Daily Featured Skills Count
4,442 4,483 4,524 4,564 4,605 4,651 4,684
04/22 04/23 04/24 04/25 04/26 04/27 04/28
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

countbot-ai countbot-ai
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
  • 📄 安装与配置手册.md

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

0 251 28 days ago · Uploaded Detail →
gaoyangz77 gaoyangz77
from GitHub Data & AI
  • 📄 SKILL.md

update-vendor

Update vendor/openclaw to a specific commit, replay EasyClaw's vendor patch stack with AI review, rebuild, test, and decide whether each patch still belongs. Use when asked to upgrade, update, or pin vendor/openclaw to a new version or commit hash.

0 252 29 days ago · Uploaded Detail →
gavdalf gavdalf
from GitHub Data & AI
  • 📁 config/
  • 📁 docs/
  • 📁 dream-cycle/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CODE_OF_CONDUCT.md

total-recall

The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you to remember to remember, this one just pays attention.

0 248 26 days ago · Uploaded Detail →
alchaincyf alchaincyf
from GitHub Research & Analysis
  • 📁 assets/
  • 📁 docs/
  • 📄 README.md
  • 📄 README_EN.md
  • 📄 showcase.html

darwin-skill

Autonomous skill optimizer inspired by Karpathy's autoresearch. Evaluates SKILL.md files using an 8-dimension rubric (structure + effectiveness), runs hill-climbing with git version control, and validates improvements through test prompts. Use when user mentions "优化skill", "skill评分", "自动优化", "auto optimize skills", "skill质量检查", "这个skill写得不好", "帮我改改skill", "skill怎么样", "提升skill质量", "skill review", "skill打分".

0 219 13 days ago · Uploaded Detail →
ScottRBK ScottRBK
from GitHub Docs & Knowledge
  • 📄 SKILL.md

curating-memories

Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information supersedes old, or when building knowledge graph connections.

0 246 26 days ago · Uploaded Detail →
cclank cclank
from GitHub Content & Multimedia
  • 📁 references/
  • 📁 scripts/
  • 📄 convert_cookies.py
  • 📄 requirements.txt
  • 📄 SKILL.md

jianying-video-gen

使用剪映(Jianying/小云雀)的 Seedance 2.0 模型自动生成AI视频。支持文生视频(T2V)、图生视频(I2V)、参考视频生成(V2V)和向后延伸(Extend)四种模式。当用户需要生成AI视频、使用Seedance模型创作短片、基于参考图像/视频进行风格转换,或对已有结果继续延长时使用此技能。需要预先配置 cookies.json 登录凭证。

0 241 23 days ago · Uploaded Detail →
ussumant ussumant
from GitHub Docs & Knowledge
  • 📁 adapters/
  • 📄 SKILL.md

wiki-compiler

Core compilation algorithm for the LLM Wiki Compiler. Reads source files from configured directories and compiles them into topic-based wiki articles. Supports both knowledge mode (markdown files) and codebase mode (code repositories). Called by /wiki-compile command.

0 195 10 days ago · Uploaded Detail →
IgorWarzocha IgorWarzocha
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

gh-issue-pr-flow

Runs this repo's GitHub issue and PR workflow with gh. Use when the user mentions issue numbers, PR links, or the project board, asks to pick a manageable issue, wants an issue rewritten into a proper issue, wants backlog triage or relabeling, or wants a PR opened, updated, or reviewed. Do not use for local-only git work with no GitHub issue or project flow.

0 37 1 day ago · Uploaded Detail →
0xranx 0xranx
from GitHub Docs & Knowledge
  • 📄 SKILL.md

researcher

Research analyst in a multi-bot group chat — synthesizes background information, fact-checks claims, identifies knowledge gaps, and suggests next steps. Use when the conversation needs context, a factual claim needs verification, someone asks for background research, or a discussion lacks supporting evidence.

0 241 25 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