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feat: prompter skill package v0.1.0

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# Data provenance — prompter
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':'#d97757','pie4':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — prompter
"ESCO (occupation & competences)" : 33
"O*NET (tasks & tools)" : 48
"Anthropic official Claude skills" : 9
"External AI skill packs (mapped)" : 185
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 33 | 12.0 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 48 | 17.5 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 0 | 0.0 % | 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 | 9 | 3.3 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 185 | 67.3 % | 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: prompter
description: "Occupational skill for the role 'prompter' (also: prompt, theatre prompter, souffleur, opera prompter, theater prompter). Use when the user asks for typical prompter work such as: typical prompter responsibilities"
---
# Prompter
Prompters prompt or cue performers when they forget their lines or neglect to move to the right position on the stage.
## 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)
- adapt to acting roles
- analyse own performance
- analyse theatre texts
- attend read-through
- attend rehearsals
- develop drama production process
- follow directions of the artistic director
- interact with fellow actors
- interpret performance concepts in the creative process
- memorise lines
- memorise script
- read scripts
- rehearse role
- rehearse with fellow actors
- study roles from scripts
## Hot technologies
- Autodesk AutoCAD
- Microsoft Access
- Microsoft Excel
- Microsoft Office software
- Microsoft Outlook
- Microsoft PowerPoint
- Microsoft Project
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/949f1dc9-fb19-4212-8ac6-35ce83c88921), O*NET 30.3 (27-4015.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "prompter",
"title": "prompter",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/949f1dc9-fb19-4212-8ac6-35ce83c88921",
"esco_code": "3435.16",
"isco_group": "3435",
"onet_soc": "27-4015.00",
"crosswalk_match": "manual nearest via ISCO 3435 (Lighting Technicians)"
},
"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": 17,
"skills_optional": 15,
"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": "9d2f1ae",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 2
},
"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
},
"wanshuiyin/Auto-claude-code-research-in-sleep": {
"repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"commit": "eb5c9d7",
"license": "MIT",
"skills": 1
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 6
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 5
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 6
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 10
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 2
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"googleworkspace/cli": {
"repo": "https://github.com/googleworkspace/cli",
"commit": "a3768d0",
"license": "Apache-2.0",
"skills": 2
},
"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
},
"OthmanAdi/langsmith-fetch-skill": {
"repo": "https://github.com/OthmanAdi/langsmith-fetch-skill",
"commit": "1a995f1",
"license": "MIT",
"skills": 1
},
"levnikolaevich/claude-code-skills": {
"repo": "https://github.com/levnikolaevich/claude-code-skills",
"commit": "2922616",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 2
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"harperreed/dotfiles": {
"repo": "https://github.com/harperreed/dotfiles",
"commit": "6b5ced1",
"license": "MIT",
"skills": 2
},
"avelikiy/great_cto": {
"repo": "https://github.com/avelikiy/great_cto",
"commit": "4fe1e39",
"license": "MIT",
"skills": 1
},
"gooseworks-ai/goose-skills": {
"repo": "https://github.com/gooseworks-ai/goose-skills",
"commit": "94ec916",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 2
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 3
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 2
},
"fcakyon/claude-codex-settings": {
"repo": "https://github.com/fcakyon/claude-codex-settings",
"commit": "44b7c00",
"license": "Apache-2.0",
"skills": 2
},
"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
},
"eigent-ai/eigent": {
"repo": "https://github.com/eigent-ai/eigent",
"commit": "c6a97e2",
"license": "Apache-2.0",
"skills": 1
},
"malob/nix-config": {
"repo": "https://github.com/malob/nix-config",
"commit": "f2ed178",
"license": "MIT",
"skills": 1
},
"pcliangx/AppGenesisForge": {
"repo": "https://github.com/pcliangx/AppGenesisForge",
"commit": "81ea032",
"license": "MIT",
"skills": 1
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 2
},
"eduardo-sl/go-agent-skills": {
"repo": "https://github.com/eduardo-sl/go-agent-skills",
"commit": "3c45d7f",
"license": "MIT",
"skills": 1
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 5,
"adjacent": 75
}
},
"provenance": {
"items": {
"esco": 33,
"onet": 48,
"jobads": 0,
"wiki_ai": 0,
"anthropic": 9,
"ai_skills": 185,
"stackx": 0
},
"share_percent": {
"esco": 12.0,
"onet": 17.5,
"jobads": 0.0,
"wiki_ai": 0.0,
"anthropic": 3.3,
"ai_skills": 67.3,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — prompter
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 |
|---|---|---|---|
| `console-performance` | adjacent | Console optimization skill for memory constraints and TCRs. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/game-development/skills/console-performance) |
| `electron-memory-profiler` | adjacent | Profile Electron app memory usage, detect leaks, analyze renderer process memory, and optimize memory consumption | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/desktop-development/skills/electron-memory-profiler) |
| `gas-optimization` | adjacent | Advanced gas optimization techniques for EVM smart contracts. Covers storage packing, memory vs calldata optimization, assembly/Yul, efficient data structures, batch operations, and benchmark-driven optimization strategies. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/cryptography-blockchain/skills/gas-optimization) |
## 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 |
|---|---|---|---|
| `ck` | adjacent | Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/ck) |
| `content-engine` | adjacent | Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/content-engine) |
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `9d2f1ae`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| 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). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/anthropics/skills/tree/9d2f1ae/skills/docx) |
## Source: avelikiy/great_cto
- Repository: [https://github.com/avelikiy/great_cto](https://github.com/avelikiy/great_cto) (commit `4fe1e39`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `well-architected` | adjacent | 6-pillar architecture review framework. Adapted from AWS Well-Architected for use by great_cto's architect agent on every non-nano ARCH document. Forces explicit answers across operational excellence, security, reliability, performance, … | [source](https://github.com/avelikiy/great_cto/tree/4fe1e39/skills/well-architected) |
## 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 |
|---|---|---|---|
| `system-profile` | core | 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) |
| `a1` | adjacent | VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/a1) |
| `a2` | adjacent | VS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/a2) |
## 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 |
|---|---|---|---|
| `crewai` | adjacent | Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/crewai) |
| `code-review-excellence` | adjacent | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
| `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) |
| `doc` | adjacent | Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/document-processing/doc) |
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/document-processing/docx) |
| `docx-official` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/document-processing/docx-official) |
## Source: dotnet/skills
- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-dotnet-performance` | adjacent | Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-diag/skills/analyzing-dotnet-performance) |
## Source: eduardo-sl/go-agent-skills
- Repository: [https://github.com/eduardo-sl/go-agent-skills](https://github.com/eduardo-sl/go-agent-skills) (commit `3c45d7f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `go-troubleshooting` | adjacent | Diagnose runtime problems in Go programs: panics and stack traces, deadlocks, goroutine leaks, memory leaks, OOM kills, race reports, and debugging with delve and pprof. Use when: "debug this panic", "read this stack trace", "deadlock", … | [source](https://github.com/eduardo-sl/go-agent-skills/tree/3c45d7f/skills/(safety)/go-troubleshooting) |
## Source: eigent-ai/eigent
- Repository: [https://github.com/eigent-ai/eigent](https://github.com/eigent-ai/eigent) (commit `c6a97e2`, retrieved 2026-07-14)
- License: Apache-2.0
| 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). Triggers include: any mention of \"Word doc\", \"word document\", \".docx\", or requests to produce professional documents with … | [source](https://github.com/eigent-ai/eigent/tree/c6a97e2/resources/example-skills/docx) |
## Source: fcakyon/claude-codex-settings
- Repository: [https://github.com/fcakyon/claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) (commit `44b7c00`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `doc` | adjacent | Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks. | [source](https://github.com/fcakyon/claude-codex-settings/tree/44b7c00/plugins/openai-office-skills/skills/doc) |
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/fcakyon/claude-codex-settings/tree/44b7c00/plugins/anthropic-office-skills/skills/docx) |
## 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) |
| `doc` | adjacent | Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/doc) |
## Source: googleworkspace/cli
- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `gws-sheets-read` | adjacent | Google Sheets: Read values from a spreadsheet. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/gws-sheets-read) |
| `recipe-create-events-from-sheet` | adjacent | Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-create-events-from-sheet) |
## Source: gooseworks-ai/goose-skills
- Repository: [https://github.com/gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) (commit `94ec916`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `youtube-watcher` | adjacent | Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it. | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/research-tools/capabilities/youtube-watcher) |
## Source: harperreed/dotfiles
- Repository: [https://github.com/harperreed/dotfiles](https://github.com/harperreed/dotfiles) (commit `6b5ced1`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `summarize-meetings` | adjacent | Use when processing, summarizing, or extracting insights from meeting notes in the Obsidian vault. Triggers on "summarize meetings", "process meetings", "meeting summaries", "extract from meetings", "meeting insights". | [source](https://github.com/harperreed/dotfiles/tree/6b5ced1/.claude/skills-archive/summarize-meetings) |
| `swiftui-performance-audit` | adjacent | Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide … | [source](https://github.com/harperreed/dotfiles/tree/6b5ced1/.claude/skills/swiftui-performance-audit) |
## 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 |
|---|---|---|---|
| `slurm-job-script-generator` | adjacent | Generate correct, copy-pasteable SLURM sbatch job scripts and sanity-check HPC resource requests — configure nodes, MPI tasks, OpenMP threads, memory (per-node or per-cpu), GPUs, walltime, partitions, modules, and environment variables, … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/hpc-deployment/slurm-job-script-generator) |
## 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 |
|---|---|---|---|
| `edr-evasion` | adjacent | Use when bypassing EDR/AV to run a payload — hook unhooking, direct/indirect syscalls, PPID spoofing, process injection, AMSI bypass, ETW patching, memory/sleep encryption, behavioral evasion | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/edr-evasion) |
| `engagement-memory` | adjacent | 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) |
## 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) |
| `161-java-profiling-detect` | adjacent | Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/161-java-profiling-detect) |
## 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 |
|---|---|---|---|
| `implementing-database-caching` | core | Process use when you need to implement multi-tier caching to improve database performance. This skill sets up Redis, in-memory caching, and CDN layers to reduce database load. Trigger with phrases like "implement database caching", "add … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/database/database-cache-layer/skills/implementing-database-caching) |
| `apify-performance-tuning` | adjacent | Optimize Apify Actor performance: crawl speed, memory usage, concurrency, and proxy rotation. Use when Actors are slow, consuming too much memory, or being blocked by target sites. Trigger: "apify performance", "optimize apify actor", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/apify-pack/skills/apify-performance-tuning) |
| `triage-display` | adjacent | 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) |
| `cursor-performance-tuning` | adjacent | Optimize Cursor IDE performance: reduce memory usage, speed up indexing, tune AI features, and manage extensions for large codebases. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-performance-tuning) |
| `detecting-memory-leaks` | adjacent | Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memory leaks", "analyze memory … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/memory-leak-detector/skills/detecting-memory-leaks) |
| `detecting-performance-bottlenecks` | adjacent | Execute this skill enables AI assistant to detect and resolve performance bottlenecks in applications. it analyzes cpu, memory, i/o, and database performance to identify areas of concern. use this skill when you need to diagnose slow … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/bottleneck-detector/skills/detecting-performance-bottlenecks) |
## 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 |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/docx) |
## 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 |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/docx) |
## Source: levnikolaevich/claude-code-skills
- Repository: [https://github.com/levnikolaevich/claude-code-skills](https://github.com/levnikolaevich/claude-code-skills) (commit `2922616`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ln-31-performance-optimizer` | adjacent | Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison. | [source](https://github.com/levnikolaevich/claude-code-skills/tree/2922616/plugins/optimization-suite/skills/ln-31-performance-optimizer) |
## 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` | adjacent | 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) |
| `ctf-pwn` | adjacent | Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-pwn) |
## Source: malob/nix-config
- Repository: [https://github.com/malob/nix-config](https://github.com/malob/nix-config) (commit `f2ed178`, retrieved 2026-07-14)
- License: MIT
| 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). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/malob/nix-config/tree/f2ed178/configs/claude/skills/docx) |
## Source: mohitagw15856/pm-claude-skills
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `substack-notes-scraper` | core | Scrapes a Substack Notes page and exports engagement data to a formatted .xlsx file. Use when asked to download, analyse, or export Substack Notes performance data including likes, comments, and restacks. Produces a formatted spreadsheet … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-writers/skills/substack-notes-scraper) |
| `professional-brain` | adjacent | Maintain a durable, local markdown memory ('brain') of your product context, decisions, hypotheses, and stakeholders that other skills read from and write back to. Use when asked to set up a brain, ingest notes/artifacts into memory, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-cross/skills/professional-brain) |
| `async-decision-memo` | adjacent | Run a decision asynchronously — the memo, the silent-read window, the comment protocol, and the deadline that makes it land without a meeting. Use when asked to decide something async, replace a decision meeting with a document, run an … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-operations/skills/async-decision-memo) |
| `briefing-note` | adjacent | Write a one-page briefing note that gets a busy principal up to speed fast. Use when asked to brief a minister/executive/official, prepare a briefing note or read-ahead, or summarize an issue for a decision or meeting. Produces a tight, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-gov/skills/briefing-note) |
| `deck-autopsy` | adjacent | Autopsy a slide deck from photos or screenshots of its slides — the narrative arc, the numbers, and what each slide is hiding. Use when given slide images (a competitor's pitch, a conference talk, your own deck before a big meeting) and … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-vision/skills/deck-autopsy) |
## 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 |
|---|---|---|---|
| `detecting-process-injection-techniques` | adjacent | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
| `detecting-t1003-credential-dumping-with-edr` | adjacent | 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) |
| `detecting-t1055-process-injection-with-sysmon` | adjacent | Detect process injection techniques (T1055) including classic DLL injection, process hollowing, and APC injection by analyzing Sysmon events for cross-process memory operations, remote thread creation, and anomalous DLL loading patterns. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-t1055-process-injection-with-sysmon) |
| `analyzing-memory-forensics-with-lime-and-volatility` | adjacent | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
| `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) |
| `analyzing-heap-spray-exploitation` | adjacent | Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-heap-spray-exploitation) |
| `analyzing-macro-malware-in-office-documents` | adjacent | 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) |
| `detecting-fileless-malware-techniques` | adjacent | Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-fileless-malware-techniques) |
| `detecting-process-hollowing-technique` | adjacent | Detect process hollowing (T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child process anomalies in EDR telemetry. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-hollowing-technique) |
| `extracting-memory-artifacts-with-rekall` | adjacent | Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/extracting-memory-artifacts-with-rekall) |
## 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 |
|---|---|---|---|
| `creative-director` | core | AI creative director with recursive self-assessment: 20+ methodologies (SIT, TRIZ, Bisociation, SCAMPER, Synectics), 3-axis evaluation calibrated against Cannes/D&AD/HumanKind, 5-phase process from brief to presentation. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/creative-director) |
| `doc` | adjacent | Read, create, and edit .docx documents with formatting and layout fidelity via OpenAI's document skill. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/doc) |
## 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 |
|---|---|---|---|
| `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) |
## Source: OthmanAdi/langsmith-fetch-skill
- Repository: [https://github.com/OthmanAdi/langsmith-fetch-skill](https://github.com/OthmanAdi/langsmith-fetch-skill) (commit `1a995f1`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `langsmith-fetch` | adjacent | Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. … | [source](https://github.com/OthmanAdi/langsmith-fetch-skill/tree/1a995f1) |
## Source: pcliangx/AppGenesisForge
- Repository: [https://github.com/pcliangx/AppGenesisForge](https://github.com/pcliangx/AppGenesisForge) (commit `81ea032`, retrieved 2026-07-14)
- License: MIT
| 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). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | [source](https://github.com/pcliangx/AppGenesisForge/tree/81ea032/.claude/skills/docx) |
## 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 |
|---|---|---|---|
| `harness-score` | adjacent | 5-dimension harness readiness scorecard from `metaharness score <path>`. Returns harnessFit / compileConfidence / taskCoverage / toolSafety / memoryUsefulness + estCostPerRunUsd + scaffoldReady. Pure-read; subprocess invocation; degrades … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/plugins/ruflo-metaharness/skills/harness-score) |
| `AgentDB Performance Optimization` | adjacent | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-optimization) |
| `V3 Performance Optimization` | adjacent | Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/v3-performance-optimization) |
## 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 |
|---|---|---|---|
| `harness-score` | adjacent | 5-dimension harness readiness scorecard from `metaharness score <path>`. Returns harnessFit / compileConfidence / taskCoverage / toolSafety / memoryUsefulness + estCostPerRunUsd + scaffoldReady. Pure-read; subprocess invocation; degrades … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/plugins/ruflo-metaharness/skills/harness-score) |
| `AgentDB Performance Optimization` | adjacent | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-optimization) |
| `V3 Performance Optimization` | adjacent | Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-performance-optimization) |
## 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-benchmark` | adjacent | Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-benchmark) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `gmail` | adjacent | Interact with Gmail - search emails, read messages, send emails, create drafts, and manage labels. Use when user asks to: search email, read email, send email, create email draft, mark as read, archive email, star email, or manage Gmail … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/gmail) |
## 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 |
|---|---|---|---|
| `cloudflare-workers-performance` | adjacent | Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/cloudflare-workers/skills/cloudflare-workers-performance) |
## 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 |
|---|---|---|---|
| `pptx-generator` | adjacent | Generate, edit, and read PowerPoint presentations. Create from scratch with PptxGenJS (cover, TOC, content, section divider, summary slides), edit existing PPTX via XML workflows, or extract text with markitdown. Triggers: PPT, PPTX, … | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/pptx-generator) |
| `content-strategy` | adjacent | Content marketing strategy - content audit, editorial calendar, SEO optimization, content funnel (TOFU/MOFU/BOFU), performance metrics, developer content, social media planning | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/content-strategy) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `system-profile` | core | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/skills-codex/system-profile) |
## 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 |
|---|---|---|---|
| `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) |

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# Berufsbild (Deutschland) — KI-Prompter
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 138078,
> KldB 2010: B 43104 · via öffentliche BERUFENET-API,
> abgerufen 2026-07-12. Automatisches Label-Matching
> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
> Original: https://web.arbeitsagentur.de/berufenet/beruf/138078
## Aufgaben und Tätigkeiten kompakt
KI-Prompter und -Promterinnen optimieren das Zusammenspiel zwischen Menschen und englisch: Artificial Intelligence (AI)
Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
" name="Künstliche Intelligenz (KI)">Künstlichen Intelligenzen. Hierfür entwickeln sie gezielte Anweisungen, sogenannte Prompts, um qualitativ hochwertige und hilfreiche Antworten von KI-Systemen zu erhalten. Ziel ist, dass die Antworten möglichst menschenähnlich sind und die Kommunikation besser funktioniert. Zudem tragen KI-Prompter und -Promterinnen dazu bei, dass KI-Systeme in der Contenterstellung bzw. Programmierbare Software für das Erstellen von Texten auf Basis strukturierter Daten. Die zum Großteil KI-basierten Anwendungen werden anhand von Beispieltexten darauf trainiert, selbstständig Texte zu verfassen.
" name="Content Automation">Text-, Anwendungen der generativen künstlichen Intelligenz, die meist auf Grundlage von Text- oder Bildvorgaben Bild- bzw. Videomaterial erzeugen. Fachkräfte in den Bereichen Design und Marketing nutzen die Generatoren, um Entwürfe oder Videoclips zu kreieren oder Ideen für Gestaltungen zu erhalten.
" name="Bild- und Videogeneratoren">Bild- und Videogenerierung effektiv eingesetzt werden können. Darüber hinaus zählen Aufgaben in den Bereichen Kundenservice, Softwaresysteme, die natürlich gesprochene Sprache erkennen und verstehen können. Meist helfen sie bei der Suche nach Informationen oder arbeiten einfache Aufgaben ab. Beispiele sind Alexa (Amazon), Siri (Apple) und Cortana (Microsoft) sowie Google Assistant.
" name="Sprachassistenten">Sprachassistenz sowie Forschung und Entwicklung zu den Tätigkeiten, bei denen KI-gestützte Technologien (z.B. Software-Dialogsysteme, mit denen Menschen per Texteingabe kommunizieren können. Chatbots werden zum Beispiel im Kundenservice eingesetzt, um Anfragen automatisiert und ohne direkten menschlichen Eingriff zu beantworten oder zu bearbeiten. Sie geben vordefinierte Antworten anhand von Schlüsselwörtern in der Anfrage (regelbasiert) oder setzen Sprachmodelle zur Auswertung der Anfragen und Generierung der Antworten ein (KI-basiert).
" name="Chatbots">Chatbots) zum Einsatz kommen.
## Tätigkeitsbezeichnungen
KI-Prompter
Auch übliche Berufsbezeichnungen/SynonymeAI-Prompter
Prompt Engineer
Prompt-Redakteur/in
## Die Tätigkeit im Überblick
KI-Prompter und -Promterinnen verbessern die Interaktion zwischen Menschen und englisch: Artificial Intelligence (AI)
Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
" name="Künstliche Intelligenz (KI)">Künstlichen Intelligenzen, indem sie klare Anweisungen für KI-Systeme erstellen.
## Trends
Künstliche Intelligenz (KI) in Medienhäusern und VerlagenVerlage und Medienhäuser setzen zunehmend KI-basierte Systeme ein. Diese analysieren Texte, erkennen Schlagwörter und prüfen, ob Inhalte verständlich und glaubwürdig sind. Zudem identifizieren sie Personen und Motive auf Bildern und in Videos und ordnen diese entsprechend zu. Fortgeschrittene KI-Systeme erfassen die Bedeutung von Texten und erstellen eigenständig vollständige Beiträge. Mithilfe der KI können Contentanbieter Inhalte gezielt auf unterschiedliche Zielgruppen zuschneiden. Journalistische Angebote lassen sich so gezielter vermarkten. Fach- und Führungskräfte werden den Einsatz dieser neuen Technologien kritisch und mit Verantwortung prüfen.
## Aufgaben und Tätigkeiten im Einzelnen
Prompts für KI-Systeme in der Contenterstellung entwickeln, z.B. in der Programmierbare Software für das Erstellen von Texten auf Basis strukturierter Daten. Die zum Großteil KI-basierten Anwendungen werden anhand von Beispieltexten darauf trainiert, selbstständig Texte zu verfassen.
" name="Content Automation">Text-, Anwendungen der generativen künstlichen Intelligenz, die meist auf Grundlage von Text- oder Bildvorgaben Bild- bzw. Videomaterial erzeugen. Fachkräfte in den Bereichen Design und Marketing nutzen die Generatoren, um Entwürfe oder Videoclips zu kreieren oder Ideen für Gestaltungen zu erhalten.
" name="Bild- und Videogeneratoren">Bild- und Videogenerierung
präzise und klare Anfragen für die englisch: Artificial Intelligence (AI)
Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
" name="Künstliche Intelligenz (KI)">Künstliche Intelligenz formulieren
Sprachstile oder Tonlagen für eine bessere KI-Ausgabe anpassen
Mehrdeutigkeiten oder Unklarheiten in den Anfragen entfernen
relevante Kontextinformationen hinzufügen, um die KI zu unterstützen
Suchbegriffe oder Schlüsselwörter für genauere Ergebnisse optimieren
Aufgaben in den Bereichen Kundenservice, Softwaresysteme, die natürlich gesprochene Sprache erkennen und verstehen können. Meist helfen sie bei der Suche nach Informationen oder arbeiten einfache Aufgaben ab. Beispiele sind Alexa (Amazon), Siri (Apple) und Cortana (Microsoft) sowie Google Assistant.
" name="Sprachassistenten">Sprachassistenz sowie Forschung und Entwicklung übernehmen
## Arbeitsbereiche/Branchen
KI-Prompter und -Promterinnen finden meist Beschäftigung
in Medienunternehmen
in IT-Unternehmen
Sie finden ggf. auch Beschäftigung
in Forschungsinstituten für englisch: Artificial Intelligence (AI)
Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
" name="Künstliche Intelligenz (KI)">Künstliche Intelligenz

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# Occupation profile — prompter
- **ESCO URI:** http://data.europa.eu/esco/occupation/949f1dc9-fb19-4212-8ac6-35ce83c88921
- **ESCO code:** 3435.16
- **ISCO-08 group:** 3435 — Other artistic and cultural associate professionals
## Description (ESCO)
Prompters prompt or cue performers when they forget their lines or neglect to move to the right position on the stage.
## Definition
nan
## Alternative labels
- prompt
- theatre prompter
- souffleur
- opera prompter
- theater prompter

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# Competences — prompter
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/949f1dc9-fb19-4212-8ac6-35ce83c88921).
## Essential
- **adapt to acting roles** (skill/competence)
- **analyse own performance** (skill/competence)
- **analyse theatre texts** (skill/competence)
- **attend read-through** (skill/competence)
- **attend rehearsals** (skill/competence)
- **develop drama production process** (skill/competence)
- **follow directions of the artistic director** (skill/competence)
- **interact with fellow actors** (skill/competence)
- **interpret performance concepts in the creative process** (skill/competence)
- **memorise lines** (skill/competence)
- **memorise script** (skill/competence)
- **read scripts** (skill/competence)
- **rehearse role** (skill/competence)
- **rehearse with fellow actors** (skill/competence)
- **study roles from scripts** (skill/competence)
- **theatre techniques** (knowledge)
- **use declaiming techniques** (skill/competence)
## Optional
- analyse a script (skill/competence)
- breathing techniques (knowledge)
- communicate during show (skill/competence)
- edit scripts (skill/competence)
- lead cast and crew (skill/competence)
- literary theory (knowledge)
- manage prompt book (skill/competence)
- perform live (skill/competence)
- perform stunts (skill/competence)
- pronunciation techniques (knowledge)
- show professional responsibility (skill/competence)
- study relationships between characters (skill/competence)
- work in an international environment (skill/competence)
- work with a voice coach (skill/competence)
- work with an artistic team (skill/competence)

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# Tasks & work activities — prompter
Source: O*NET 30.3, occupation 27-4015.00 (Lighting Technicians) — manual nearest-occupation mapping via ISCO group 3435; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[nan]** Assess safety of wiring or equipment set-up to determine the risk of fire or electrical shock.
- **[nan]** Consult with lighting director or production staff to determine lighting requirements.
- **[nan]** Disassemble and store equipment after performances.
- **[nan]** Install color effects or image patterns, such as color filters, onto lighting fixtures.
- **[nan]** Install electrical cables or wire fixtures.
- **[nan]** Load, unload, or position lighting equipment.
- **[nan]** Match light fixture settings, such as brightness and color, to lighting design plans.
- **[nan]** Notify supervisors when major lighting equipment repairs are needed.
- **[nan]** Operate manual or automated systems to control lighting throughout productions.
- **[nan]** Patch or wire lights to dimmers or other electronic consoles.
- **[nan]** Perform minor repairs or routine maintenance on lighting equipment, such as replacing lamps or damaged color filters.
- **[nan]** Program lighting consoles or load automated lighting control systems onto consoles.
- **[nan]** Set up and focus light fixtures to meet requirements of television, theater, concerts, or other productions.
- **[nan]** Set up scaffolding or cranes to assist with setting up of lighting equipment.
- **[nan]** Test lighting equipment function and desired lighting effects.
- **[nan]** Visit and assess structural and electrical layout of locations before setting up lighting equipment.
## Detailed work activities
- Attach equipment extensions or accessories.
- Calibrate equipment to specifications.
- Collaborate with others to determine design specifications or details.
- Disassemble equipment for maintenance or repair.
- Gather information about work conditions or locations.
- Inspect equipment to ensure safety or proper functioning.
- Install computer hardware.
- Install electrical components, equipment, or systems.
- Load materials or equipment.
- Notify others of equipment problems.
- Operate control consoles for sound, lighting or video.
- Position safety or support equipment.
- Program equipment to perform production tasks.
- Repair electrical equipment.
- Run wiring to connect equipment.
- Set up material handling gear or equipment, such as rigging, packaging, or temporary structures.
- Set up still or video cameras or related equipment.
- Test performance of electrical, electronic, mechanical, or integrated systems or equipment.
- Unload materials or equipment.

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# Tools & technology — prompter
Source: O*NET 30.3, occupation 27-4015.00 (Lighting Technicians) — manual nearest-occupation mapping via ISCO group 3435; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Autodesk AutoCAD | Computer aided design CAD 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 |
| FileMaker Pro | Data base user interface and query software | |
| Microsoft Internet Explorer | Internet browser software | |
| Programmable logic controller PLC software | Industrial control software | |
| Rockwell RSLogix | Program testing software | |
| SAP Maintenance | Enterprise resource planning ERP software | |