Daily Featured Skills Count
3,626 3,840 3,909 3,920 3,927 3,966 4,007
04/05 04/06 04/07 04/08 04/09 04/10 04/11
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

jgraph jgraph
from GitHub Content & Multimedia
  • 📄 SKILL.md

drawio

Always use when user asks to create, generate, draw, or design a diagram, flowchart, architecture diagram, ER diagram, sequence diagram, class diagram, network diagram, mockup, wireframe, or UI sketch, or mentions draw.io, drawio, drawoi, .drawio files, or diagram export to PNG/SVG/PDF.

0 2.2K 8 days ago · Uploaded Detail →
sopaco sopaco
from GitHub Development & Coding
  • 📁 scripts/
  • 📄 configuration.md
  • 📄 examples.md
  • 📄 integration.md

deepwiki-rs

AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Use when Claude needs to analyze source code, understand software architecture, generate technical specs, or create professional documentation from any programming language.

0 860 6 days ago · Uploaded Detail →
tw93 tw93
from GitHub Testing & Security
  • 📁 agents/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

check

Invoke after any implementation task completes or before merging. Reviews the diff, auto-fixes safe issues, runs specialist security and architecture reviewers on large diffs. Not for exploring ideas or debugging.

0 910 7 days ago · Uploaded Detail →
bgauryy bgauryy
from GitHub Development & Coding
  • 📁 references/
  • 📄 README.md
  • 📄 SKILL.md

octocode-design

High-level design-system and UI architecture generator for existing or new projects. Uses Octocode MCP local tools first, then creates a dynamic (not rigid) DESIGN.md covering visual language, styling strategy, component architecture, framework constraints, accessibility, performance, responsive behavior, and implementation guidance.

0 782 11 days ago · Uploaded Detail →
evstack evstack
from GitHub Data & AI
  • 📄 block-architecture.md
  • 📄 da-sequencing.md
  • 📄 SKILL.md

ev-node-explainer

Explains ev-node architecture, components, and internal workings. Use when the user asks how ev-node works, wants to understand the block package, DA layer, sequencing, namespaces, or needs architecture explanations. Covers block production, syncing, DA submission, forced inclusion, single vs based sequencer, and censorship resistance.

0 362 11 days ago · Uploaded Detail →
gbessoni gbessoni
from GitHub Testing & Security
  • 📁 fixtures/
  • 📁 references/
  • 📁 scripts/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 CHANGELOG.md

seobuild-onpage

Write SEO pages that rank on Google AND get cited by LLMs. Uses live SERP data, 500-token chunk architecture, and the Reddit Test quality gate.

0 152 8 days ago · Uploaded Detail →
oh-my-mermaid oh-my-mermaid
from GitHub Tools & Productivity
  • 📄 SKILL.md

omm-push

Push architecture docs to oh-my-mermaid cloud. Handles login, link, and push workflow with error guidance. Use when the user says "omm push", "push to cloud", "deploy architecture", or "share architecture".

0 158 10 days ago · Uploaded Detail →
gbessoni gbessoni
from GitHub Testing & Security
  • 📁 fixtures/
  • 📁 references/
  • 📁 scripts/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 CHANGELOG.md

seo-agi

Write SEO pages that rank on Google AND get cited by LLMs. Uses live SERP data, 500-token chunk architecture, and the Reddit Test quality gate.

0 146 9 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