feat: wood-production-supervisor skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 18:01:56 +02:00
commit 327220e44b
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# Data provenance — wood-production-supervisor
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — wood-production-supervisor
"ESCO (occupation & competences)" : 45
"O*NET (tasks & tools)" : 90
"Job boards (market evidence)" : 94
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 186
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 45 | 10.7 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 90 | 21.4 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 94 | 22.4 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.2 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 186 | 44.3 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: wood-production-supervisor
description: "Occupational skill for the role 'wood production supervisor' (also: sawmill supervisor, overseer of wood production, supervisor in wood production, wood production controller, sawmill controller, wood production manager). Use when the user asks for typical wood production supervisor work such as: typical wood production supervisor responsibilities"
---
# Wood Production Supervisor
Wood production supervisors monitor processes involved in the conversion of felled trees into usable lumber. They follow the production process and make quick decisions to resolve problems. They ensure that production targets, such as quantity and quality of products, timeliness and cost-effectiveness, can be achieved.
## Core workflow
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- analyse the need for technical resources
- communicate problems to senior colleagues
- coordinate communication within a team
- create solutions to problems
- ensure finished product meet requirements
- evaluate employees work
- follow production schedule
- keep records of work progress
- liaise with managers
- manage resources
- meet productivity targets
- oversee production requirements
- quality standards
- report on production results
- wear appropriate protective gear
## Hot technologies
- Apple Safari
- Autodesk AutoCAD
- Extensible markup language XML
- Kronos Workforce Timekeeper
- Microsoft Access
- Microsoft Excel
- Microsoft Office software
- Microsoft Outlook
- Microsoft PowerPoint
- Microsoft Project
<!-- hot-tech -->
## Hot technologies
Top tools from 56 gated job ads (see references/market.md, as of 2026-07-20):
- Microsoft Office — 66 %
- Microsoft Excel — 5 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/bdfd018a-aae1-407e-a88c-471e50b0695d), O*NET 30.3 (51-1011.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "wood-production-supervisor",
"title": "wood production supervisor",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/bdfd018a-aae1-407e-a88c-471e50b0695d",
"esco_code": "3122.4.16",
"isco_group": "3122",
"onet_soc": "51-1011.00",
"crosswalk_match": "manual nearest via ISCO 3122 (First-Line Supervisors of Production and Operating Workers)"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"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",
"counts": {
"tasks": 0,
"dwas": 0,
"skills_essential": 16,
"skills_optional": 28,
"software": 0
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 2
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 2
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 1
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 4
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 3
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 12
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 7
},
"codeaholicguy/ai-devkit": {
"repo": "https://github.com/codeaholicguy/ai-devkit",
"commit": "c037861",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"wanshuiyin/Anti-Autoresearch": {
"repo": "https://github.com/wanshuiyin/Anti-Autoresearch",
"commit": "c7f7f0d",
"license": "MIT",
"skills": 1
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"staruhub/ClaudeSkills": {
"repo": "https://github.com/staruhub/ClaudeSkills",
"commit": "3d4045d",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 6
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 2
},
"Weizhena/Deep-Research-skills": {
"repo": "https://github.com/Weizhena/Deep-Research-skills",
"commit": "e5479f8",
"license": "MIT",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 3
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 3
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 1
},
"qdrant/skills": {
"repo": "https://github.com/qdrant/skills",
"commit": "2a06cb1",
"license": "Apache-2.0",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 2
},
"JasonColapietro/suede-creator-skills": {
"repo": "https://github.com/JasonColapietro/suede-creator-skills",
"commit": "0dc2aef",
"license": "MIT",
"skills": 1
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 3
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 3
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 1
},
"microsoft/skills": {
"repo": "https://github.com/microsoft/skills",
"commit": "dc543aa",
"license": "MIT",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 4
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"alinaqi/claude-bootstrap": {
"repo": "https://github.com/alinaqi/claude-bootstrap",
"commit": "f61ec87",
"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": 22,
"adjacent": 58
}
},
"provenance": {
"items": {
"esco": 45,
"onet": 90,
"jobads": 94,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 186,
"stackx": 0
},
"share_percent": {
"esco": 10.7,
"onet": 21.4,
"jobads": 22.4,
"wiki_ai": 0.0,
"anthropic": 1.2,
"ai_skills": 44.3,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — wood-production-supervisor
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,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## 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) |
| `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 |
|---|---|---|---|
| `incident-forensics` | core | 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) |
| `translation-management` | adjacent | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
| `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) |
| `unity-addressables` | adjacent | Unity Addressables asset management skill for remote catalogs, content updates, asset bundles, and memory-efficient asset loading. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/game-development/skills/unity-addressables) |
| `vector-memory` | adjacent | HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/ruflo/skills/vector-memory) |
| `memory-summarization` | adjacent | Conversation summarization for memory compression and context management | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/ai-agents-conversational/skills/memory-summarization) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | core | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
## 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) |
| `knowledge-ops` | adjacent | Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/knowledge-ops) |
## Source: alinaqi/claude-bootstrap
- Repository: [https://github.com/alinaqi/claude-bootstrap](https://github.com/alinaqi/claude-bootstrap) (commit `f61ec87`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `session-management` | adjacent | Context preservation, tiered summarization, resumability | [source](https://github.com/alinaqi/claude-bootstrap/tree/f61ec87/skills/session-management) |
## 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 |
|---|---|---|---|
| `founder-coach` | core | 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) |
| `ceo-advisor` | adjacent | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/ceo-advisor) |
## 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-schema` | adjacent | Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-schema) |
| `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) |
| `memory-lifecycle` | adjacent | Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use when marking items complete, archiving old entities, or managing any folder-based … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-lifecycle) |
| `memory-literary-analysis` | adjacent | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
## 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 |
|---|---|---|---|
| `hud` | core | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
| `code-review-excellence` | core | This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/code-review-excellence) |
| `results-report` | core | This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/results-report) |
## Source: codeaholicguy/ai-devkit
- Repository: [https://github.com/codeaholicguy/ai-devkit](https://github.com/codeaholicguy/ai-devkit) (commit `c037861`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory` | core | AI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress. | [source](https://github.com/codeaholicguy/ai-devkit/tree/c037861/skills/memory) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ops-speedup` | core | Cross-platform, hardware-adaptive system optimizer. Auto-detects macOS / Linux / WSL / Windows (MINGW/Cygwin/MSYS2) and CPU/RAM/disk/GPU profile, then picks the right cleanup strategy. Scans reclaimable disk space, memory pressure, runaway … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/claude-ops/skills/ops-speedup) |
| `google-calendar-automation` | adjacent | Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/google-calendar-automation) |
## 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 |
|---|---|---|---|
| `context-window-management` | core | Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/context-window-management) |
| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/inference-serving-vllm) |
| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-crewai) |
| `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) |
| `c-pro` | adjacent | Write efficient C code with proper memory management, pointer | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/c-pro) |
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-langchain) |
## 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 |
|---|---|---|---|
| `sentry` | adjacent | Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/sentry) |
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/treatment-plans) |
## Source: giuseppe-trisciuoglio/developer-kit
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-md-management` | adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
## 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 |
|---|---|---|---|
| `performance-profiling` | adjacent | Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/performance-profiling) |
## 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 |
|---|---|---|---|
| `exploit-development` | core | Use when turning a memory-corruption bug into a working PoC — stack/ROP, glibc heap & FSOP, format strings, browser/JIT type confusion & UAF, Linux/Windows kernel LPE against ASLR/DEP/CFG/CET/V8-Sandbox | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/exploit-development) |
## 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 |
|---|---|---|---|
| `apify-cost-tuning` | core | 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) |
| `hyperflow-status` | core | Hyperflow project status. Use to see current hyperflow state — "what is hyperflow doing", "show task progress", "where are we". Read-only — reports in-flight tasks, memory count, and progress. Never modifies state or runs work. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/hyperflow/templates/antigravity/skills/hyperflow-status) |
| `granola-common-errors` | core | Troubleshoot common Granola errors \u2014 audio capture failures, transcription\ \ issues,\ncalendar sync problems, and integration errors. Platform-specific fixes\ \ for macOS and Windows.\nTrigger: \"granola error\", \"granola not … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-common-errors) |
| `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) |
| `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) |
| `vertex-engine-inspector` | adjacent | Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to inspect, validate, or audit an … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-ml/jeremy-vertex-engine/skills/vertex-engine-inspector) |
| `oraclecloud-sdk-patterns` | adjacent | Production-grade OCI SDK patterns for client lifecycle, retry logic, and memory leak avoidance. Use when building long-running OCI services, fixing memory leaks with Instance Principal auth, or implementing retry/backoff. Trigger with "oci … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/oraclecloud-pack/skills/oraclecloud-sdk-patterns) |
| `windsurf-cascade-context` | adjacent | Manage Cascade context window and memory for complex projects. Activate when users mention "cascade context", "ai memory", "context management", "large codebase navigation", or "multi-session development". Handles context optimization and … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-cascade-context) |
| `evernote-core-workflow-a` | adjacent | Execute Evernote primary workflow: Note Creation and Management. Use when creating notes, organizing content, managing notebooks, or implementing note-taking features. Trigger with phrases like "create evernote note", "evernote note … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-a) |
| `notion-load-scale` | adjacent | High-volume Notion operations: parallel requests within 3 req/sec, worker queues, database pagination at scale, incremental sync for large workspaces, and memory management for bulk operations. Trigger with phrases like "notion scale", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/notion-pack/skills/notion-load-scale) |
| `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) |
| `cursor-context-management` | adjacent | Optimize context window usage in Cursor with @-mentions, context pills, and conversation strategy. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management", "@-mentions", "context pills". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-context-management) |
## 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 |
|---|---|---|---|
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/treatment-plans) |
## 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 |
|---|---|---|---|
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/treatment-plans) |
## Source: ljagiello/ctf-skills
- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) |
## Source: microsoft/skills
- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `kql` | adjacent | KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/skills/kql) |
## 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 |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
| `analyzing-memory-dumps-with-volatility` | core | Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-dumps-with-volatility) |
| `detecting-t1003-credential-dumping-with-edr` | core | Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-t1003-credential-dumping-with-edr) |
| `performing-memory-forensics-with-volatility3-plugins` | core | Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-memory-forensics-with-volatility3-plugins) |
## 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-generator` | adjacent | Create and edit PowerPoint presentations from scratch with PptxGenJS — MiniMax's production-tested deck pipeline. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/pptx-generator) |
## 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: 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 |
|---|---|---|---|
| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/12-inference-serving/vllm) |
| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/crewai) |
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
## 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-debugging` | adjacent | Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's … | [source](https://github.com/qdrant/skills/tree/2a06cb1/skills/qdrant-monitoring/debugging) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `handoff-protocols` | adjacent | Manages work transitions between team members or agents by creating structured handoff documents, summarizing project status, documenting key decisions, blockers, and open questions, and generating onboarding briefs. Use when someone needs … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/collaboration/handoff-protocols) |
## 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$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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) |
| `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) |
| `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) |
## Source: samber/cc-skills-golang
- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `golang-security` | adjacent | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-security) |
## Source: secondsky/claude-skills
- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `mobile-app-debugging` | adjacent | Mobile app debugging for iOS, Android, cross-platform frameworks. Use for crashes, memory leaks, performance issues, network problems, or encountering Xcode instruments, Android Profiler, React Native debugger, native bridge errors. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/mobile-app-debugging/skills/mobile-app-debugging) |
## Source: staruhub/ClaudeSkills
- Repository: [https://github.com/staruhub/ClaudeSkills](https://github.com/staruhub/ClaudeSkills) (commit `3d4045d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need … | [source](https://github.com/staruhub/ClaudeSkills/tree/3d4045d/skills/Geek-skills-deep-research) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | adjacent | Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/memory-management) |
## Source: vibeeval/vibecosystem
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `knowledge-management` | adjacent | Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-management) |
## Source: wanshuiyin/Anti-Autoresearch
- Repository: [https://github.com/wanshuiyin/Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) (commit `c7f7f0d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `novelty-duplication-advisory` | core | MEMO-ONLY prior-work overlap advisory: surfaces the two ADVISORY taxonomy signals neither a tool nor a model can decide from the paper alone — ADV-TRIVIAL-COMBINATION (standard A+B+C / 缝合 stapling) and ADV-DUPLICATE-PUBLICATION (repackaged … | [source](https://github.com/wanshuiyin/Anti-Autoresearch/tree/c7f7f0d/skills/novelty-duplication-advisory) |
## Source: Weizhena/Deep-Research-skills
- Repository: [https://github.com/Weizhena/Deep-Research-skills](https://github.com/Weizhena/Deep-Research-skills) (commit `e5479f8`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `research-report` | core | Summarize deep research results into markdown report, cover all fields, skip uncertain values. | [source](https://github.com/Weizhena/Deep-Research-skills/tree/e5479f8/skills/research-codex-en/research-report) |
## 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 |
|---|---|---|---|
| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/12-inference-serving/vllm) |
| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/crewai) |
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/langchain) |

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# Market evidence report — wood-production-supervisor
Source: **56 real job ads** (JSearch API, countries: us 56), extracted into the MSSQL evidence store; as of 2026-07-20.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 34 | 61 % |
| lead | 22 | 39 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Microsoft Office | 37 | 66 % |
| 2 | Microsoft Excel | 3 | 5 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | quality control | 43 | 77 % |
| 2 | production scheduling | 34 | 61 % |
| 3 | asset utilization | 33 | 59 % |
| 4 | process management | 31 | 55 % |
| 5 | budgeting | 24 | 43 % |
| 6 | team leadership | 11 | 20 % |
| 7 | analytical skills | 7 | 12 % |
| 8 | resource management | 7 | 12 % |
| 9 | continuous improvement | 6 | 11 % |
| 10 | training and development | 6 | 11 % |
| 11 | workforce management | 6 | 11 % |
| 12 | problem solving | 5 | 9 % |
| 13 | wood processing | 5 | 9 % |
| 14 | production planning | 4 | 7 % |
| 15 | production supervision | 4 | 7 % |
| 16 | equipment maintenance | 3 | 5 % |
| 17 | operational efficiency | 3 | 5 % |
| 18 | production coordination | 3 | 5 % |
| 19 | production performance management | 3 | 5 % |
| 20 | safety compliance | 3 | 5 % |
| 21 | safety management | 3 | 5 % |
| 22 | training | 3 | 5 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | continuous improvement | 7 | 12 % |
| 2 | lean manufacturing | 3 | 5 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | personnel leadership | 30 | 54 % |
| 2 | standard establishment | 30 | 54 % |
| 3 | day-to-day operations oversight | 24 | 43 % |
| 4 | personnel training | 24 | 43 % |
| 5 | performance optimization | 18 | 32 % |
| 6 | safety performance maintenance | 11 | 20 % |
| 7 | team leadership | 7 | 12 % |
| 8 | functional area optimization | 6 | 11 % |
| 9 | sawmill operation oversight | 6 | 11 % |
| 10 | daily operations leadership | 3 | 5 % |
| 11 | daily operations oversight | 3 | 5 % |
| 12 | performance driving | 3 | 5 % |
| 13 | production optimization | 3 | 5 % |
| 14 | production oversight | 3 | 5 % |
| 15 | quality standard establishment | 3 | 5 % |
## Regional breakdown
> **Corpus note:** 56 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
56 ads.
**Top hard skills:**
- quality control — 77 % (43 ads)
- production scheduling — 61 % (34 ads)
- asset utilization — 59 % (33 ads)
- process management — 55 % (31 ads)
- budgeting — 43 % (24 ads)
- team leadership — 20 % (11 ads)
- analytical skills — 12 % (7 ads)
- resource management — 12 % (7 ads)
- continuous improvement — 11 % (6 ads)
- training and development — 11 % (6 ads)
**Top tools:**
- Microsoft Office — 66 % (37 ads)
- Microsoft Excel — 5 % (3 ads)
- Microsoft Outlook — 4 % (2 ads)
- Microsoft Word — 4 % (2 ads)
**Seniority:** mid 61 % · lead 39 %
### 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 |
|---|---|
| Sawmill Supervisor | 33 |
| Production Supervisor | 4 |
| Wood Processing Supervisor: CNC, Lean Ops & Quality | 3 |
| Sawmill Operations Supervisor | 2 |
| Evening Production Supervisor Wood/Doors | $25/hr | 1 |
| Lead Production Supervisor - Wood Manufacturing | 1 |
| Lead Production Supervisor Wood Manufacturing | 1 |
| Planer Swing Shift Supervisor - Warrenton, Oregon | 1 |
| Plywood Plant Production Supervisor (Shift Flexible) | 1 |
| Production Supervisor - Lead Our Wood, Laminating & Upholstery Team | 1 |
| Production Supervisor - Night shift | 1 |
| Production Supervisor - Wood/Plywood Mill (All Shifts) | 1 |
| Production Supervisor (Wood Processing) | 1 |
| Production Supervisor at Austin Allen Company - Professional Recruitment Hot Springs, AR | 1 |
| Senior Production Supervisor - Wood Manufacturing | 1 |
| Shift Supervisor, Wood Products - Lead Safety & Production | 1 |
| Wood Processing Supervisor | 1 |
| Wood Products Production Supervisor: Safety & Growth | 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.

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# Occupation profile — wood production supervisor
- **ESCO URI:** http://data.europa.eu/esco/occupation/bdfd018a-aae1-407e-a88c-471e50b0695d
- **ESCO code:** 3122.4.16
- **ISCO-08 group:** 3122 — Manufacturing supervisors
## Description (ESCO)
Wood production supervisors monitor processes involved in the conversion of felled trees into usable lumber. They follow the production process and make quick decisions to resolve problems. They ensure that production targets, such as quantity and quality of products, timeliness and cost-effectiveness, can be achieved.
## Definition
nan
## Alternative labels
- sawmill supervisor
- overseer of wood production
- supervisor in wood production
- wood production controller
- sawmill controller
- wood production manager
- controller of wood production
- saw mill supervisor
- sawmill senior manager
- wood production overseer
- saw mill controller
- manager of wood production
- supervisor of wood production
- saw mill overseer
- saw mill senior manager
- sawmill overseer

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# Competences — wood production supervisor
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/bdfd018a-aae1-407e-a88c-471e50b0695d).
## Essential
- **analyse the need for technical resources** (skill/competence)
- **communicate problems to senior colleagues** (skill/competence)
- **coordinate communication within a team** (skill/competence)
- **create solutions to problems** (skill/competence)
- **ensure finished product meet requirements** (skill/competence)
- **evaluate employees work** (skill/competence)
- **follow production schedule** (skill/competence)
- **keep records of work progress** (skill/competence)
- **liaise with managers** (skill/competence)
- **manage resources** (skill/competence)
- **meet productivity targets** (skill/competence)
- **oversee production requirements** (skill/competence)
- **quality standards** (knowledge)
- **report on production results** (skill/competence)
- **wear appropriate protective gear** (skill/competence)
- **woodworking processes** (knowledge)
## Optional
- advise on machinery malfunctions (skill/competence)
- analyse production processes for improvement (skill/competence)
- check material resources (skill/competence)
- cutting technologies (knowledge)
- distinguish wood quality (skill/competence)
- ensure compliance with environmental legislation (skill/competence)
- first aid (knowledge)
- functionalities of machinery (knowledge)
- identify hazards in the workplace (skill/competence)
- inspect wood materials (skill/competence)
- integrate new products in manufacturing (skill/competence)
- liaise with quality assurance (skill/competence)
- monitor machine operations (skill/competence)
- monitor manufacturing quality standards (skill/competence)
- oversee logistics of finished products (skill/competence)
- oversee quality control (skill/competence)
- quality assurance methodologies (knowledge)
- record production data for quality control (skill/competence)
- recruit personnel (skill/competence)
- sawing techniques (knowledge)
- schedule regular machine maintenance (skill/competence)
- train employees (skill/competence)
- types of sawing blades (knowledge)
- types of wood (knowledge)
- undertake inspections (skill/competence)
- wood cuts (knowledge)
- woodworking tools (knowledge)
- write inspection reports (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 56 ads, as of 2026-07-20)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- quality control — **77 %**
- production scheduling — **61 %**
- asset utilization — **59 %**
- process management — **55 %**
- budgeting — **43 %**
- team leadership — **20 %**
### Responsibilities
- standard establishment — **54 %**
- personnel leadership — **54 %**
- personnel training — **43 %**
- day-to-day operations oversight — **43 %**
- performance optimization — **32 %**
- safety performance maintenance — **20 %**
<!-- market-evidence -->

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# Tasks & work activities — wood production supervisor
Source: O*NET 30.3, occupation 51-1011.00 (First-Line Supervisors of Production and Operating Workers) — manual nearest-occupation mapping via ISCO group 3122; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Conduct employee training in equipment operations or work and safety procedures, or assign employee training to experienced workers.
- **[Core]** Keep records of employees' attendance and hours worked.
- **[Core]** Recommend or execute personnel actions, such as hirings, evaluations, or promotions.
- **[Core]** Evaluate employee performance.
- **[Core]** Enforce safety and sanitation regulations.
- **[Core]** Direct and coordinate the activities of employees engaged in the production or processing of goods, such as inspectors, machine setters, or fabricators.
- **[Core]** Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs.
- **[Core]** Confer with other supervisors to coordinate operations and activities within or between departments.
- **[Core]** Plan and establish work schedules, assignments, and production sequences to meet production goals.
- **[Core]** Inspect materials, products, or equipment to detect defects or malfunctions.
- **[Core]** Observe work and monitor gauges, dials, and other indicators to ensure that operators conform to production or processing standards.
- **[Core]** Confer with management or subordinates to resolve worker problems, complaints, or grievances.
- **[Core]** Interpret specifications, blueprints, job orders, and company policies and procedures for workers.
- **[Core]** Maintain operations data, such as time, production, and cost records, and prepare management reports of production results.
- **[Core]** Recommend or implement measures to motivate employees and to improve production methods, equipment performance, product quality, or efficiency.
- **[Core]** Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.
- **[Core]** Requisition materials, supplies, equipment parts, or repair services.
- **[Core]** Set up and adjust machines and equipment.
- **[Core]** Calculate labor and equipment requirements and production specifications, using standard formulas.
- **[Core]** Plan and develop new products and production processes.
## Detailed work activities
- Adjust equipment to ensure optimal performance.
- Advise others on ways to improve processes or products.
- Calculate specific material, equipment, or labor requirements for production.
- Confer with others to resolve production problems or equipment malfunctions.
- Determine metal or plastic production methods.
- Direct operational or production activities.
- Enforce rules or regulations.
- Evaluate employee performance.
- Exchange information with colleagues.
- Inspect production equipment.
- Install equipment attachments or components.
- Instruct workers to use equipment or perform technical procedures.
- Monitor equipment operation to ensure proper functioning.
- Order materials, supplies, or equipment.
- Perform human resources activities.
- Plan production or operational procedures or sequences.
- Record operational or production data.
- Study blueprints or other instructions to determine equipment setup requirements.

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# Tools & technology — wood production supervisor
Source: O*NET 30.3, occupation 51-1011.00 (First-Line Supervisors of Production and Operating Workers) — manual nearest-occupation mapping via ISCO group 3122; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Apple Safari | Internet browser software | yes |
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Extensible markup language XML | Enterprise application integration software | yes |
| Kronos Workforce Timekeeper | Time accounting software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft SharePoint | Document management software | yes |
| Microsoft Word | Word processing software | yes |
| Mozilla Firefox | Internet browser software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Apple iWork Pages | Word processing software | |
| Aptean Made2Manage | Enterprise resource planning ERP software | |
| Bowen & Groves M1 ERP | Enterprise resource planning ERP software | |
| Capterra Enterprise Resource Planning | Enterprise resource planning ERP software | |
| Database software | Data base user interface and query software | |
| Delphi Technology | Financial analysis software | |
| Email software | Electronic mail software | |
| Encompix ERP | Enterprise resource planning ERP software | |
| Epicor Vantage ERP | Enterprise resource planning ERP software | |
| Epicor Vista ERP | Enterprise resource planning ERP software | |
| Exact MAX | Enterprise resource planning ERP software | |
| GHG Clockwise | Human resources software | |
| Giraffe Production Systems Giraffe Schedule System | Enterprise resource planning ERP software | |
| Google Chrome | Internet browser software | |
| HCSS HeavyJob | Project management software | |
| IBM Notes | Electronic mail software | |
| Intacct ERP | Enterprise resource planning ERP software | |
| Integrated materials management systems | Materials requirements planning logistics and supply chain software | |
| Materials management software | Materials requirements planning logistics and supply chain software | |
| Microsoft Axapta | Enterprise resource planning ERP software | |
| Microsoft Exchange | Electronic mail software | |
| Microsoft Internet Explorer | Internet browser software | |
| Microsoft Total Quality Control Management | Data base user interface and query software | |
| Minitab | Analytical or scientific software | |
| NetSuite NetERP | Enterprise resource planning ERP software | |
| Operational databases | Data base user interface and query software | |
| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | |
| QA Software QMS Materials Management | Materials requirements planning logistics and supply chain software | |
| Resource planning software | Enterprise resource planning ERP software | |
| Retain Resource Planning | Enterprise resource planning ERP software | |
| SAP Business One | Enterprise resource planning ERP software | |
| Supervisory control and data acquisition SCADA software | Industrial control software | |
| SYSPRO business software | Enterprise resource planning ERP software | |
| Technology Group International Enterprise 21 ERP | Enterprise resource planning ERP software | |
| Timekeeping software | Time accounting software | |
| Total quality management TQM software | Project management software | |
| Work Technology WorkTech Time | Time accounting software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 56 ads, as of 2026-07-20)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Microsoft Office — **66 %**
<!-- market-evidence -->