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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Bande-a-Bonnot Bande-a-Bonnot
from GitHub Tools & Productivity
  • 📁 examples/
  • 📄 enforce-hooks.py
  • 📄 engine.sh
  • 📄 generate.sh
ai claude.md scripts

enforce-hooks

Analyze a CLAUDE.md file and generate PreToolUse hook scripts that enforce its rules at the tool-call level. Use when users want their CLAUDE.md directives enforced as code rather than relying on prompt compliance. Reads the CLAUDE.md, identifies enforceable rules, generates standalone bash hook scripts, and wires them into .claude/settings.json.

⬇0 ❤53 1 month ago · Uploaded Detail →
koriym koriym
from GitHub Data & AI
  • 📄 SKILL.md
php coverage profile

xdebug

PHP debugging and analysis tools using Xdebug. Use when asked to trace, debug, profile, or analyze coverage of PHP code. Trigger phrases include "trace this function", "profile this code", "check coverage", "debug PHP", "set breakpoint", "find the bottleneck", "why is this slow", "トレース", "プロファイル", "カバレッジ".

⬇0 ❤50 25 days ago · Uploaded Detail →
wandb wandb
from GitHub Data & AI
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
runs launching training

wandb-primary

Primary skill for querying, analyzing, and launching W&B projects. Covers W&B SDK (training runs, metrics, artifacts, sweeps, reports), Weave SDK (GenAI traces, evaluations, scorers, monitors), and W&B Launch (reproducing runs, submitting training jobs to compute, queue management). Use this for: project overviews, run analysis, trace inspection, eval summaries, report creation, monitor setup, launching/relaunching runs, and any broad 'what's going on' questions.

⬇0 ❤48 19 days ago · Uploaded Detail →
Azure-Samples Azure-Samples
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
backend durable azure

durable-functions-dotnet

Build durable, fault-tolerant workflows using Azure Durable Functions with .NET isolated worker and Durable Task Scheduler backend. Use when creating serverless orchestrations, activities, entities, or implementing patterns like function chaining, fan-out/fan-in, async HTTP APIs, human interaction, monitoring, or stateful aggregators. Applies to Azure Functions apps requiring durable execution, state persistence, or distributed coordination with built-in HTTP management APIs and Azure integration.

⬇0 ❤53 1 month ago · Uploaded Detail →
dansugc dansugc
from GitHub Data & AI
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md
frontend dansugc publish

reelclaw

Create, produce, and publish UGC-style short-form video reels at scale. Full pipeline: source UGC reaction hooks from DanSUGC, analyze app demos with Gemini AI, assemble reels with ffmpeg, publish via DanSUGC Posting (TikTok + Instagram), track performance and research viral formats/hooks via DanSUGC's built-in analytics proxy.

⬇0 ❤53 1 month ago · Uploaded Detail →
xopcai xopcai
from GitHub Business & Operations
  • 📄 SKILL-zh.md
  • 📄 SKILL.md
company culture their

company-values

Help define company values and culture for a minimalist business. Use when someone is setting up their company culture, preparing to hire, or wanting to codify what their company stands for.

⬇0 ❤7 18 hours 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