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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
youngfreeFJS youngfreeFJS
from GitHub Testing & Security
  • 📁 references/
  • 📄 EXAMPLE_REPORT.md
  • 📄 README.md
  • 📄 SKILL.md
skill.md when automation

skill-test-skill

Tests and scores any Agent Skill against the official anthropics/skills specification. Use this skill when you need to check if a skill repository or SKILL.md file is compliant with the Agent Skills standard, audit skill quality, get a compliance score, or receive specific improvement suggestions. Trigger when users say things like "check my skill", "test this skill", "does my skill follow the spec", "score my skill", "review my SKILL.md", "is my skill correct", "检查我的skill", "测试这个skill", "这个skill符合规范吗", "给我的skill打分", or when they provide a path to a skill directory or SKILL.md file and want it reviewed.

⬇0 ❤47 1 month ago · Uploaded Detail →
juspay juspay
from GitHub Data & AI
  • 📄 SKILL.md
failed steps run

ci

Run local CI (`just ci`) and verify all steps passed. Use when building, testing across systems, checking commit statuses, retrying failed CI steps, or diagnosing CI failures. Triggers on "run CI", "check CI", "CI failed", "retry CI", "build and test".

⬇0 ❤19 3 days ago · Uploaded Detail →
modu-ai modu-ai
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
moai catalog harness

moai

MoAI — 100개 자기진화 도메인 하네스 AI 전문가. '/moai init'으로 개인화된 하네스를 설치하고, '/moai catalog'로 카탈로그를 조회하고, '/moai status'로 상태를 확인한다. '유튜브 영상 기획', '시장 조사', '계약서 검토', '사업계획서', '여행 계획', '뉴스레터 작성', '세무 상담', '채용 파이프라인', 'ESG 보고서', '데이터 분석' 등 100가지 도메인의 전문가 하네스를 제공한다. 자연어로 도메인 요청 시 자동 감지하여 해당 하네스 레퍼런스를 로딩한다. MoAI, 모아이, harness, 하네스, 전문가 모드, expert mode.

⬇0 ❤46 27 days ago · Uploaded Detail →
modu-ai modu-ai
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
moai catalog harness

moai

MoAI — 100개 자기진화 도메인 하네스 AI 전문가. '/moai init'으로 개인화된 하네스를 설치하고, '/moai catalog'로 카탈로그를 조회하고, '/moai status'로 상태를 확인한다. '유튜브 영상 기획', '시장 조사', '계약서 검토', '사업계획서', '여행 계획', '뉴스레터 작성', '세무 상담', '채용 파이프라인', 'ESG 보고서', '데이터 분석' 등 100가지 도메인의 전문가 하네스를 제공한다. 자연어로 도메인 요청 시 자동 감지하여 해당 하네스 레퍼런스를 로딩한다. MoAI, 모아이, harness, 하네스, 전문가 모드, expert mode.

⬇0 ❤46 27 days ago · Uploaded Detail →
worldliberty worldliberty
from GitHub Development & Coding
  • 📁 agents/
  • 📄 SKILL.md
plugin src automation

add-plugin

Use this skill when the user wants to add, refactor, or generalize a `agentpay <plugin>` integration like Bitrefill. Follow the shared plugin registration path under `src/plugins`, keep plugin-specific API or scraping code under `src/lib/<plugin>` or `src/lib/<plugin>/`, reuse the existing Rust daemon signing and policy path through the shared CLI plugin context instead of reimplementing signing, and add focused CLI tests for the new plugin.

⬇0 ❤47 1 month ago · Uploaded Detail →
liqiongyu liqiongyu
from GitHub Data & AI
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md
requirements product prompt

writing-prds-executable

Draft, critique, or rewrite PRDs (product requirements / product specs) and adjacent artifacts (PR/FAQ, acceptance criteria, rollout plan). For AI/LLM features, also draft eval specs (LLM-as-judge) and prompt sets. Output must be in English. Use when the user asks for a PRD/spec/requirements/PRFAQ/evals/prompt sets, or needs help clarifying scope, success metrics, non-goals, user stories, or stakeholder alignment.

⬇0 ❤46 28 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