Daily Featured Skills Count
3,909 3,920 3,927 3,966 4,007 4,057 4,069
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
eisen0419 eisen0419
from GitHub Tools & Productivity
  • 📄 SKILL.md
claude.md ai conversations

evolve-claude-md

This skill should be used when the user asks to 'evolve CLAUDE.md', 'update CLAUDE.md from experience', or 'self-evolve'. Scans conversations and notes to extract actionable findings and appends them to CLAUDE.md.

⬇0 ❤7 9 days ago · Uploaded Detail →
egerev egerev
from GitHub Data & AI
  • 📁 agents/
  • 📁 docs/
  • 📁 prompts/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CLAUDE.md
automation docs ai

superflow

Use when user says 'superflow', 'суперфлоу', or asks for full dev workflow. Four phases: (0) project onboarding & CLAUDE.md bootstrap, (1) collaborative Product Discovery with multi-expert brainstorming, (2) fully autonomous execution with PR-per-sprint, git worktrees, dual-model reviews, max parallelism, and verification discipline, (3) merge with documentation update.

⬇0 ❤8 13 days ago · Uploaded Detail →
anhnguyensynctree anhnguyensynctree
from GitHub Testing & Security
  • 📄 .gitignore
  • 📄 bun.lock
  • 📄 commands.ts
web ai authenticated

browse

Persistent browser daemon for live web testing, UI verification, and authenticated flows. Use when Claude needs to interact with a running web app — staging, localhost, or production.

⬇0 ❤7 10 days ago · Uploaded Detail →
lossless-claude lossless-claude
from GitHub Tools & Productivity
  • 📄 SKILL.md
memory ai lossless-claude

lcm-context

You MUST use this before any work to recall project memory, and after implementing to store decisions. Lossless-claude (lcm) provides persistent cross-session memory via CLI commands.

⬇0 ❤7 10 days ago · Uploaded Detail →
iuliandita iuliandita
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
ai automation database

ai-ml

· Build, review, or architect AI/ML applications -- LLM integrations, RAG pipelines, agent systems, embeddings, evals, local inference, structured output, and tool use. Triggers: 'llm', 'rag', 'embedding', 'vector store', 'langchain', 'openai sdk', 'anthropic sdk', 'agent loop', 'fine-tune', 'ollama', 'vllm', 'evals', 'guardrails', 'chunking', 'reranking'. Not for MCP servers (use mcp), prompt writing (use prompt-generator), or general DB (use databases).

⬇0 ❤6 8 days ago · Uploaded Detail →
Dearest Dearest
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 .gitignore
  • 📄 README.md
  • 📄 README_EN.md
agent design ai

agent-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 ❤7 11 days ago · Uploaded Detail →
gigaverse-app gigaverse-app
from GitHub Data & AI
  • 📁 docs/
  • 📁 references/
  • 📄 SKILL.md
data ai langsmith-cli

langsmith

Inspect and manage LangSmith traces, runs, datasets, and prompts using the 'langsmith-cli'.

⬇0 ❤7 12 days ago · Uploaded Detail →
Leoyang183 Leoyang183
from GitHub Tools & Productivity
  • 📄 SKILL.md
ai automation backend

sync-awareness

Suggest syncing MCP server configurations or instruction files to other AI coding agents when the user is editing MCP settings (.claude.json, .mcp.json) or modifying CLAUDE.md files. Available commands: /sync, /sync-list, /sync-diff, /sync-instructions.

⬇0 ❤7 13 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 ❤5 6 days ago · Uploaded Detail →
edwin-hao-ai edwin-hao-ai
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 SKILL.md
memory ai automatically

awareness-memory

Persistent memory across sessions — local-first, no account needed. Automatically recalls past decisions, code, and tasks before each prompt, and saves session checkpoints. Also provides manual tools for searching, recording, and querying memory via Bash commands.

⬇0 ❤7 14 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