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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
TanStack TanStack
from GitHub Development & Coding
  • 📄 SKILL.md
docs library documentation

skill-domain-discovery

Analyze library documentation and source code, then interview maintainers to discover capability domains and task-focused skills for AI coding agents. Activate when creating skills for a new library, organizing existing documentation into skill categories, or when a maintainer wants help deciding how to structure their library's agent-facing knowledge. Produces a domain_map.yaml and skill_spec.md that feed directly into the skill-tree-generator skill.

⬇0 ❤263 12 days ago · Uploaded Detail →
wdm0006 wdm0006
from GitHub Development & Coding
  • 📄 SKILL.md
python apis library

designing-python-apis

Designs intuitive Python library APIs following principles of simplicity, consistency, and discoverability. Handles API evolution, deprecation, breaking changes, and error handling. Use when designing new library APIs, reviewing existing APIs for improvements, or managing API versioning and deprecations.

⬇0 ❤10 8 days ago · Uploaded Detail →
jordanburke jordanburke
from GitHub Development & Coding
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
data functype library

functype-developer

Assist contributors working on the functype library codebase. Use this skill when creating new data structures, implementing functional interfaces (Functor, Monad, Foldable), adding tests, debugging library internals, or understanding functype's Scala-inspired architecture patterns including the Base pattern, HKT system, and Companion utilities.

⬇0 ❤8 11 days ago · Uploaded Detail →
seanmcquaid seanmcquaid
from GitHub Development & Coding
  • 📁 assets/
  • 📁 references/
  • 📄 GENERATION.md
  • 📄 SKILL.md
library tsdown maintaining

arch-tsdown

TypeScript library starter using tsdown. Use when scaffolding or maintaining a TS/ESM library with tsdown, pnpm, Vitest, and npm Trusted Publisher.

⬇0 ❤8 12 days ago · Uploaded Detail →
dkushnikov dkushnikov
from GitHub Content & Multimedia
  • 📄 SKILL.md
knowledge content library

source-add

Add a source to your Mnemon knowledge library — articles, YouTube videos, podcasts, books, ideas. Captures content and generates a structured extract with personal context framing. Use when the user provides a URL to save, says "add source", "capture this", "save this article/video/podcast", or wants to process any content into their knowledge library.

⬇0 ❤5 5 days ago · Uploaded Detail →
netresearch netresearch
from GitHub Development & Coding
  • 📁 scripts/
  • 📄 SKILL.md
docs frontend library

context7

Use when looking up library documentation, API references, framework patterns, or code examples for ANY library (React, Next.js, Vue, Django, Laravel, etc.). Fetches current docs via Context7 REST API. Triggers on: how to use library, API docs, framework pattern, import usage, library example.

⬇0 ❤6 12 days ago · Uploaded Detail →
antoniocascais antoniocascais
from GitHub Development & Coding
  • 📁 scripts/
  • 📄 SKILL.md
docs library documentation

c7

Fetches up-to-date library documentation from Context7 and saves to /tmp/context7/. Use when needing current API docs, code examples, library references, SDK documentation, or checking latest library versions. Triggers: context7, c7, library docs, fetch docs, current documentation, api reference.

⬇0 ❤5 8 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