2,210 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
tsingyuai tsingyuai
from GitHub Research & Analysis
  • 📁 references/
  • 📄 SKILL.md
research papers ideas

idea-generation

Use this when the user wants research ideas, innovation points, or to find research gaps (找研究方向, 生成创新点). Generates 5 ideas from collected papers, identifies gaps, proposes novel methods with citations. Requires papers in workspace.

⬇0 ❤50 2天前 · 上传 Detail →
navikt navikt
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation coding research

ai-news-research

Research and write monthly AI coding news summaries in Norwegian with working source links. Use when asked to write news, summarize AI coding trends, create a monthly update, or research what's new in GitHub Copilot, coding agents, AGENTS.md, skills, memory, agentic workflows, or developer experience.

⬇0 ❤17 7小时前 · 上传 Detail →
sepivip sepivip
from GitHub Research & Analysis
  • 📄 SKILL.md
research wants save

bookmark

Save and organize links for later reading. Use when: user wants to save a URL, manage bookmarks, find a saved link. Don't use when: user just wants to read/fetch a URL (use web_fetch) or research a topic (use research skill).

⬇0 ❤28 2天前 · 上传 Detail →
parmartejass parmartejass
from GitHub 数据与AI
  • 📁 scripts/
  • 📄 README.md
  • 📄 SETUP.md
  • 📄 SKILL.md
data research search

Nia

Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, and packages with Nia AI. Includes Oracle autonomous research, GitHub live search, dependency analysis, context sharing, and code advisor.

⬇0 ❤17 19小时前 · 上传 Detail →
datahub-project datahub-project
from GitHub Content & Multimedia
  • 📁 references/
  • 📁 templates/
  • 📄 README.md
  • 📄 SKILL.md
  • 📄 standards
connector research datahub

datahub-connector-planning

Use this skill when the user wants to plan a new DataHub connector, research a source system for connector development, create a connector planning document, or design a connector architecture. Triggers on: "plan a connector", "new connector for X", "research X for DataHub", "design connector for X", "create planning doc", or any request to plan/research/design a DataHub ingestion source.

⬇0 ❤10 2天前 · 上传 Detail →
William-1995 William-1995
from GitHub 数据与AI
  • 📁 scripts/
  • 📄 constants.py
  • 📄 SKILL.md
structured research report

deep-research

Deep research on a topic. Decomposes question into sub-questions, searches and fetches web sources in parallel, synthesizes a structured report with inline citations and a source list. Use when user asks for in-depth research, comprehensive analysis, or a structured report.

⬇0 ❤3 5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