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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
pomazanbohdan pomazanbohdan
from GitHub Data & AI
  • 📁 resources/
  • 📄 SKILL.md
search embeddings retrieval

rag-pipeline

Unified RAG pipeline skill for Rust/MCP projects. Covers architecture, local embeddings via Candle ML framework, chunking strategies, retrieval patterns, hybrid search, reranking, and evaluation (NDCG/MRR). Use when: building RAG, vector search, semantic search, document retrieval, embeddings in Rust.

⬇0 ❤12 1 month ago · Uploaded Detail →
appstrate appstrate
from GitHub Tools & Productivity
  • 📄 README.md
  • 📄 SKILL.md
  • 📄 skill.ts
words text statistics

word-count

Counts the number of words in a given text. Use this tool when the user asks you to count words, analyze text length, or needs word statistics.

⬇0 ❤12 1 month ago · Uploaded Detail →
chrisallenlane chrisallenlane
from GitHub Testing & Security
  • 📁 references/
  • 📄 SKILL.md
security defensive blue-teamer

audit-security

White-box security audit. Blue-teamer evaluates defensive posture, then red-teamers attack informed by defensive gaps. Iterates when exploit chains are discovered. Heavy and thorough by design.

⬇0 ❤12 1 month ago · Uploaded Detail →
appergb appergb
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 references/
  • 📁 scripts/
  • 📄 CHANGELOG.md
  • 📄 release-notes-v1.0.3.md
  • 📄 SKILL.md
automation desktop cross-platform

desktop-agent-ops

Execute cross-platform desktop tasks through a packaged desktop automation skill that guides the main agent to observe the screen, focus apps and windows, call helper scripts for screenshots and input actions, verify each step, clean up task context, and only escalate to multi-agent collaboration when tasks become clearly multi-window or multi-app. Use when the user wants desktop GUI control, native app operation, window focus, screenshots, click and type flows, or cross-platform desktop workflows on macOS, Windows, or Linux.

⬇0 ❤12 1 month ago · Uploaded Detail →
anup-malani anup-malani
from GitHub Tools & Productivity
  • 📄 example-corpus.md
  • 📄 prompt-template.md
  • 📄 README.md
agent automation separate

voice-critic

Run a critic agent conditioned on the user's own past edits to catch voice and tone problems in a draft. Use when user says 'run voice-critic', 'voice check', 'does this sound like me', or wants a pass on a draft that has already been fact-checked and style-checked but still reads wrong. Do NOT use for fact-checking (claims verification is a separate agent) or for style-guide enforcement (also a separate agent). This skill specifically catches the gap between 'correct' and 'sounds like the author'.

⬇0 ❤10 13 days 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