Daily Featured Skills Count
4,870 4,909 4,940 4,970 5,005 5,034 5,044
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
ucsandman ucsandman
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
dashclaw data ai

dashclaw-platform-intelligence

DashClaw platform expert for integration, troubleshooting, and governance. Use when working with DashClaw APIs/SDKs: instrumenting agents, action recording, guard/policy checks, SSE real-time events, org/workspace context, auth headers (x-api-key), errors (401/403/429/503), building API routes, generating SDK/client methods, bootstrapping agent data, configuring evaluations/scorers, prompt templates/versioning, feedback capture, compliance exports, drift monitoring, learning analytics/velocity, scoring profiles, risk templates, CLI approval channel, terminal approvals, dashclaw approve, dashclaw approvals, dashclaw deny, Claude Code hooks, PreToolUse, PostToolUse, governed tool calls, DASHCLAW_HOOK_MODE, terminal governance.

⬇0 ❤201 1 month ago · Uploaded Detail →
getsentry getsentry
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation prompt ai

agent-prompt

Reference guide for writing effective agent prompts and skills. Use when creating new skills, reviewing prompt quality, or understanding Warden's prompt architecture.

⬇0 ❤158 12 days ago · Uploaded Detail →
jontsai jontsai
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 config/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 .prettierignore
  • 📄 .prettierrc
automation ai intelligence

command-center

Mission control dashboard for OpenClaw - real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals. View all your AI agents in one place.

⬇0 ❤184 1 month ago · Uploaded Detail →
actionbook actionbook
from GitHub Docs & Knowledge
  • 📄 SKILL.md
ai reproducible automation

ascent-research

Full ascent-research CLI — incremental, resumable research sessions driven from a Claude Code or Codex instance. Orchestrate postagent (HTTP API) + actionbook browser (CDP) + local file ingest to build reproducible sessions with a persistent wiki layer, autonomous LLM loop, and editorial HTML reports. Covers all command surfaces — online fetch (add / batch / route), local ingest (add-local), session lifecycle (new / list / status / resume / close / rm / series / fork via --from), autonomous loop, wiki knowledge layer (list / show / rm / query / lint), user-editable SCHEMA.md, and renderers (synthesize / report / coverage / diff). Use for any "build a reproducible report on topic X" or "investigate source tree Y" or "compare technologies A and B with citations" request.

⬇0 ❤148 12 days ago · Uploaded Detail →
tavily-ai tavily-ai
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation docs ai

tavily-best-practices

Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.

⬇0 ❤172 1 month ago · Uploaded Detail →
shouc shouc
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation agents ai

agentflow

Build and run multi-agent pipelines using AgentFlow. Use when the user wants to orchestrate codex, claude, or kimi agents in parallel, in sequence, or in iterative loops. Trigger when the user mentions multi-agent workflows, fan-out tasks, code review pipelines, iterative implementation loops, running agents on EC2/ECS, or any task that needs multiple AI agents coordinated together. Also trigger for "agentflow", "pipeline", "graph of agents", "fanout", "shard", or "run codex on remote".

⬇0 ❤170 1 month ago · Uploaded Detail →
ShunsukeHayashi ShunsukeHayashi
from GitHub Development & Coding
  • 📄 benchmark.md
  • 📄 SKILL.md
ai copilot claude

agent-skill-bus

タスクを自動分析して最適なコーディングエージェント（Copilot/Devin/Cursor/Claude Code/Manus）にルーティングする自動化スキル。実測データに基づく精度の高い振り分けロジック。

⬇0 ❤153 1 month ago · Uploaded Detail →
benoror benoror
from GitHub Data & AI
  • 📄 SKILL.md
ai path transcripts

cache-notes

Fetch & embed AI transcripts as Obsidian callouts. Args: <path>, all, refresh <path>. Prompts for URLs if empty.

⬇0 ❤151 1 month ago · Uploaded Detail →
zai-org zai-org
from GitHub Content & Multimedia
  • 📁 scripts/
  • 📄 SKILL.md
ai high-quality images

glm-image-gen

Official skill for generating high-quality images from text prompts using ZhiPu GLM-Image API. Excellent at scientific illustrations, high-quality portraits, social media graphics, and commercial posters. Supports multiple aspect ratios, HD quality, and watermark control. Use this skill when the user wants to generate images, create AI art, text-to-image, or convert text descriptions into visual content.

⬇0 ❤147 1 month ago · Uploaded Detail →
seojoonkim seojoonkim
from GitHub Development & Coding
  • 📁 blog/
  • 📁 patterns/
  • 📁 prompt_guard/
  • 📄 .gitignore
  • 📄 app.py
  • 📄 ARCHITECTURE.md
security ai automation

prompt-guard

600+ pattern AI agent security defense covering prompt injection, supply chain injection, memory poisoning, action gate bypass, unicode steganography, and cascade amplification. Optional API for early-access and premium patterns. Tiered loading, hash cache, 11 SHIELD categories, 10 languages.

⬇0 ❤145 1 month 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