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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
SeifBenayed SeifBenayed
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation devops verify

browse

Visual feedback browser automation with multi-session, multi-tab, iframe support, and enterprise primitives. Navigate sites, interact with elements, manage tabs/sessions, handle file uploads, dropdowns, iframes, and verify results using the screenshot-analyze-act-verify loop. Use when asked to "open a site", "test a page", "fill a form", "check a deployment", "browse to", "click on", "verify the UI", "compare pages side by side", or any task involving web interaction. Also use proactively when a task would benefit from checking a live URL.

⬇0 ❤109 29 days ago · Uploaded Detail →
gitroomhq gitroomhq
from GitHub Tools & Productivity
  • 📁 .claude-plugin/
  • 📁 examples/
  • 📁 server/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 FEATURES.md
linkedin page farcaster

postiz

Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest, Dribbble, Discord, Slack, Kick, Twitch, Mastodon, Bluesky, Lemmy, Farcaster, Telegram, Nostr, VK, Medium, Dev.to, Hashnode, WordPress, ListMonk

⬇0 ❤106 24 days ago · Uploaded Detail →
opentrace opentrace
from GitHub Development & Coding
  • 📄 SKILL.md
graph code docs

explore-code

Explore code structure, architecture, files, directories, and component relationships using the OpenTrace knowledge graph. Use this skill for ANY question about the codebase that the graph might answer — including browsing, searching, and understanding code organization.

⬇0 ❤79 7 days ago · Uploaded Detail →
yoloshii yoloshii
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 agents/
  • 📁 bin/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 AGENTS.md
automation clawmem memory

clawmem

ClawMem agent reference — detailed operational guidance for the on-device hybrid memory system. Use when: setting up collections/indexing/embedding, troubleshooting retrieval, tuning query optimization (4 levers), understanding pipeline behavior, managing memory lifecycle (pin/snooze/forget), building graphs, or any ClawMem operation beyond basic tool routing.

⬇0 ❤108 1 month ago · Uploaded Detail →
this-rs this-rs
from GitHub Tools & Productivity
  • 📁 .cargo/
  • 📁 .github/
  • 📁 crates/
  • 📄 .env.example
  • 📄 .env.production.example
  • 📄 .gitignore
automation docs coordinating

project-orchestrator

AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.

⬇0 ❤105 26 days ago · Uploaded Detail →
ArchiveBox ArchiveBox
from GitHub Content & Multimedia
  • 📄 SKILL.md
archivebox content screenshots

abx-dl

Use this when you need to scrape websites, extract page content, download media, or run the ArchiveBox extractors without a full ArchiveBox install. abx-dl can save many kinds of web content including txt, md, html, json, pdf, png, jpg, mp4, mp3, srt, screenshots, favicons, headers, DOM snapshots, mirrored sites, and more using the same plugin ecosystem that powers ArchiveBox.

⬇0 ❤107 29 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