Daily Featured Skills Count
4,256 4,301 4,343 4,380 4,407 4,442 4,455
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
QuantumBFS QuantumBFS
from GitHub Development & Coding
  • 📄 extract_dialog.py
  • 📄 SKILL.md
graesser dialog ai

conversation-dump

Use when analyzing conversation patterns — extracts dialog from Claude Code or Codex CLI history, classifies each user message across 6 academic dimensions (Bloom's cognitive level, Graesser question depth, Paul & Elder reasoning probe, Walton presupposition quality, Long & Sato discourse function, Graesser generation mechanism), and outputs tagged dialog reports

⬇0 ❤21 24 days ago · Uploaded Detail →
twwch twwch
from GitHub Docs & Knowledge
  • 📁 instructions/
  • 📁 references/
  • 📄 SKILL.md
seedance ai midjourney

cinematic-prompt

电影级全流程提示词生成。用户给出故事主题，一键生成完整 markdown 文件，包含：角色设定提示词、场景提示词、完整剧本、分镜表、每个分镜的视频生成提示词。支持 Seedance 2.0 / 即梦 / Midjourney / SD。触发词：分镜、提示词、prompt、镜头、脚本、剧本、视频生成、电影风格、Seedance、生成剧本。

⬇0 ❤20 20 days ago · Uploaded Detail →
xiaolai xiaolai
from GitHub Tools & Productivity
  • 📄 SKILL.md
ai automation conventions

conventions

Use when writing, reviewing, or validating Claude Code plugin artifacts — check frontmatter schemas, hook event names, naming conventions, prompt structure, or reference syntax. Loaded by the NLPM scorer and checker agents for schema validation.

⬇0 ❤19 16 days ago · Uploaded Detail →
o11y-dev o11y-dev
from GitHub Development & Coding
  • 📁 .claude-plugin/
  • 📁 .cursor-plugin/
  • 📁 .github/
  • 📄 .DS_Store
  • 📄 .gitignore
  • 📄 .markdownlint-cli2.jsonc
ai observability data

opentelemetry-skill

Use when working with OpenTelemetry - configuring collectors, designing pipelines, instrumenting applications, implementing sampling strategies, managing cardinality, securing telemetry data, troubleshooting observability issues, writing OTTL transformations, making production observability architecture decisions, or setting up observability for AI coding agents (Claude Code, Codex, Gemini CLI, GitHub Copilot, and others)

⬇0 ❤17 10 days ago · Uploaded Detail →
lunchpaillola lunchpaillola
from GitHub Research & Analysis
  • 📁 references/
  • 📄 SKILL.md
ai autoresearch optimize

autoresearch

Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

⬇0 ❤20 21 days ago · Uploaded Detail →
xiaolai xiaolai
from GitHub Docs & Knowledge
  • 📄 SKILL.md
docs ai security

claude-code-conventions

Canonical reference for Claude Code plugin artifact schemas, hook events, frontmatter fields, and naming conventions. Used to inject domain knowledge into Codex audit prompts. Run /codex-toolkit:refresh-knowledge to update from latest docs.

⬇0 ❤20 23 days ago · Uploaded Detail →
jkf87 jkf87
from GitHub Development & Coding
  • 📁 agents/
  • 📁 examples/
  • 📁 orchestration/
  • 📄 CATALOG.md
  • 📄 README.md
  • 📄 SKILL.md
ai claude glm

harness

OpenClaw 하네스 — Plan→Work→Review 에이전트 오케스트레이션 + 모델 라우팅 + 채널 브릿지. Claude Code 하네스 생태계 분석 기반. GLM/GPT/Claude 모델 지원. GLM-5.1 포함. 한국어 감지→GLM 자동 라우팅. sessions_spawn으로 에이전트별 모델 별도 지정. 브릿지로 실시간 채널 알림.

⬇0 ❤20 23 days ago · Uploaded Detail →
sunnnybala sunnnybala
from GitHub Research & Analysis
  • 📁 .github/
  • 📁 _shared/
  • 📁 analyze-results/
  • 📄 .gitignore
  • 📄 ARCHITECTURE.md
  • 📄 CHANGELOG.md
automation research ai

rstack

Research automation skills for Claude Code. Full pipeline from idea to submittable paper. Skills: /lit-review, /novelty-check, /experiment, /analyze-results, /write-paper, /research (orchestrator), /setup.

⬇0 ❤19 19 days ago · Uploaded Detail →
Dearest Dearest
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 .gitignore
  • 📄 README.md
  • 📄 README_EN.md
agent design ai

claude-code-methodology

Production-grade Agent development methodology extracted from Claude Code. 7-dimension framework covering tool design, system prompts, permission & safety, multi-agent orchestration, token economy, memory/state, and extensibility. Supports architecture design, implementation guidance, and agent review. Trigger on "Agent design", "build an agent", "AI agent", "tool design", "system prompt architecture", "agent review", "multi-agent", or any agent development concern.

⬇0 ❤18 21 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