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

denolfe denolfe
from GitHub Docs & Knowledge
  • 📄 rules-reference.md
  • 📄 SKILL.md

markdown-formatting

Format and lint markdown and MDX files using markdownlint with comprehensive rule knowledge for automated and manual fixes. Use when working with .md or .mdx files, formatting documentation, linting markdown/MDX, or when user mentions markdown issues, formatting problems, or documentation standards.

0 82 1 month ago · Uploaded Detail →
killvxk killvxk
from GitHub Docs & Knowledge
  • 📁 references/
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md

auto-weekly

This skill should be used when the user asks to generate weekly reports from git history, process document links, update markdown files with URL descriptions, or mentions "生成周报", "处理文档链接", "更新 docs.md". Automates weekly report generation by extracting URLs from git commits or source files, generating concise Chinese descriptions, and organizing them into markdown tables.

0 58 1 month ago · Uploaded Detail →
privatenumber privatenumber
from GitHub Development & Coding
  • 📄 SKILL.md

mdeval

Evaluates JavaScript in markdown HTML comments and interpolates results in-place. Use when editing markdown files that contain mdeval script blocks or value markers, when the user wants computed/dynamic values in markdown, or when maintaining README badges, version numbers, or stats.

0 55 1 month ago · Uploaded Detail →
nozomi-koborinai nozomi-koborinai
from GitHub Docs & Knowledge
  • 📄 SKILL.md

contextlint-fix

Run contextlint over the project's structured Markdown and fix the violations it detects. Use this skill whenever the user asks to fix lint errors, clean up docs, repair broken Markdown links, or after bulk edits to documentation (especially AI-generated specs/ADRs) — even if they don't explicitly mention contextlint by name. Handles broken cross-references, missing required sections, empty table cells, leftover placeholders (TODO/TBD), and circular dependency references across the documentation graph. Reach for this any time the user mentions doc integrity, broken refs, or wants their Markdown checked.

0 32 7 days ago · Uploaded Detail →
maypaz maypaz
from GitHub Docs & Knowledge
  • 📄 package.json
  • 📄 SKILL.md

publish-to-mdpage

Turn any markdown into a shareable web page via md.page. Use when the user asks to "share this", "publish this markdown", "create a shareable link", "make this a web page", "send this as a link", "host this", or wants to turn any markdown content into a URL. Also triggers on "publish a report", "share my notes", "create a page", or any request to make content accessible via a link.

0 45 1 month ago · Uploaded Detail →
dracohu2025-cloud dracohu2025-cloud
from GitHub Docs & Knowledge
  • 📁 assets/
  • 📁 scripts/
  • 📁 tests/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 README.md

article-to-wechat-cover

从飞书文档或本地 Markdown 提炼文章主题与风格,调用 OpenRouter 的 Nano Banana / Gemini Flash Image 生成 2.35:1 的微信公众号封面图,并可选上传为微信封面素材。

0 44 1 month ago · Uploaded Detail →
faugustdev faugustdev
from GitHub Data & AI
  • 📁 examples/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 CONTRIBUTING.md
  • 📄 LICENSE

gcc

Git Context Controller (GCC) v2 — Lean agent memory backed by real git. Stores hash + intent + optional decision notes instead of verbose markdown. Auto-bridges to aiyoucli vector memory when available. Dual mode: git-backed (lean index.yaml) or standalone (markdown fallback). Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.

0 37 1 month ago · Uploaded Detail →
Ricardo-Ping Ricardo-Ping
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 agents/
  • 📁 config/
  • 📄 .gitignore
  • 📄 README.md
  • 📄 SKILL.md

agent-daily-paper

支持用户按一个或多个研究领域订阅 arXiv 最新论文,按重要性排序并以中英双语卡片形式推送(英文标题/中文标题/英文摘要/中文摘要/arXiv 链接)。支持每领域独立数量上限(5-20)、关键词高亮、NEW/UPDATED 版本标识、Markdown 存档,以及定时推送与即时推送双路径。首次使用时先完成订阅配置;领域可由 Agent 画像 JSON 自动补全英文名、关键词与会议列表。

0 15 1 month ago · Uploaded Detail →
ultimatile ultimatile
from GitHub Docs & Knowledge
  • 📁 arxiv_doc_builder/
  • 📁 references/
  • 📄 pyproject.toml
  • 📄 SKILL.md

arxiv-doc-builder

Automatically convert arXiv papers to well-structured Markdown documentation. Invoke with an arXiv ID to fetch materials (LaTeX source or PDF), convert to Markdown, and generate implementation-ready reference documentation with preserved mathematics and section structure.

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