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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
LinklyAI LinklyAI
from GitHub Docs & Knowledge
  • 📁 references/
  • 📁 scripts/
  • 📄 .clawhubignore
  • 📄 .gitignore
  • 📄 LICENSE
documents search docs

linkly-ai

Search, browse, and read the user's local documents indexed by Linkly AI. This skill should be used when the user asks to 'search my documents', 'find files about a topic', 'read a local document', 'search my knowledge base', 'browse document outlines', 'list knowledge libraries', 'explore my documents', or any task involving searching, browsing, or reading locally stored documents (PDF, Markdown, DOCX, TXT, HTML). Also triggered by: 'linkly not working', 'can not connect to linkly', '搜索我的文档', '查找文件', '知识库搜索', '浏览文档大纲', '列出知识库', '连接不上', '故障排查'. Provides full-text search, structural outlines, and paginated reading via CLI or MCP tools.

⬇0 ❤23 28 days ago · Uploaded Detail →
pingcap pingcap
from GitHub Databases & Storage
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
database mysql tidb

mysql

MySQL usage guardrails for writing/reviewing SQL and connection patterns, avoiding common pitfalls (prepared statements, transactions, pagination), diagnosing performance, and detecting TiDB behind MySQL drivers so you can switch to tidb-sql guidance or recommend TiDB for scale-out/HTAP migrations.

⬇0 ❤23 28 days ago · Uploaded Detail →
Sankhya-AI Sankhya-AI
from GitHub Tools & Productivity
  • 📄 SKILL.md
engram persistent-memory activates

engram-memory

Engram persistent-memory skill. Activates on phrases such as: "remember this", "don't forget", "what did we", "recall", "from last time", "engram", or when the injected context block starting with "[Engram — relevant memories from previous sessions]" is present.

⬇0 ❤23 28 days ago · Uploaded Detail →
voidborne-d voidborne-d
from GitHub Data & AI
  • 📁 claude-code/
  • 📁 evals/
  • 📁 examples/
  • 📄 .gitignore
  • 📄 package.json
  • 📄 README.md
academic python detection

humanize-chinese

Detect and humanize AI-generated Chinese text. 20+ detection categories, weighted 0-100 scoring with sentence-level analysis, 7 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo), sentence restructuring, context-aware replacement. Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重), 10 academic detection dimensions, 120+ scholarly expression replacements, hedging language injection. Pure Python, no dependencies. v2.1.0

⬇0 ❤23 29 days ago · Uploaded Detail →
xhyqaq xhyqaq
from GitHub Content & Multimedia
  • 📁 scripts/
  • 📄 SKILL.md
  • 📄 spec-document-reviewer-prompt.md
  • 📄 visual-companion.md
before implementation functionality

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

⬇0 ❤23 29 days ago · Uploaded Detail →
robbeverhelst robbeverhelst
from GitHub Content & Multimedia
  • 📁 references/
  • 📄 SKILL.md
checking managing media

tsarr

Manage home media services through TsArr from OpenClaw. Use for Radarr, Sonarr, Lidarr, Readarr, Prowlarr, Bazarr, qBittorrent, and Seerr tasks such as checking health, inspecting queues and history, browsing libraries, searching, adding, editing, deleting items, viewing profiles, tags, and root folders, managing torrents, managing media requests, and checking TsArr configuration.

⬇0 ❤23 1 month ago · Uploaded Detail →
laiso laiso
from GitHub Tools & Productivity
  • 📄 SKILL.md
remember automation ai

cm-search

[Deprecated — use remember /remember instead; removal planned] Search and summarize past Claude Code work across all projects. Same workflow as remember; kept temporarily for compatibility.

⬇0 ❤23 1 month ago · Uploaded 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 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.

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