under direction of nuclear experimenters.
|
||||
- **[Supplemental]** Perform testing, maintenance, repair, or upgrading of accelerator systems.
|
||||
- **[Supplemental]** Warn maintenance workers of radiation hazards and direct workers to vacate hazardous areas.
|
||||
- **[Supplemental]** Calculate equipment operating factors, such as radiation times, dosages, temperatures, gamma intensities, or pressures, using standard formulas and conversion tables.
|
||||
- **[Supplemental]** Measure the intensity and identify the types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments.
|
||||
- **[Supplemental]** Communicate with accelerator maintenance personnel to ensure readiness of support systems, such as vacuum, water cooling, or radio frequency power sources.
|
||||
- **[Supplemental]** Identify and implement appropriate decontamination procedures, based on equipment and the size, nature, and type of contamination.
|
||||
- **[Supplemental]** Decontaminate objects by cleaning them using soap or solvents or by abrading using brushes, buffing machines, or sandblasting machines.
|
||||
- **[Supplemental]** Collect air, water, gas or solid samples for testing to determine radioactivity levels or to ensure appropriate radioactive containment.
|
||||
- **[nan]** Determine or recommend radioactive decontamination procedures, according to the size and nature of equipment and the degree of contamination.
|
||||
- **[nan]** Set up equipment that automatically detects area radiation deviations and test detection equipment to ensure its accuracy.
|
||||
|
||||
## Detailed work activities
|
||||
|
||||
- Advise others on management of emergencies or hazardous situations or materials.
|
||||
- Clean objects.
|
||||
- Collect environmental data or samples.
|
||||
- Communicate safety or hazard information to others.
|
||||
- Communicate with other workers to coordinate activities.
|
||||
- Identify sustainable business practices.
|
||||
- Inspect equipment to ensure proper functioning.
|
||||
- Inspect work sites to identify potential environmental or safety hazards.
|
||||
- Maintain laboratory or technical equipment.
|
||||
- Maintain work equipment or machinery.
|
||||
- Measure radiation levels.
|
||||
- Monitor operational procedures in technical environments to ensure conformance to standards.
|
||||
- Monitor operations to ensure compliance with safety or security policies or regulations.
|
||||
- Set up laboratory or field equipment.
|
||||
- Test mechanical systems to ensure proper functioning.
|
||||
19
references/tools.md
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19
references/tools.md
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|
||||
# Tools & technology — nuclear reactor operator
|
||||
|
||||
Source: O*NET 30.3 'Software Skills' for 19-4051.00.
|
||||
|
||||
| Software | Category | Hot technology |
|
||||
|---|---|---|
|
||||
| Microsoft Access | Data base user interface and query software | yes |
|
||||
| Structured query language SQL | Data base user interface and query software | yes |
|
||||
| Microsoft Office software | Office suite software | yes |
|
||||
| Linux | Operating system software | yes |
|
||||
| Microsoft Windows | Operating system software | yes |
|
||||
| Microsoft PowerPoint | Presentation software | yes |
|
||||
| Microsoft Excel | Spreadsheet software | yes |
|
||||
| Microsoft Word | Word processing software | yes |
|
||||
| VMWare ESX Server | Application server software | |
|
||||
| VMware | Clustering software | |
|
||||
| Data logging software | Data base user interface and query software | |
|
||||
| Database software | Data base user interface and query software | |
|
||||
| Supervisory control and data acquisition SCADA software | Industrial control software | |
|
||||
Reference in New Issue
Block a user