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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
dbmcco dbmcco
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation ai workflows

gemini-cli-extension-porting

Use when porting beads or superpowers workflows into Gemini CLI extensions or designing Gemini CLI command prompts that emulate multi-step agent workflows - covers extension layout, GEMINI.md context, command TOML patterns, and enforceable guardrails (tests/CI/pre-commit)

⬇0 ❤11 1 month ago · Uploaded Detail →
fivetaku fivetaku
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
agent automation when

agent-builder

This skill should be used when the user asks to "create agent", "build agent", "new agent", "add agent", "에이전트 만들어줘", "에이전트 추가해줘", "서브에이전트 추가", or when the orchestrator detects no suitable agent exists for a task.

⬇0 ❤11 1 month ago · Uploaded Detail →
ConflictHQ ConflictHQ
from GitHub Tools & Productivity
  • 📁 hooks/
  • 📁 scripts/
  • 📄 FLEET.md
  • 📄 install.md
  • 📄 SKILL.md
automation scuttlebot gemini

gemini-relay

Bidirectional Gemini integration for scuttlebot. Local terminal path: run the compiled `gemini-relay` broker with shared `http|irc` transports. IRC-resident bot path: run `gemini-agent`. Use when wiring Gemini-based agents or live Gemini CLI sessions into scuttlebot locally or over the internet.

⬇0 ❤11 1 month ago · Uploaded Detail →
webmyc webmyc
from GitHub Content & Multimedia
  • 📄 SKILL.md
content data export

content-portability

Export WordPress pages, posts, and custom posts to portable local packages with builder data, media, and human-readable markdown. Import to another site with smart ID remapping. Auto-backup before AI edits. Use when user says "export my site", "backup my pages", "migrate content", "download my content", or "content portability".

⬇0 ❤11 1 month ago · Uploaded Detail →
DevvGwardo DevvGwardo
from GitHub Content & Multimedia
  • 📁 docs/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 _meta.json
  • 📄 CHANGELOG.md
images videos generation

grok-imagine-video

xAI Grok Imagine API integration for image generation, text-to-video, image-to-video, and editing via natural language. Use when you need to generate images or videos from text prompts, edit existing images, animate static images into videos, or edit existing videos with natural language instructions. Supports conversational generation across messaging platforms with async polling, progress updates, and automatic delivery.

⬇0 ❤11 1 month ago · Uploaded Detail →
alexadark alexadark
from GitHub Content & Multimedia
  • 📁 references/
  • 📁 scripts/
  • 📁 templates/
  • 📄 .env.example
  • 📄 fetch.sh
  • 📄 README.md
transcript youtube videos

media-extract

Universal media extraction and analysis. Handles YouTube videos (visual + transcript), web articles, local files (video, audio, PDF, text), pasted content, and folders of videos. Extracts structured summaries, visual analysis via Gemini, golden nuggets, workflows, commands, code examples, chapters, quotes, and breakdowns. Downloads YouTube videos. Cleans meeting transcripts (Fathom, Otter, Zoom) by removing timestamps, filler words, small talk. Use when user shares a YouTube URL, article URL, pastes a transcript, points to local media, asks to analyze/download any content, or says "clean this transcript", "nettoyer", "remove timestamps".

⬇0 ❤11 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