Daily Featured Skills Count
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
mindroom-ai mindroom-ai
from GitHub Tools & Productivity
  • 📄 examples.md
  • 📄 SKILL.md
automation separate agent

agent-cli-dev

Spawns AI coding agents in isolated git worktrees. Use when the user asks to spawn or launch an agent, delegate a task to a separate agent, work in a separate worktree, or parallelize development across features.

⬇0 ❤17 1 month ago · Uploaded Detail →
insightflo insightflo
from GitHub Tools & Productivity
  • 📁 __tests__/
  • 📄 SKILL.md
sprint checkpoint agile

agile

Agile Sprint Master for regular user check-ins and sprint management. Use this for /agile, /sprint, starting a sprint, checkpoint requests, or any time you are running structured iterative development. Triggers on "start sprint", "checkpoint", "sprint status", "run task", or whenever you need to manage layered build progress across Skeleton → Muscles → Skin.

⬇0 ❤17 1 month ago · Uploaded Detail →
memory-decay memory-decay
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 SKILL.md
memory-decay automation openclaw

install-memory-decay

Install and configure the memory-decay plugin for OpenClaw. Use when the user says "install memory-decay", "setup memory", "메모리 설치", "memory-decay 설치", or wants to add human-like memory with decay to their OpenClaw agent.

⬇0 ❤17 1 month ago · Uploaded Detail →
fagemx fagemx
from GitHub Docs & Knowledge
  • 📁 references/
  • 📄 SKILL.md
contribute-review issue docs

contribute-review

Use when a GitHub Issue with domain knowledge (gotcha, benchmark, forcing question, scoring calibration) needs to be integrated into a skill's references/ files. Reads the Issue, converts to proper format, checks for contradictions, creates a PR. Run as: /contribute-review #123 or /contribute-review scan.

⬇0 ❤17 1 month ago · Uploaded Detail →
egerev egerev
from GitHub Data & AI
  • 📁 agents/
  • 📁 codex/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CLAUDE.md
automation workflow docs

superflow

Use when user says 'superflow', 'суперфлоу', or asks for full dev workflow. Four phases: (0) project onboarding & CLAUDE.md bootstrap, (1) collaborative Product Discovery with multi-expert brainstorming and git workflow selection, (2) fully autonomous execution with selected PR/branch strategy, git worktrees, dual-model reviews, max parallelism, and verification discipline, (3) merge with documentation update.

⬇0 ❤17 1 month ago · Uploaded Detail →
AlanYu04 AlanYu04
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 assets/
  • 📁 core/
  • 📄 .gitignore
  • 📄 CLAUDE.md
  • 📄 LICENSE
chart architecture diagrams

excalidraw-generator

Use when user asks to draw, create, or generate diagrams, flowcharts, charts, architecture diagrams, wireframes, or visual illustrations. TRIGGER on "draw", "diagram", "flowchart", "chart", "pie chart", "bar chart", "line chart", "architecture diagram", "excalidraw", "visual", "wireframe", "comparison table", "画图", "流程图", "图表", "架构图", "示意图", "生成图", "做个图".

⬇0 ❤16 28 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