Daily Featured Skills Count
4,564 4,605 4,651 4,689 4,727 4,753 4,761
04/25 04/26 04/27 04/28 04/29 04/30 05/01
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
crafter-station crafter-station
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 README.md
  • 📄 SKILL.md
agents.md automation intent

intent-layer

Set up hierarchical Intent Layer (AGENTS.md files) for codebases. Use when initializing a new project, adding context infrastructure to an existing repo, user asks to set up AGENTS.md, add intent layer, make agents understand the codebase, or scaffolding AI-friendly project documentation. --- # Intent Layer Hierarchical AGENTS.md infrastructure so agents navigate codebases like senior engineers. ## Core Principle **Only ONE root context file.** CLAUDE.md and AGENTS.md should NOT coexist at project root. Child AGENTS.md in subdirectories are encouraged for complex subsystems. ## Workflow ``` 1. Detect state scripts/detect_state.sh /path/to/project → Returns: none | partial | complete 2. Route none/partial → Initial setup (steps 3-5) complete → Maintenance (step 6) 3. Measure [gate - show table first] scripts/analyze_structure.sh /path/to/project scripts/estimate_tokens.sh /path/to/each/source/dir 4. Decide No root file → Ask: CLAUDE.md or AGENTS.md? Has root file → Add Intent Layer section + child nodes if needed 5. Execute Use references/templates.md for structure Use references/node-examples.md for real-world patterns

⬇0 ❤37 1 month ago · Uploaded Detail →
jonathanmalkin jonathanmalkin
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
automation data browser

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 ❤37 1 month ago · Uploaded Detail →
Stars-OC Stars-OC
from GitHub Tools & Productivity
  • 📁 docs/
  • 📁 prompts/
  • 📁 references/
  • 📄 .gitignore
  • 📄 .openskills.json
  • 📄 CONTRIBUTING.md
automation 支持从选题到交稿 毕业论文全流程写

thesis-creator

面向中国本科生的毕业论文全流程写作辅助系统。支持从选题到交稿的端到端工作流，包含降重优化、AIGC 降低和本地检测功能。用户说「帮我写论文」或「帮我降重」等时触发。

⬇0 ❤34 18 days ago · Uploaded Detail →
eranshir eranshir
from GitHub Data & AI
  • 📄 SKILL.md
data stress-testing truth-seeking

challenger

Truth-seeking sparring partner. Challenges claims, decisions, and documents through structured dialectical analysis. Use when: stress-testing a thesis, making a decision, reviewing a strategy, or seeking rigorous feedback on any assertion.

⬇0 ❤36 24 days ago · Uploaded Detail →
bearlike bearlike
from GitHub Tools & Productivity
  • 📄 SKILL.md
cli automation session

truss-cli-smoketest

End-to-end smoke testing of the Truss CLI via tmux. Use this skill when asked to test the CLI, verify CLI behavior after changes, smoke-test the agent loop, check for regressions, or validate MCP/plugin/session features work correctly through the terminal interface. Also use when debugging CLI crashes, MCP connection issues, or session lifecycle problems that need live reproduction.

⬇0 ❤32 14 days ago · Uploaded Detail →
breath57 breath57
from GitHub Data & AI
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
表格 dingtalk 多维表格

dingtalk-ai-table

钉钉 AI 表格（多维表格）操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。

⬇0 ❤37 1 month ago · Uploaded Detail →
davidromeo davidromeo
from GitHub Business & Operations
  • 📁 references/
  • 📄 SKILL.md
performance strategies strategy

tradeblocks-compare

Performance comparison for trading strategies. Compare backtest vs actual results, strategy vs strategy metrics, or period vs period performance. Use when exploring differences between theoretical and live execution, understanding how two strategies relate, or analyzing performance across time periods.

⬇0 ❤37 1 month ago · Uploaded Detail →
kastelldev kastelldev
from GitHub Testing & Security
  • 📁 .github/
  • 📁 .supply-chain-risk-auditor/
  • 📁 assets/
  • 📄 .gitignore
  • 📄 .npmignore
  • 📄 .prettierrc
security hardening backend

kastell

Server security auditing, hardening, and fleet management. 457 security checks across 30 categories (SSH, Firewall, Docker, TLS, HTTP Headers), CIS/PCI-DSS/HIPAA compliance mapping, 24-step production hardening, and 13 MCP tools. Supports Hetzner, DigitalOcean, Vultr, and Linode with Coolify, Dokploy, and bare VPS modes. Install: claude plugins add kastell

⬇0 ❤37 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