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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Extra-Chill Extra-Chill
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation data datamachine

data-machine

AI-powered WordPress operations engine. System tasks for site health (SEO, images, links, performance). Pipelines for automated content workflows. Agent memory for persistent context. Discover everything via wp help datamachine.

⬇0 ❤21 1 month ago · Uploaded Detail →
Sora-bluesky Sora-bluesky
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
researcher orchestra reviewer

orchestra-layout

Deterministic psmux grid layout creation for Orchestra multi-agent configurations. Creates Builder/Researcher/Reviewer pane grids in one command using percentage-based splits. Use this skill whenever setting up Orchestra panes, creating multi-agent layouts, configuring builder/researcher/reviewer grids, or any request involving "pane layout", "Orchestra setup", "split panes", "create grid", or specifying agent counts like "4 builders 1 researcher 1 reviewer". Always use this instead of manually running split-window commands — manual pane creation wastes tokens and is unreliable due to psmux resize bugs (psmux/psmux#171).

⬇0 ❤21 1 month ago · Uploaded Detail →
korolevpavel korolevpavel
from GitHub Tools & Productivity
  • 📄 SKILL.md
cmycloud.com gitlab merge

xbsl-deploy

Используй этот скилл для любых операций с приложениями на платформе 1С:Предприятие.Элемент (1cmycloud.com): создать приложение, задеплоить ветку из внешнего git-репозитория (GitHub, GitLab и др.), обновить, проверить статус, запустить, остановить, удалить, принять изменения (merge). Вызывай скилл всякий раз, когда пользователь упоминает деплой, запуск, остановку или управление приложением на Элементе — даже если он не говорит явно "задеплой", а просто спрашивает "как дела с приложением" или "смёрджи ветку".

⬇0 ❤21 1 month ago · Uploaded Detail →
QuantumBFS QuantumBFS
from GitHub Development & Coding
  • 📄 extract_dialog.py
  • 📄 SKILL.md
graesser dialog ai

conversation-dump

Use when analyzing conversation patterns — extracts dialog from Claude Code or Codex CLI history, classifies each user message across 6 academic dimensions (Bloom's cognitive level, Graesser question depth, Paul & Elder reasoning probe, Walton presupposition quality, Long & Sato discourse function, Graesser generation mechanism), and outputs tagged dialog reports

⬇0 ❤21 1 month ago · Uploaded Detail →
Labhund Labhund
from GitHub Development & Coding
  • 📄 SKILL.md
backend wiki automation

llm-wiki-setup

One-time integration: set up the llm-wiki daemon, configure backend profiles, register the MCP server with an agent framework, and handle conflicts with pre-MCP wiki skills. Triggers: 'set up llm wiki', 'integrate llm-wiki', 'configure wiki MCP', 'register wiki server'.

⬇0 ❤19 18 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