Daily Featured Skills Count
4,689 4,727 4,753 4,784 4,818 4,870 4,879
04/28 04/29 04/30 05/01 05/02 05/03 05/04
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Genuifx Genuifx
from GitHub Data & AI
  • 📄 .gitignore
  • 📄 LICENSE
  • 📄 README.md
使其听起来更自然 检测并修复以下模 过多的连接性短语

humanizer-zh

去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。

⬇0 ❤15 29 days ago · Uploaded Detail →
syphax syphax
from GitHub Development & Coding
  • 📄 bridge.py
  • 📄 claude-bridge-answer.sh
  • 📄 claude-bridge-dispatch.sh
tasks ai communication

claude-code-bridge

Dispatch coding tasks to Claude Code with two-way communication. Send tasks, receive status updates, answer clarifying questions, and get results.

⬇0 ❤15 29 days ago · Uploaded Detail →
meteora-pro meteora-pro
from GitHub Tools & Productivity
  • 📁 bin/
  • 📁 lib/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 GLOSSARY.md
  • 📄 README.md
session automation patterns

analyze-usage

Analyze higher-level patterns in Claude Code usage. Outputs (a) graphic monthly/weekly digest with metaphors — aquarium of biomes (🐋🦈🐬🐟🦐🦠), archetypes (⚙️🔬🌐🛠📝🔍🏗💬), rhythm, stack palette, DORA radar (CFR + lead time + pushes), friction (compacts/pivots/subagents); (b) per-session parquet bundles for further analysis (biome, archetype, rhythm, growth, milestones, idle gaps, subagent pyramids, compact patterns, parallelism, burst classes, topics). Use when the user asks about weekly/monthly reports, session biomes, productivity profiles, "what kind of work was done", when a session became a whale, DORA metrics, or wants drill-down view of a specific session.

⬇0 ❤12 11 days ago · Uploaded Detail →
SponsioLabs SponsioLabs
from GitHub Tools & Productivity
  • 📄 SKILL.md
sponsio plugin sponsio-claude-code

setup

Configure the sponsio-claude-code runtime end-to-end — bootstrap the per-plugin contract library tree at ~/.sponsio/plugins/, install bundled starter libraries for popular MCP servers (github, filesystem, playwright), generate fresh starter libraries for plugins / MCP servers that don't ship one (via `sponsio plugin scan`), tune the shipped rules to the user's actual environment (workspace path, expected call volume, dev/CI/prod profile), and verify with a smoke test. Use when the user says any of "set up sponsio-claude-code", "configure sponsio-claude-code", "install the plugin", "first-time setup of sponsio", "wire up sponsio in this Claude Code session", "add Sponsio guardrails for my MCP tools", "tune the plugin for my environment", "the plugin is too strict / too loose", "calibrate sponsio rules", "scan this plugin", "generate sponsio rules for X", "create a contract library for my plugin", "I just installed Y plugin / MCP server, what should sponsio block", or asks how to make sponsio-claude-code actually block things.

⬇0 ❤10 7 days ago · Uploaded Detail →
oxgeneral oxgeneral
from GitHub Tools & Productivity
  • 📄 SKILL.md
agents agent orchestrator

orch

AI agent orchestrator — manage teams of AI agents that work on your codebase in parallel. Use when the user wants to: run multiple agents, coordinate AI work, deploy agent teams, manage tasks/goals/agents, check orchestrator status, or mentions 'orch', 'orchestry', 'agents team', 'agent orchestration'.

⬇0 ❤15 1 month ago · Uploaded Detail →
cosmonic-labs cosmonic-labs
from GitHub Content & Multimedia
  • 📄 SKILL.md
wasmcloud cosmonic diagrams

brand-guidelines

Brand guidelines for Cosmonic and wasmCloud. Use this skill when creating visual content, presentations, websites, diagrams, or any materials that need to follow Cosmonic or wasmCloud brand standards. Includes an Excalidraw library for diagrams.

⬇0 ❤15 1 month ago · Uploaded Detail →
OpenLinkSoftware OpenLinkSoftware
from GitHub Databases & Storage
  • 📁 references/
  • 📄 LICENSE.txt
  • 📄 SKILL.md
database data query

data-twingler

Execute SQL, SPARQL, SPASQL, SPARQL-FED, and GraphQL queries against live data spaces and knowledge graphs via OpenLink's OpenAPI-compliant web services. Use this skill whenever the user wants to query a database, RDF store, or SPARQL endpoint; explore a knowledge graph or data space; asks "How to ...", "Define the term ...", or poses a question against a known article or graph context; or mentions linkeddata.uriburner.com, Virtuoso, OPAL, or OpenLink services. Full query templates are in references/query-templates.md — load that file before constructing any predefined query.

⬇0 ❤15 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