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

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
MidnightV1 MidnightV1
from GitHub Research & Analysis
  • 📁 config/
  • 📁 prompts/
  • 📁 scripts/
  • 📄 SKILL.md
paper research tracking

arxiv-tracker

Track and filter arXiv papers by research topics and keywords. Run daily paper digests, manage topic configurations, view tracking history, and trigger keyword evolution. Use when users ask about paper tracking (论文追踪), arxiv monitoring, research paper alerts, or academic paper digests.

⬇0 ❤20 10 days ago · Uploaded Detail →
hongdangmoo49 hongdangmoo49
from GitHub Docs & Knowledge
  • 📄 SKILL.md
documents organize vault

obsidian-vault-manager

Manage the Obsidian vault structure, organize documents, add new files, and maintain the team's knowledge base. Use this skill when the user wants to organize, categorize, or restructure their vault contents, or when adding new documents that need proper placement.

⬇0 ❤16 5 days ago · Uploaded Detail →
jcouv jcouv
from GitHub Tools & Productivity
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
prd feature requirements

create-prd

Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.

⬇0 ❤16 6 days ago · Uploaded Detail →
snyk snyk
from GitHub Data & AI
  • 📄 SKILL.md
data security python

ai-inventory

Generate and analyze AI Bill of Materials (AIBOM) for Python projects using AI/ML components. Identifies AI models, datasets, tools, and frameworks for security and compliance tracking.

⬇0 ❤22 14 days ago · Uploaded Detail →
dev-five-git dev-five-git
from GitHub Development & Coding
  • 📁 .changepacks/
  • 📁 .github/
  • 📁 crates/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 Cargo.lock
python fastapi-like derivation

vespera

Build APIs with Vespera - FastAPI-like DX for Rust/Axum. Covers route handlers, Schema derivation, and OpenAPI generation.

⬇0 ❤25 27 days ago · Uploaded Detail →
mcs-cli mcs-cli
from GitHub Docs & Knowledge
  • 📁 references/
  • 📄 SKILL.md
docs ai architectural

continuous-learning

Extracts reusable knowledge (debugging discoveries, architectural decisions, conventions) from work sessions and saves them as structured memory files in .claude/memories/. Also use when the user asks to "run a retrospective", "extract learnings", or "save what we learned" from the current session.

⬇0 ❤21 12 days ago · Uploaded Detail →
ZeroZ-lab ZeroZ-lab
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation when onboarding

auto-skill-fit

扫描项目技术栈，推荐并安装匹配的 agent skills 套装。Use when starting a new project, onboarding to a codebase, or when the user asks "what skills should I install", "recommend skills for this project", "auto setup skills".

⬇0 ❤10 2 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