Daily Featured Skills Count
4,651 4,689 4,727 4,753 4,784 4,818 4,833
04/27 04/28 04/29 04/30 05/01 05/02 05/03
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

SeventeenLabs SeventeenLabs
from GitHub Development & Coding
  • 📁 api/
  • 📁 examples/
  • 📁 templates/
  • 📄 LICENSE.txt
  • 📄 SKILL.md

electron

Provides comprehensive guidance for Electron framework including main process, renderer process, IPC communication, window management, and desktop app development. Use when the user asks about Electron, needs to create desktop applications, implement Electron features, or build cross-platform desktop apps.

0 82 29 days ago · Uploaded Detail →
okx okx
from GitHub Ops & Delivery
  • 📄 SKILL.md

okx-cex-bot

Manage Grid bots (spot/contract/coin-margined) and DCA Martingale bots (Spot DCA 现货马丁 / Contract DCA 合约马丁) on OKX. Covers create, stop, amend, monitor P&L, TP/SL, margin/investment adjustment, and AI-recommended parameters. Requires API credentials. Not for regular orders (okx-cex-trade), market data (okx-cex-market), or account info (okx-cex-portfolio).

0 82 29 days ago · Uploaded Detail →
sidequery sidequery
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

sidemantic-modeler

Build, validate, and manage semantic models using Sidemantic. Use when asked to create a semantic layer, define metrics/dimensions, model a database schema, generate models from SQL queries, import from Cube/dbt/LookML, or set up analytics definitions. Prioritizes CLI-first workflows, with YAML and optional Python API usage for advanced automation.

0 83 1 month ago · Uploaded Detail →
NakaokaRei NakaokaRei
from GitHub Tools & Productivity
  • 📄 SKILL.md

swift-auto-gui

Control macOS GUI applications via mouse automation, keyboard input, screenshots, image recognition, and AppleScript execution. Use when you need to interact with macOS app UIs, take screenshots, click buttons, type text, scroll, drag, or locate images on screen. --- # swift-auto-gui The `sagui` CLI provides mouse control, keyboard input, screenshot capture, image recognition, and screen queries for macOS automation. ## Prerequisites - **Accessibility**: Required for mouse and keyboard commands. Enable in System Settings > Privacy & Security > Accessibility. - **Screen Recording**: Required for screenshot and image recognition commands. Enable in System Settings > Privacy & Security > Screen Recording. ## Coordinates All coordinates use **CGWindow coordinate system** — logical points with origin at the **top-left of the primary display**. - x increases to the right - y increases downward - Values are in logical points (not pixels) Use `sagui screen size` to get screen dimensions. ## Commands ### key — Simulate keyboard input ```bash sagui key shortcut command c # Keyboard shortcut (Cmd+C) sagui key shortcut command shift a # Multi-modifier shortcut sagui key down shift # Press key without releasing sagui key up shift # Release a held key sagui key type "Hello, World!" # Type text character by character sagui key type "slow" --interval 0.1 # Type with delay between keystrokes ``` | Subcommand | Arguments | Optional | |---|---|---| | `shortcut` | `<keys...>` (key names) | | | `down` | `<key>` | | | `up` | `<key>` | | | `type` | `<text>` | `--interval <seconds>` (default: 0) | #### Supported key names **Modifiers**: `command`, `shift`, `rightShift`, `control`, `rightControl`, `option`, `rightOption`, `capsLock`, `function` **Letters**: `a`-`z` **Numbers**: `zero`-`nine` **Function keys**: `f1`-`f20` **Arrow keys**: `upArrow`, `downArrow`, `leftArrow`, `rightArrow` **Navigation**: `home`, `end`, `

0 81 27 days ago · Uploaded Detail →
aliramw aliramw
from GitHub Data & AI
  • 📁 examples/
  • 📁 references/
  • 📁 scripts/
  • 📄 .DS_Store
  • 📄 BENCHMARKS.md
  • 📄 CHANGELOG.md

dingtalk-ai-table

钉钉 AI 表格(多维表)操作技能。使用 mcporter CLI 连接钉钉官方新版 AI 表格 MCP server,基于 baseId / tableId / fieldId / recordId 体系执行 Base、Table、Field、Record 的查询与增删改。适用于创建 AI 表格、搜索表格、读取表结构、批量增删改记录、批量建字段、更新字段配置、按模板建表等场景。需要配置 DINGTALK_MCP_URL 或直接使用 Streamable HTTP URL。

0 82 1 month ago · Uploaded Detail →
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 →

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