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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
SynkraAI SynkraAI
from GitHub Development & Coding
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
decisions before docs

architect-first

Guide for implementing the Architect-First development philosophy - perfect architecture, pragmatic execution, quality guaranteed by tests. Use this skill when starting new features, refactoring systems, or when architectural decisions are needed. Enforces non-negotiables like complete design/documentation before code, zero coupling, and validation by multiple perspectives before structural decisions.

⬇0 ❤2.7K 8 days ago · Uploaded Detail →
dontbesilent2025 dontbesilent2025
from GitHub Tools & Productivity
  • 📄 SKILL.md
claude ai chatroom-austrian

chatroom-austrian

哈耶克 × 米塞斯 × Claude 三人对话。奥派经济学视角的多角色讨论。 触发方式：/chatroom-austrian、/奥派、「奥派聊天室」 Austrian economics chatroom. Hayek × Mises × Claude debate.

⬇0 ❤2.2K 6 days ago · Uploaded Detail →
thinking-machines-lab thinking-machines-lab
from GitHub Development & Coding
  • 📁 evals/
  • 📁 references/
  • 📄 SKILL.md
tinker hyperparameters model

core

Core guide for using the Tinker API — installation, model selection, SDK basics, types, CLI, and hyperparameters. Use this skill whenever the user asks about getting started with Tinker, choosing a model, using the SDK, API types, CLI commands, or tuning hyperparameters. This is the foundational skill — trigger it for any general Tinker question.

⬇0 ❤3K 13 days ago · Uploaded Detail →
therealXiaomanChu therealXiaomanChu
from GitHub Content & Multimedia
  • 📁 docs/
  • 📁 prompts/
  • 📁 tools/
  • 📄 .gitignore
  • 📄 INSTALL.md
  • 📄 LICENSE
relationship persona memory

create-ex

Distill an ex-partner into an AI Skill. Import WeChat history, photos, social media posts, generate Relationship Memory + Persona, with continuous evolution. | 把前任蒸馏成 AI Skill，导入微信聊天记录、照片、朋友圈，生成 Relationship Memory + Persona，支持持续进化。

⬇0 ❤2.8K 11 days ago · Uploaded Detail →
openchamber openchamber
from GitHub Databases & Storage
  • 📄 SKILL.md
ai openchamber formatting

clack-cli-patterns

Use when creating or modifying terminal CLI commands, prompts, or output formatting in OpenChamber. Enforces Clack UX standards with strict parity and safety across TTY/non-TTY, --quiet, and --json modes.

⬇0 ❤2.7K 11 days ago · Uploaded Detail →
haydenbleasel haydenbleasel
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
ultracite formatting linting

ultracite

Ultracite is a zero-config linting and formatting preset for JavaScript/TypeScript projects. Use when: (1) Setting up or initializing Ultracite in a project (ultracite init), (2) Running linting or formatting commands (check, fix, doctor), (3) Writing or reviewing JS/TS code in a project that uses Ultracite — to follow its code standards, (4) Troubleshooting linting/formatting issues, (5) User mentions 'ultracite', 'lint', 'format', 'code quality', or 'biome/eslint/oxlint' in a project with Ultracite installed.

⬇0 ❤2.8K 11 days ago · Uploaded Detail →
nuxt-content nuxt-content
from GitHub Docs & Knowledge
  • 📁 references/
  • 📄 SKILL.md
docs install add

create-docs

Create complete documentation sites for projects. Use when asked to: "create docs", "add documentation", "setup docs site", "generate docs", "document my project", "write docs", "initialize documentation", "add a docs folder", "create a docs website". Generates Docus-based sites with search, dark mode, MCP server, and llms.txt integration. --- # Create Docs Generate a complete, production-ready documentation site for any project. ## Workflow 1. **Analyze** - Detect package manager, monorepo structure, read context 2. **Initialize** - Create docs directory with correct setup 3. **Generate** - Write documentation pages using templates 4. **Configure** - Set up AI integration (MCP, llms.txt) 5. **Finalize** - Provide next steps with correct commands --- ## Package Manager Reference Detect from lock files, default to npm if none found: | Lock File | PM | Install | Run | Add | |-----------|------|---------|-----|-----| | `pnpm-lock.yaml` | pnpm | `pnpm install` | `pnpm run` | `pnpm add` | | `package-lock.json` | npm | `npm install` | `npm run` | `npm install` | | `yarn.lock` | yarn | `yarn install` | `yarn` | `yarn add` | | `bun.lockb` | bun | `bun install` | `bun run` | `bun add` | Use `[pm]` as placeholder in commands below. --- ## Step 1: Analyze Project ### Detect Project Structure ```

⬇0 ❤2.7K 11 days ago · Uploaded Detail →
lijigang lijigang
from GitHub Content & Multimedia
  • 📁 assets/
  • 📁 references/
  • 📄 package-lock.json
  • 📄 package.json
  • 📄 SKILL.md
sketchnote whiteboard content

ljg-card

Content caster (铸). Transforms content into PNG visuals. Six molds: -l (default) long reading card, -i infograph, -m multi-card reading cards (1080x1440), -v visual sketchnote, -c comic (manga-style B&W), -w whiteboard (marker-style board layout). Output to ~/Downloads/. Use when user says '铸', 'cast', '做成图', '做成卡片', '做成信息图', '做成海报', '视觉笔记', 'sketchnote', '漫画', 'comic', 'manga', '白板', 'whiteboard'. Replaces ljg-cards and ljg-infograph.

⬇0 ❤2.7K 11 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