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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
10xChengTu 10xChengTu
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
agent ai engineering

harness-engineering

Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase. ALSO triggers when users are frustrated or complaining about agent quality — e.g. 'the agent keeps ignoring conventions', 'it never follows instructions', 'why does it keep doing X', 'the agent is broken' — because poor agent output almost always signals harness gaps, not model problems. Covers: context engineering, architectural constraints, multi-agent coordination, evaluation, long-running agent harness, and diagnosis of agent quality issues.

⬇0 ❤30 8 days ago · Uploaded Detail →
Svenja-dev Svenja-dev
from GitHub Data & AI
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
besser ai erkennungsmerkmale

clarify-spec

AKTIVIERT SICH AUTOMATISCH bei vagen Auftraegen. LIEBER EINMAL ZU OFT NACHFRAGEN als falsch implementieren. Erkennungsmerkmale (EINES genuegt!): - Auftrag <25 Woerter - Keine konkreten Dateinamen/Pfade - Vage Verben: besser, optimieren, fixen, machen, aendern, verbessern, anpassen, erweitern, refactoren, aufraumen, ueberarbeiten - Unsichere Sprache: irgendwie, vielleicht, mal eben, schnell, einfach, bisschen, koennte, sollte - Fehlende Erfolgskriterien: Kein damit, sodass, weil, um zu - Relative Begriffe ohne Kontext: schneller, besser, schoener, einfacher Output ist STRUKTURIERTES JSON fuer prompt-architect Skill.

⬇0 ❤32 11 days ago · Uploaded Detail →
XiaoYiWeio XiaoYiWeio
from GitHub Data & AI
  • 📁 .clawhub/
  • 📁 data/
  • 📁 demo/
  • 📄 .cursorrules
  • 📄 .gitignore
  • 📄 _meta.json
security ai automation

deepsafe-scan

Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.

⬇0 ❤29 9 days ago · Uploaded Detail →
sean-sunagaku sean-sunagaku
from GitHub Development & Coding
  • 📁 scripts/
  • 📄 SKILL.md
hook ai claude-code-plugin

hook-publisher

Hook スクリプトを claude-code-plugin リポジトリの正しい構造に配置するスキル。 hook の構造検証、既存 hook との重複チェック、plugin.json 生成、marketplace.json 登録を行う。

⬇0 ❤31 12 days ago · Uploaded Detail →
itlackey itlackey
from GitHub Tools & Productivity
  • 📄 SKILL.md
ai automation docs

akm

Search, install, and manage AI agent skills, commands, tools, knowledge, and memories from any source. Works with Claude Code, OpenCode, Cursor, and any AI coding assistant.

⬇0 ❤30 12 days ago · Uploaded Detail →
bybit-exchange bybit-exchange
from GitHub Data & AI
  • 📁 modules/
  • 📄 LICENSE
  • 📄 MANIFEST
  • 📄 README.md
ai bybit derivatives

bybit-trading

Bybit AI Trading Skill — Trade on Bybit using natural language. Covers spot, derivatives, earn, and more. Works with Claude, ChatGPT, OpenClaw, and any AI assistant.

⬇0 ❤26 8 days ago · Uploaded Detail →
Huafucius Huafucius
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
data automation ai

create-figure-skill

A DeepSearch-driven workflow skill to distill any public figure into a callable Claude skill. Use this to orchestrate parallel search, data cleaning, structural research, and skill assembly.

⬇0 ❤10 1 day ago · Uploaded Detail →
MikeChongCan MikeChongCan
from GitHub Tools & Productivity
  • 📄 SKILL.md
ai automation need

10x-chat

Chat with web AI agents (ChatGPT, Gemini, Claude, Grok, Perplexity, NotebookLM) via browser automation. Use when stuck, need cross-validation, want a second-model review, need image generation, or want deep research from web AI tools.

⬇0 ❤30 12 days ago · Uploaded Detail →
logicrw logicrw
from GitHub Development & Coding
  • 📄 claw.json
  • 📄 SKILL.md
ai mechanically antigravity

agpair

Use when delegating coding tasks to external executors (Antigravity, Codex, Gemini) — multi-file changes, mechanically clear work, or parallel worktree execution.

⬇0 ❤29 12 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