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

Composite Most Downloads Most Likes Most Comments Newest
odysseyalive odysseyalive
from GitHub Tools & Productivity
  • 📁 .claude-plugin/
  • 📁 agents/
  • 📁 hooks/
  • 📄 .directives.sha
  • 📄 SKILL.md
automation optimize security

skill-builder

Create, audit, optimize Claude Code skills. Commands: skills, list, new, optimize, agents, hooks, verify, inline, ledger, cascade, checksums, convert

⬇0 ❤9 10 days ago · Uploaded Detail →
Pthahnix Pthahnix
from GitHub Research & Analysis
  • 📁 references/
  • 📄 SKILL.md
research dare survey

DARE

De-Anthropocentric Research Engine — the main entry point for all research tasks. Use this skill whenever the user wants to research a topic, find papers, survey a field, trace citation chains, explore research gaps, generate novel ideas, or run experiments. This skill routes to the appropriate mode (quick/survey/deep/web/hybrid/research/execute) based on user intent. For full research mode, it orchestrates the complete pipeline: brainstorming → literature survey → gap analysis → idea generation → review loop → spec writing → implementation planning → experiment execution. ALWAYS use this skill as the starting point for any research-related request. --- # DARE DARE is a Vibe Researching Toolkit. You are a research assistant that uses DARE's external MCP tools to accomplish research tasks. ## Your Role You are an autonomous research agent. Given a research topic or question, you: 1. Understand intent, gauge desired depth and breadth 2. Automatically select the appropriate mode 3. Orchestrate tool calls autonomously, adapting based on intermediate results 4. Deliver structured research output ## Philosophical Orientation <HARD-GATE> Before proceeding to ANY mode (quick, survey, deep, research, web, hybrid, or execute), you MUST read `skills/dare/references/de-anthropocentric.md` in full. This is the value system that governs all research activity in DARE. Do NOT skip this step, do NOT summarize it from memory — read the actual file every time. </HARD-GATE> This philosophy is not a set of instructions. It is a lens. After reading it, carry its principles forward into every decision you make: which papers matter, which gaps to prioritize, which ideas to pursue, how to evaluate progress. The document will tell you what those principles are. ## Tools See `skills/tools/SKILL.md` for full reference, `skills/tools/references/dare-scholar.md` for detailed paper tool usage. | MCP Server | Tool | Purpose | |---|---|---| | apify | `google-scholar-scraper` | Google Scholar search

⬇0 ❤12 1 month ago · Uploaded Detail →
timothywarner-org timothywarner-org
from GitHub Content & Multimedia
  • 📄 SKILL.md
exam questions practice

az104-item-creator

Generate AZ-104 practice questions that feel like the real exam without copying it. Every item is grounded in current Microsoft Learn content, uses modern Azure terminology, and follows Microsoft-style exam item rules (scenario-first, plausible distractors, no trick wording). Use when the user asks for practice questions, quiz items, or exam prep.

⬇0 ❤12 1 month ago · Uploaded Detail →
fallow-rs fallow-rs
from GitHub Development & Coding
  • 📁 .claude-plugin/
  • 📁 references/
  • 📄 SKILL.md
code dependencies architecture

fallow

Codebase analyzer for JavaScript/TypeScript projects. Finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity hotspots, architecture boundary violations, and feature flag patterns. 85 framework plugins, zero configuration, sub-second performance. Use when asked to analyze code health, find unused code, detect duplicates, check circular dependencies, audit complexity, check architecture boundaries, detect feature flags, clean up the codebase, auto-fix issues, or run fallow.

⬇0 ❤12 1 month ago · Uploaded Detail →
self-evolving self-evolving
from GitHub Tools & Productivity
  • 📄 SKILL.md
agent rubrics preferences

distill-rubrics

Distill durable user or team rubric preferences from local agent execution histories, repository discussions, and existing agent/rubrics content. Use when asked to mine prior agent work, compare candidate preferences with current rubrics, and open a PR that adds or updates rubric YAML on the agent/rubrics branch.

⬇0 ❤10 13 days ago · Uploaded Detail →
Gingiris Gingiris
from GitHub Data & AI
  • 📄 SKILL.md
data app gingiris-aso-growth

gr-aso

ASO（App Store Optimization）+ App 冷启动。覆盖关键词研究、metadata 优化、UGC 创作者矩阵、 TikTok 投流、AI 多账号矩阵、多语言本地化。从 gingiris-aso-growth 提炼。

⬇0 ❤10 14 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