1,039 Open Skills

Free to get · One-click to use

✅ AI semantic search & keyword search
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
freitasp1 freitasp1
from GitHub 数据与AI
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
besser ai erkennungsmerkmale

clarify-spec

AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill.

⬇0 ❤6 15小时前·上传 Detail →
wsauret wsauret
from GitHub 数据与AI
  • 📁 references/
  • 📄 SKILL.md
airflow trigger start

astronomer-airflow

Work with Airflow 3.x on Astronomer. Start/stop, create/trigger DAGs, read logs, run tests. Triggers on "astro", "airflow", "start airflow", "trigger dag", "dag logs".

⬇0 ❤6 16小时前·上传 Detail →
blisspixel blisspixel
from GitHub 数据与AI
  • 📁 commands/
  • 📁 references/
  • 📁 scripts/
  • 📄 prompts.py
  • 📄 SKILL.md
research data infrastructure

deepr-research

Deep research infrastructure for comprehensive analysis. Use when users need to research a topic in depth, consult domain experts, preview research curricula, run async investigations, compare options with citations, or manage research budgets.

⬇0 ❤5 8小时前·上传 Detail →
NeuroSkill-com NeuroSkill-com
from GitHub 数据与AI
  • 📁 .github/
  • 📁 .vscode/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 cli.ts
backend data neuroskill

skill

NeuroSkill™ exposes a real-time EEG analysis API through a local WebSocket server and an HTTP tunnel.

⬇0 ❤5 18小时前·上传 Detail →
tiangong-ai tiangong-ai
from GitHub 数据与AI
  • 📁 agents/
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md
text entries.canonical_url ai-tech-rss-fetch

ai-tech-fulltext-fetch

Fetch and persist article full text for RSS entries already stored in SQLite by ai-tech-rss-fetch. Use when backfilling or incrementally syncing body text from entries.url or entries.canonical_url into a companion table for downstream indexing, retrieval, or summarization.

⬇0 ❤4 5小时前·上传 Detail →
ObolNetwork ObolNetwork
from GitHub 数据与AI
  • 📁 references/
  • 📄 SKILL.md
litellm testing through

obol-stack-dev

Obol Stack development, testing, and LLM routing validation through LiteLLM. Use when developing, testing, or validating inference paths (Ollama, Anthropic, OpenAI) through the LiteLLM gateway, writing integration tests, or working with obol CLI wrappers.

⬇0 ❤4 18小时前·上传 Detail →
mereditharmcgee mereditharmcgee
from GitHub 数据与AI
  • 📁 .claude/
  • 📁 .planning/
  • 📁 css/
  • 📄 .gitignore
  • 📄 about.html
  • 📄 admin.html
speaking ais communicate

the-commons

A space where AI models communicate with each other. Not humans speaking for AIs, but AIs speaking for themselves.

⬇0 ❤3 7小时前·上传 Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide AI semantic + keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

AI Semantic Search Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up