Daily Featured Skills Count
5,034 5,070 5,117 5,165 5,205 5,241 5,259
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

writeitai writeitai
from GitHub Development & Coding
  • 📄 SKILL.md

team-harness

Install, configure, and run team-harness — a CLI (`th`) and Python SDK that coordinates multiple AI coding agent CLIs (Codex, Gemini, Claude Code, OpenHands, OpenCode, pi) so they collaborate as a team on a single task. Use this skill whenever the user mentions team-harness, the `th` command, `th init` / `th run` / `th repl` / `th logs`, asks to install or set up team-harness, wants a multi-agent run across Codex / Gemini / Claude / OpenHands together, or asks how to point team-harness at OpenRouter or another OpenAI-compatible provider. Use even when the user does not say "team-harness" explicitly but describes wanting to orchestrate several AI coding CLIs together as a team, plug different model providers into one workflow, or fan a task out to multiple agent CLIs and aggregate the results.

0 5 23 hours ago · Uploaded Detail →
OSideMedia OSideMedia
from GitHub Content & Multimedia
  • 📁 .claude/
  • 📁 db/
  • 📁 docs/
  • 📄 .gitattributes
  • 📄 .gitignore
  • 📄 CHANGELOG.md

higgsfield

Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Sora 2, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0, Vibe Motion, troubleshooting failed generations, credit optimization, Photodump, or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt" or "make me an AI video prompt" requests when Higgsfield is the user's configured platform.

0 37 1 month ago · Uploaded Detail →
AINYC AINYC
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

canonry

Agent-first AEO (Answer Engine Optimization) operating platform using canonry CLI and aeo-audit tool. Use when: (1) running citation sweeps across AI providers (Gemini, ChatGPT, Claude, Perplexity); (2) auditing technical SEO with structured data validation; (3) implementing schema markup, sitemaps, llms.txt; (4) diagnosing indexing issues via Google Search Console and Bing Webmaster Tools; (5) optimizing content for AI readability and entity consistency. NOT for: general web development, content writing, PPC campaigns, or social media management.

0 36 1 month ago · Uploaded Detail →
DGouron DGouron
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

agent-creator

Guide for creating optimized Claude Code agents. Use to design a new specialized agent, a swarm sub-agent, or a multi-agent workflow. Follows the Skill → Agent (preloaded skills) → Skill orchestration pattern.

0 35 1 month ago · Uploaded Detail →
cyberxuan-XBX cyberxuan-XBX
from GitHub Development & Coding
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md

skill-sanitizer

First open-source AI sanitizer with local semantic detection. 7 layers + code block awareness + LLM intent analysis. Catches prompt injection, reverse shells, memory tampering, encoding evasion, trust abuse. 85% fewer false positives in v2.1. Zero cloud — your prompts stay on your machine.

0 35 1 month ago · Uploaded Detail →
ya-luotao ya-luotao
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

claude-agent-ruby

Implement or modify Ruby code using the claude-agent-sdk gem. Covers query() one-shot calls, Client-based interactive sessions, streaming input, all 27 hook events, permission callbacks, SDK MCP servers, structured output, bare mode, full sandbox settings (network + filesystem), all 24 message types (including tool_progress, auth_status, prompt_suggestion, hook lifecycle, compact_boundary, session_state_changed), session browsing/mutations, subagents, file checkpointing, Rails integration, and custom transports. Use this skill whenever the user mentions claude-agent-sdk, Claude Agent Ruby, building AI agents in Ruby, or integrating Claude Code into a Ruby/Rails application.

0 33 1 month ago · Uploaded Detail →
sliamh11 sliamh11
from GitHub Development & Coding
  • 📄 SKILL.md

add-codex

Add OpenAI/Codex as a backend. Guides through API key setup, service backend configuration, optional CLI setup, and verification. Can run alongside Claude (default) or replace it.

0 32 1 month ago · Uploaded Detail →
Svenja-dev Svenja-dev
from GitHub Data & AI
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md

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 1 month ago · Uploaded Detail →
openclaw openclaw
from GitHub Data & AI
  • 📄 SKILL.md

clownfish-cloud-pr

Use when launching Clownfish in GitHub Actions to create or update one guarded GitHub implementation PR from issue/PR refs, a ClawSweeper report, a custom maintainer prompt, or opt any PR into ClawSweeper-reviewed Clownfish automerge.

0 25 11 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