Daily Featured Skills Count
3,840 3,909 3,920 3,927 3,966 4,007 4,027
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
jackculpan jackculpan
from GitHub Development & Coding
  • 📁 data/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 duffel_api.py
  • 📄 duffel_fmt.py
flights python data

flightclaw

Track flight prices using Google Flights data. Search flights, find cheapest dates, filter by airline/time/duration/price, track routes over time, and get alerts when prices drop. Also runs as an MCP server. Requires Python 3.10+ and the 'flights' and 'mcp' pip packages. Run setup.sh to install dependencies.

⬇0 ❤44 10 days ago · Uploaded Detail →
thrashr888 thrashr888
from GitHub Development & Coding
  • 📄 SKILL.md
security python commands

sandbox

Execute commands in isolated sandboxes for security. Use when running untrusted code, system commands, or operations that could affect the host system. Automatically detects the right runtime (Python, Node, Rust, Go, Ruby, etc.) from the command.

⬇0 ❤42 12 days ago · Uploaded Detail →
DotHarness DotHarness
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
python documentation development

dotcraft-dev-guide

Development guidelines for DotCraft project. Use this skill when developing DotCraft core features, adding new modules (including external channel adapters via AppServer/JRPC), modifying existing code, or writing documentation. Covers C# code style, tool naming (PascalCase for AI functions), module development norms (via spec), external channel extension with Python SDK, spec-first workflow, testing requirements, and bilingual documentation.

⬇0 ❤27 5 days ago · Uploaded Detail →
Jovancoding Jovancoding
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 adapters/
  • 📁 assets/
  • 📄 .clawhubignore
  • 📄 .env.example
  • 📄 .gitignore
automation python scripts

network-ai

Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context. The bundled Python scripts make no network calls and have zero third-party dependencies. Workflow delegations via the host platform's sessions_send may invoke external model APIs.

⬇0 ❤36 11 days ago · Uploaded Detail →
fractalmind-ai fractalmind-ai
from GitHub Tools & Productivity
  • 📁 .codex/
  • 📁 docs/
  • 📁 providers/
  • 📄 SKILL.md
agents python automation

agent-manager

Employee agent lifecycle management system. Use when working with agents/ directory employee agents - starting, stopping, monitoring, or assigning tasks to Dev/QA agents running in tmux sessions. Completely independent of CAO, uses only tmux + Python.

⬇0 ❤23 5 days ago · Uploaded Detail →
kvyb kvyb
from GitHub Development & Coding
  • 📁 agents/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
behavior runtime python

opentulpa-engineering

Enforce maintainable, testable, and robust engineering practices for the OpenTulpa codebase. Use when implementing features, refactors, bug fixes, or integrations in this repository, especially for LangGraph runtime, FastAPI routes, Telegram interfaces, scheduler/task flows, and memory/directive behavior. Apply this skill to plan separation-of-concerns changes, preserve runtime behavior, and run repository-specific quality gates and regression checks.

⬇0 ❤27 10 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 9 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