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feat: professional-athlete skill package v0.1.0

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# Data provenance — professional-athlete
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 — professional-athlete
"ESCO (occupation & competences)" : 16
"O*NET (tasks & tools)" : 29
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 189
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 16 | 6.7 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 29 | 12.1 % | 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 | 5 | 2.1 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 189 | 79.1 % | 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: professional-athlete
description: "Occupational skill for the role 'professional athlete' (also: cyclist, handball player, skater, race car driver, discus athlete, middle distance athlete). Use when the user asks for typical professional athlete work such as: Attend scheduled practice or training sessions.; Participate in athletic events or competitive sports, according to established rules and regulations.; Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions."
---
# Professional Athlete
Professional athletes compete in sports and athletic events. They train on a regular basis and exercise with professional coaches and trainers.
## Core workflow
1. Attend scheduled practice or training sessions.
2. Participate in athletic events or competitive sports, according to established rules and regulations.
3. Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions.
4. Maintain equipment used in a particular sport.
5. Maintain optimum physical fitness levels by training regularly, following nutrition plans, or consulting with health professionals.
6. Assess performance following athletic competition, identifying strengths and weaknesses and making adjustments to improve future performance.
7. Represent teams or professional sports clubs, performing such activities as meeting with members of the media, making speeches, or participating in charity events.
8. Lead teams by serving as captain.
## 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 lifestyle for sports performance
- apply sport games rules
- assess performance in sport events
- develop strong attitudes in sports
- implement relevant tactical skills to perform at the highest level in sport
- implement relevant technical skills to perform at the highest level in sport
- manage sporting career
- participate in sport events
- participate in training sessions
- work to develop physical ability to perform at the highest level in sport
## Hot technologies
- Oracle PeopleSoft
- Adobe Photoshop
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Excel
- Facebook
- Microsoft Word
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/082c234c-0dda-490a-b5af-757c3e48da90), O*NET 30.3 (27-2021.00). See manifest.json for licensing/attribution.*

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{
"name": "professional-athlete",
"title": "professional athlete",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/082c234c-0dda-490a-b5af-757c3e48da90",
"esco_code": "3421.1",
"isco_group": "3421",
"onet_soc": "27-2021.00",
"crosswalk_match": "exactMatch"
},
"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": 9,
"dwas": 7,
"skills_essential": 10,
"skills_optional": 5,
"software": 12
},
"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
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 2
},
"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": 3
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 3
},
"more-io/claude-apple-bridges": {
"repo": "https://github.com/more-io/claude-apple-bridges",
"commit": "8e9890f",
"license": "MIT",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 4
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"nowork-studio/NotFair": {
"repo": "https://github.com/nowork-studio/NotFair",
"commit": "99bda4b",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 6
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 2
},
"googleworkspace/cli": {
"repo": "https://github.com/googleworkspace/cli",
"commit": "a3768d0",
"license": "Apache-2.0",
"skills": 4
},
"jungjaehoon-lifegamez/MAMA": {
"repo": "https://github.com/jungjaehoon-lifegamez/MAMA",
"commit": "e85b5eb",
"license": "MIT",
"skills": 1
},
"parcadei/Continuous-Claude-v3": {
"repo": "https://github.com/parcadei/Continuous-Claude-v3",
"commit": "d07ff4b",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 4
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 2
},
"indranilbanerjee/digital-marketing-pro": {
"repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
"commit": "a3d119c",
"license": "MIT",
"skills": 2
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 2
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 4
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 4
},
"nanocoai/nanoclaw": {
"repo": "https://github.com/nanocoai/nanoclaw",
"commit": "da9a74f",
"license": "MIT",
"skills": 1
},
"microsoft/power-platform-skills": {
"repo": "https://github.com/microsoft/power-platform-skills",
"commit": "0d7ed9a",
"license": "MIT",
"skills": 1
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 2
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 1
},
"honeydew-ai/honeydew-ai-coding-agents-plugins": {
"repo": "https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins",
"commit": "f4066d2",
"license": "Apache-2.0",
"skills": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"Chachamaru127/claude-code-harness": {
"repo": "https://github.com/Chachamaru127/claude-code-harness",
"commit": "9851b1a",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"redis/agent-skills": {
"repo": "https://github.com/redis/agent-skills",
"commit": "23e10ae",
"license": "MIT",
"skills": 1
},
"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
},
"thedotmack/claude-mem": {
"repo": "https://github.com/thedotmack/claude-mem",
"commit": "f5633c1",
"license": "Apache-2.0",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"oliver-kriska/claude-elixir-phoenix": {
"repo": "https://github.com/oliver-kriska/claude-elixir-phoenix",
"commit": "d6b21b5",
"license": "MIT",
"skills": 1
},
"qdrant/skills": {
"repo": "https://github.com/qdrant/skills",
"commit": "2a06cb1",
"license": "Apache-2.0",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 0,
"adjacent": 80
}
},
"provenance": {
"items": {
"esco": 16,
"onet": 29,
"jobads": 0,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 189,
"stackx": 0
},
"share_percent": {
"esco": 6.7,
"onet": 12.1,
"jobads": 0.0,
"wiki_ai": 0.0,
"anthropic": 2.1,
"ai_skills": 79.1,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — professional-athlete
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 |
|---|---|---|---|
| `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) |
| `vulkan-compute` | adjacent | Vulkan compute shader development and pipeline configuration. Generate GLSL/HLSL compute shaders, compile to SPIR-V, configure compute pipelines, manage descriptor sets and resource bindings, implement memory barriers and synchronization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/vulkan-compute) |
| `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) |
| `inference-performance-testing` | adjacent | Benchmark and optimize ML model inference — latency, throughput, memory usage, and hardware-specific performance profiling. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/inference-performance-testing) |
| `mem0-integration` | adjacent | Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/ai-agents-conversational/skills/mem0-integration) |
| `performance-profiler` | adjacent | Profile application performance including CPU, memory, and flame graph generation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/software-architecture/skills/performance-profiler) |
## 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 |
|---|---|---|---|
| `social-media-manager` | adjacent | When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/marketing-skill/skills/social-media-manager) |
| `performance-profiler` | adjacent | Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering/skills/performance-profiler) |
## 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-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) |
## Source: Chachamaru127/claude-code-harness
- Repository: [https://github.com/Chachamaru127/claude-code-harness](https://github.com/Chachamaru127/claude-code-harness) (commit `9851b1a`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `harness-plan-brief` | adjacent | Generate a Plan Brief HTML for non-engineer vibecoders before implementation starts. Searches harness-mem (project-only) for relevant past decisions, patterns, and Plans archive entries, then renders a single-file HTML artifact summarizing … | [source](https://github.com/Chachamaru127/claude-code-harness/tree/9851b1a/codex/.codex/skills/harness-plan-brief) |
## 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 |
|---|---|---|---|
| `brief` | adjacent | Session-start briefing from Origin. Reads the project status file (the /handoff-maintained ledger of Active/Backlog work), then loads identity, preferences, and topic-relevant memories so the agent walks in with context. Surfaces any … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/origin/skills/brief) |
| `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) |
| `outlook-calendar-automation` | adjacent | Automate Outlook Calendar tasks via Rube MCP (Composio): create events, manage attendees, find meeting times, and handle invitations. Always search tools first for current schemas. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/outlook-calendar-automation) |
| `googlesheets-automation` | adjacent | Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/googlesheets-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 |
|---|---|---|---|
| `Excel Analysis` | adjacent | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
| `gh-fix-ci` | adjacent | Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/gh-fix-ci) |
| `railway-metrics` | adjacent | Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow". | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/railway/metrics) |
## 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: 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) |
| `gh-fix-ci` | adjacent | Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/gh-fix-ci) |
## 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-calendar` | adjacent | Google Calendar: Manage calendars and events. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/gws-calendar) |
| `gws-calendar-agenda` | adjacent | Google Calendar: Show upcoming events across all calendars. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/gws-calendar-agenda) |
| `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) |
| `recipe-plan-weekly-schedule` | adjacent | Review your Google Calendar week, identify gaps, and add events to fill them. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-plan-weekly-schedule) |
## 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: honeydew-ai/honeydew-ai-coding-agents-plugins
- Repository: [https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins](https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins) (commit `f4066d2`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `context-item-creation` | adjacent | Guides you through creating context items — instructions, skills, knowledge pointers, and memory events — that give the AI analyst persistent knowledge about your organization. Covers when to create each type, naming conventions, folder … | [source](https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins/tree/f4066d2/skills/context-item-creation) |
## Source: indranilbanerjee/digital-marketing-pro
- Repository: [https://github.com/indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro) (commit `a3d119c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `sync-memory` | adjacent | Batch sync session learnings to memory. Use when: persisting campaign insights and performance history across sessions. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/sync-memory) |
| `qbr-plan` | adjacent | Prepare a Quarterly Business Review. Use when: building QBR presentations, client performance reviews, or strategy updates. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/qbr-plan) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `millers-law` | adjacent | Apply Miller's Law — chunk information into groups of ~4 to work within working memory limits. | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/millers-law) |
## 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` | adjacent | 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) |
| `castai-core-workflow-b` | adjacent | Configure CAST AI Workload Autoscaler for pod-level right-sizing and VPA. Use when enabling workload autoscaling, configuring resource recommendations, or tuning pod CPU and memory requests with CAST AI. Trigger with phrases like "cast ai … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/castai-pack/skills/castai-core-workflow-b) |
| `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) |
| `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) |
| `calendar-to-workflow` | adjacent | Converts calendar events and schedules into Claude Code workflows, meeting prep documents, and standup notes. Use when the user mentions calendar events, meeting prep, standup generation, or scheduling workflows. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/skill-enhancers/calendar-to-workflow/skills/calendar-to-workflow) |
| `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) |
| `elevenlabs-core-workflow-b` | adjacent | Implement ElevenLabs speech-to-speech, sound effects, audio isolation, and speech-to-text. Use when converting voice to another voice, generating sound effects from text, removing background noise, or transcribing audio. Trigger: … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/elevenlabs-pack/skills/elevenlabs-core-workflow-b) |
| `executive-digest` | adjacent | Generate the daily executive digest \u2014 a single WhatsApp summary\ \ of everything needing attention: stalled scheduling, pending intros, unanswered\ \ emails, promised follow-ups, open Todoist tasks, and upcoming calendar events.\ \ … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/executive-assistant-skills/skills/executive-digest) |
| `memory-profiler-setup` | adjacent | Configure memory profiler setup operations. Auto-activating skill for Performance Testing. Triggers on: memory profiler setup, memory profiler setup Part of the Performance Testing skill category. Use when working with memory profiler … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/10-performance-testing/memory-profiler-setup) |
| `obsidian-performance-tuning` | adjacent | Optimize Obsidian plugin performance for smooth operation in large vaults. Use when experiencing lag, memory issues, slow startup, or optimizing plugin code for vaults with thousands of files. Trigger with phrases like "obsidian … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/obsidian-pack/skills/obsidian-performance-tuning) |
| `profiling-application-performance` | adjacent | Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/application-profiler/skills/profiling-application-performance) |
## Source: jungjaehoon-lifegamez/MAMA
- Repository: [https://github.com/jungjaehoon-lifegamez/MAMA](https://github.com/jungjaehoon-lifegamez/MAMA) (commit `e85b5eb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `mama-context` | adjacent | Always-on background context injection from MAMA memory. Automatically surfaces relevant decisions when you work on code, without explicit invocation. | [source](https://github.com/jungjaehoon-lifegamez/MAMA/tree/e85b5eb/packages/claude-code-plugin/skills/mama-context) |
## 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-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: microsoft/power-platform-skills
- Repository: [https://github.com/microsoft/power-platform-skills](https://github.com/microsoft/power-platform-skills) (commit `0d7ed9a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `add-office365` | adjacent | Adds Office 365 Outlook connector to a Power Apps code app. Use when accessing calendars, sending emails, reading inbox, or managing Outlook events. | [source](https://github.com/microsoft/power-platform-skills/tree/0d7ed9a/plugins/code-apps/skills/add-office365) |
## 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 |
|---|---|---|---|
| `chart-data-extractor` | adjacent | Extract pixel-level data from an image of a chart or graph and produce a structured data table. Use when asked to extract data from a chart image, transcribe numbers from a graph, digitise a chart, or turn a screenshot of data into a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-data/skills/chart-data-extractor) |
## Source: more-io/claude-apple-bridges
- Repository: [https://github.com/more-io/claude-apple-bridges](https://github.com/more-io/claude-apple-bridges) (commit `8e9890f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `apple-bridges` | adjacent | Use this skill whenever the user asks about Apple apps — Reminders, Calendar, Contacts, Notes, Mail, or tmux sessions. This includes creating/completing reminders, checking/adding calendar events, looking up contacts, reading/writing … | [source](https://github.com/more-io/claude-apple-bridges/tree/8e9890f/skills/apple-bridges) |
## 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-linux-kernel-rootkits` | adjacent | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
| `performing-fuzzing-with-aflplusplus` | adjacent | Perform coverage-guided fuzzing of compiled binaries using AFL++ (American Fuzzy Lop Plus Plus) to discover memory corruption, crashes, and security vulnerabilities. The tester instruments target binaries with afl-cc/afl-clang-fast, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-fuzzing-with-aflplusplus) |
| `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) |
## Source: nanocoai/nanoclaw
- Repository: [https://github.com/nanocoai/nanoclaw](https://github.com/nanocoai/nanoclaw) (commit `da9a74f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `add-gcal-tool` | adjacent | Add Google Calendar as an MCP tool (list calendars, list/search/create events, free/busy queries) using OneCLI-managed OAuth. Multi-calendar and multi-account supported. Mirrors /add-gmail-tool's stub pattern — no raw credentials ever … | [source](https://github.com/nanocoai/nanoclaw/tree/da9a74f/.claude/skills/add-gcal-tool) |
## Source: nowork-studio/NotFair
- Repository: [https://github.com/nowork-studio/NotFair](https://github.com/nowork-studio/NotFair) (commit `99bda4b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `content-planner` | adjacent | GSC-driven content calendar. Pulls real Search Console data, finds the highest click-potential opportunities (striking-distance queries at positions 5-20, unanswered query intent, related-keyword expansions), and produces a dated, … | [source](https://github.com/nowork-studio/NotFair/tree/99bda4b/seo/content-planner) |
## Source: oliver-kriska/claude-elixir-phoenix
- Repository: [https://github.com/oliver-kriska/claude-elixir-phoenix](https://github.com/oliver-kriska/claude-elixir-phoenix) (commit `d6b21b5`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `phx:perf` | adjacent | Analyze Elixir/Phoenix performance — N+1 queries, assign bloat, ecto optimization, genserver bottlenecks. Use when slowness, timeouts, or high memory reported. | [source](https://github.com/oliver-kriska/claude-elixir-phoenix/tree/d6b21b5/plugins/elixir-phoenix/skills/perf) |
## 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: parcadei/Continuous-Claude-v3
- Repository: [https://github.com/parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (commit `d07ff4b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `recall` | adjacent | Query the memory system for relevant learnings from past sessions | [source](https://github.com/parcadei/Continuous-Claude-v3/tree/d07ff4b/.claude/skills/recall) |
## 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-performance-optimization` | adjacent | Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active … | [source](https://github.com/qdrant/skills/tree/2a06cb1/skills/qdrant-performance-optimization) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `content-strategy` | adjacent | Develop a content strategy covering editorial positioning, content pillars, formats, calendar, governance, and topical authority planning. Use this skill whenever the user wants to plan a content program, define content pillars, build an … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/content-strategy) |
## Source: redis/agent-skills
- Repository: [https://github.com/redis/agent-skills](https://github.com/redis/agent-skills) (commit `23e10ae`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `iris-development` | adjacent | Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, … | [source](https://github.com/redis/agent-skills/tree/23e10ae/skills/iris-development) |
## Source: ruvnet/claude-code-flow
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `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) |
| `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) |
| `ReasoningBank with AgentDB` | adjacent | Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/reasoningbank-agentdb) |
| `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 |
|---|---|---|---|
| `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) |
| `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) |
| `ReasoningBank with AgentDB` | adjacent | Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/reasoningbank-agentdb) |
| `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-performance` | adjacent | Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-performance) |
| `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 |
|---|---|---|---|
| `google-calendar` | adjacent | Interact with Google Calendar - list calendars, view events, create/update/delete events, and find free time. Use when user asks to: check calendar, schedule a meeting, create an event, find available time, list upcoming events, delete or … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/google-calendar) |
## 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) |
| `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: thedotmack/claude-mem
- Repository: [https://github.com/thedotmack/claude-mem](https://github.com/thedotmack/claude-mem) (commit `f5633c1`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `mem-search` | adjacent | Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions. | [source](https://github.com/thedotmack/claude-mem/tree/f5633c1/plugin/skills/mem-search) |
## 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 |
|---|---|---|---|
| `recall` | adjacent | Query the memory system for relevant learnings from past sessions using semantic search. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/recall) |
| `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) |
| `harvest-adaptive` | adjacent | Adaptive content summarization - auto-detect content type and produce relevant summary | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/harvest-adaptive) |
| `performance-testing` | adjacent | Load testing with k6/Artillery, response time thresholds, memory leak detection, N+1 query detection, and CI integration. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/performance-testing) |

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# Berufsbild (Deutschland) — Berufssportler/in
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 8628,
> KldB 2010: B 94243 · 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/8628
## Aufgaben und Tätigkeiten kompakt
Berufssportler und Berufssportlerinnen arbeiten gezielt auf die Teilnahme an Wettkämpfen in ihrer jeweiligen Disziplin hin. Sie trainieren dazu meist täglich. Sie planen und absolvieren ihre Trainingseinheiten meist mit der Unterstützung von Trainern und Trainerinnen. Im Wettkampf oder Spiel versuchen sie, umzusetzen, was sie im Training erarbeitet haben. Sie analysieren ihre Leistungen, stellen fest, wo Optimierungsbedarf besteht, und passen ihr Training entsprechend an.
## Tätigkeitsbezeichnungen
Berufssportler/in
Berufsbezeichnung in englischer SpracheProfessional athlete (m/f)
Berufsbezeichnung in französischer SpracheSportif professionel/Sportive professionelle
## Die Tätigkeit im Überblick
Berufssportler und Berufssportlerinnen verdienen ihren Lebensunterhalt mit sportlicher Tätigkeit.
## Trends
Digitalisierung und Künstliche Intelligenz (KI) im SportDie digitale Transformation verändert den Sport - insbesondere den Fußball. Fans erhalten in Echtzeit personalisierte Informationen rund um ein Spiel. 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 (KI) und Auch: Maschinelles Lernen, Deep Learning
Bestandteil künstlicher Intelligenz und Oberbegriff für alle Verfahren, die es Maschinen beziehungsweise Computerprogrammen ermöglichen, Wissen aus Erfahrung zu generieren, also zu lernen.
Eine Sonderform des Machine Learning ist das Deep Learning. Es eignet sich für alle Anwendungen, bei denen große Datenbestände zur Verfügung stehen, aus denen sich Muster und Modelle ableiten lassen. Als technische Grundlage des Deep Learning dienen künstliche neuronale Netze, die während des Lernvorgangs immer wieder neu verknüpft werden.
" name="Machine Learning (ML)">Machine Learning sagen künftig z.B. Torchancen voraus und ermitteln passende Spieler bzw. Spielerinnen für bestimmte Teams. Digitale Technologien tragen zudem zur Stärkung der Fanbindung bei: Wer positive digitale Erlebnisse macht, besucht häufiger Spiele im Stadion, nutzt vermehrt Live-Streams und investiert mehr in Fanartikel. Beschäftigte im Sportbereich werden sich verstärkt mit den Einsatzmöglichkeiten und Potenzialen digitaler Technologien auseinandersetzen.
## Aufgaben und Tätigkeiten im Einzelnen
Training absolvieren, Wettkämpfe vorbereiten und absolvieren
Trainingseinheiten mit Trainern/Trainerinnen oder selbstständig entwickeln
je nach Sportart Ausdauer, Kraft, Geschicklichkeit und Beweglichkeit trainieren
mentales Training absolvieren
Wettkampfstrategien bzw. Spieltaktiken erarbeiten
an Wettkämpfen teilnehmen
nach Wettkämpfen die eigenen Leistungen analysieren, Verbesserungsbedarf feststellen und das Training anpassen
Aufgaben in der Öffentlichkeits- und Sponsorenarbeit wahrnehmen
Werbeverträge erfüllen, z.B. Fotoshootings, Werbeaufnahmen und Promotion-Auftritte absolvieren
Öffentlichkeitsarbeit leisten, z.B. Interviews geben, Sportereignisse kommentieren, persönlichen Account in sozialen Medien pflegen
## Arbeitsbereiche/Branchen
Berufssportler und Berufssportlerinnen finden Beschäftigung in Sportvereinen und -verbänden oder auch in Rennställen.

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# Occupation profile — professional athlete
- **ESCO URI:** http://data.europa.eu/esco/occupation/082c234c-0dda-490a-b5af-757c3e48da90
- **ESCO code:** 3421.1
- **ISCO-08 group:** 3421 — Athletes and sports players
- **O*NET-SOC:** 27-2021.00 — Athletes and Sports Competitors (match: exactMatch)
## Description (ESCO)
Professional athletes compete in sports and athletic events. They train on a regular basis and exercise with professional coaches and trainers.
## Definition
nan
## Alternative labels
- cyclist
- handball player
- skater
- race car driver
- discus athlete
- middle distance athlete
- track and field athlete
- sports player
- long distance athlete
- high jump athlete
- basketball player
- rugby player
- sportswoman
- hockey player
- professional rugby player
- professional surfer athlete
- wrestler
- aviation sport athlete
- professional volleyball player
- professional baseball player
- professional sports player
- roller skater
- olympic athlete
- golf player
- horse rider
- snowboarder
- sportsman
- motorcycle driver
- professional basketball player
- pole vault athlete
- long distance runner
- tennis player
- javelin athlete
- snow sports athlete
- volleyball player
- athlete
- professional hockey player
- bull fighter
- long jump athlete
- middle distance runner
- skier
- professional soccer player
- professional football player
- professional handball player
- boxer
- football player

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# Competences — professional athlete
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/082c234c-0dda-490a-b5af-757c3e48da90).
## Essential
- **adapt lifestyle for sports performance** (skill/competence)
- **apply sport games rules** (skill/competence)
- **assess performance in sport events** (skill/competence)
- **develop strong attitudes in sports** (skill/competence)
- **implement relevant tactical skills to perform at the highest level in sport** (skill/competence)
- **implement relevant technical skills to perform at the highest level in sport** (skill/competence)
- **manage sporting career** (skill/competence)
- **participate in sport events** (skill/competence)
- **participate in training sessions** (skill/competence)
- **work to develop physical ability to perform at the highest level in sport** (skill/competence)
## Optional
- badminton (knowledge)
- communicate with media (skill/competence)
- contribute to the development of a sporting estate (skill/competence)
- manage personal finances (skill/competence)
- set up effective working relationships with other sports players (skill/competence)

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# Tasks & work activities — professional athlete
Source: O*NET 30.3, occupation 27-2021.00 (Athletes and Sports Competitors).
## Task statements
- **[Core]** Attend scheduled practice or training sessions.
- **[Core]** Participate in athletic events or competitive sports, according to established rules and regulations.
- **[Core]** Exercise or practice under the direction of athletic trainers or professional coaches to develop skills, improve physical condition, or prepare for competitions.
- **[Core]** Maintain equipment used in a particular sport.
- **[Core]** Maintain optimum physical fitness levels by training regularly, following nutrition plans, or consulting with health professionals.
- **[Core]** Assess performance following athletic competition, identifying strengths and weaknesses and making adjustments to improve future performance.
- **[Core]** Represent teams or professional sports clubs, performing such activities as meeting with members of the media, making speeches, or participating in charity events.
- **[Core]** Lead teams by serving as captain.
- **[Core]** Receive instructions from coaches or other sports staff prior to events and discuss performance afterwards.
## Detailed work activities
- Coach others.
- Evaluate skills of athletes or performers.
- Maintain equipment or systems to ensure proper functioning.
- Participate in athletic events.
- Perform manual service or maintenance tasks.
- Practice athletic or artistic skills.
- Promote products, activities, or organizations.

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# Tools & technology — professional athlete
Source: O*NET 30.3 'Software Skills' for 27-2021.00.
| Software | Category | Hot technology |
|---|---|---|
| Oracle PeopleSoft | Enterprise resource planning ERP software | yes |
| Adobe Photoshop | Graphics or photo imaging software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Facebook | Web page creation and editing software | yes |
| Microsoft Word | Word processing software | yes |
| Motion analysis software | Analytical or scientific software | |
| Email software | Electronic mail software | |
| Twitter | Instant messaging software | |
| Web browser software | Internet browser software | |
| YouTube | Video creation and editing software | |