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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
osaurus-ai osaurus-ai
from GitHub Tools & Productivity
  • 📁 Sources/
  • 📁 Tests/
  • 📄 CHANGELOG.md
  • 📄 Package.swift
  • 📄 SKILL.md
automation multi-agent inspection

osaurus-browser

Teaches the agent how to use the headless browser tools — per-agent persistent sessions, the open_login helper, refs, batching, detail levels, console/network inspection, dialogs, viewport/UA, cookies, and lock/unlock for multi-agent safety.

⬇0 ❤44 1 month ago · Uploaded Detail →
lktiep lktiep
from GitHub Tools & Productivity
  • 📄 SKILL.md
enforcement everything multi-ide

install

Set up or update Cortex Hub for the current project. Handles everything in one step - global skill, MCP config, enforcement hooks, quality gates, multi-IDE support. Safe to run multiple times.

⬇0 ❤44 1 month ago · Uploaded Detail →
kimsanguine kimsanguine
from GitHub Data & AI
  • 📁 bad-examples/
  • 📁 context/
  • 📁 good-examples/
  • 📄 SKILL.md
prd ai workflow

prd-generator

소크라틱 질문 기반 PRD 생성 — PM의 가정을 도전하고, 복수 옵션을 제시하며, 견고한 PRD를 만드는 AI PM 스킬

⬇0 ❤44 1 month ago · Uploaded Detail →
ldclabs ldclabs
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 src/
  • 📄 API.md
  • 📄 API_cn.md
  • 📄 app.html
memory automation conversations

anda-hippocampus

Long-term memory service for LLM agents. Provides persistent, structured memory (Cognitive Nexus) through three operations: Formation (encode conversations into memory), Recall (query memory with natural language), and Maintenance (consolidate and prune memory).

⬇0 ❤44 1 month ago · Uploaded Detail →
grcengineering grcengineering
from GitHub Data & AI
  • 📄 INSTALL.md
  • 📄 manifest.json
  • 📄 SKILL.md
explanation concept learner

concept-tutor

Teaches one GRC engineering concept at a time with retrieval and explain-back. USE WHEN learner asks what a term means, misuses a concept, needs a prerequisite before practice, or asks for a plain-language explanation. NOT FOR grading the learner's own explanation; use feynman-explainer.

⬇0 ❤17 2 days ago · Uploaded Detail →
stevegeek stevegeek
from GitHub Content & Multimedia
  • 📄 api-reference.md
  • 📄 examples.md
  • 📄 SKILL.md
vident stimulus rails

Vident

This skill should be used when writing or editing Rails view components in a project that depends on `vident`, `vident-view_component`, or `vident-phlex` — i.e. any class inheriting from `Vident::ViewComponent::Base` or `Vident::Phlex::HTML`, any paired `*_component_controller.js` Stimulus file next to such a component, or the `stimulus_*` props / `stimulus do ... end` DSL / `child_element` / `root_element` / `class_list_for_stimulus_classes` / `Vident::StimulusNull` / `Vident::StableId` APIs. It also covers the `bin/rails generate vident:install` initializer and the per-request ID seeding it installs on `ApplicationController`.

⬇0 ❤39 18 days ago · Uploaded Detail →
kylehughes kylehughes
from GitHub Development & Coding
  • 📁 GuidedTour/
  • 📁 LanguageGuide/
  • 📁 ReferenceManual/
  • 📄 LICENSE.txt
  • 📄 SKILL.md
language swift concurrency

programming-swift

Provides the complete content of 'The Swift Programming Language (6.3 beta)' book by Apple. Use this skill when you need to verify Swift syntax, look up language features, understand concurrency, resolve compiler errors, or consult the formal language reference.

⬇0 ❤43 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