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3,909 3,920 3,927 3,966 4,007 4,057 4,069
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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
AbsolutelySkilled AbsolutelySkilled
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 evals.json
  • 📄 README.md
  • 📄 SKILL.md
agent automation backend

a2a-protocol

Use this skill when working with the A2A (Agent-to-Agent) protocol - agent interoperability, multi-agent communication, agent discovery, agent cards, task lifecycle, streaming, and push notifications. Triggers on any A2A-related task including implementing A2A servers/clients, building agent cards, sending messages between agents, managing tasks, and configuring push notification webhooks.

⬇0 ❤102 13 days ago · Uploaded Detail →
NVIDIA NVIDIA
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation actions graphql

github

Interact with GitHub using the gh CLI restricted to REST API only (no GraphQL). Use when the user wants to work with GitHub issues, pull requests, repos, releases, or Actions — especially in sandboxed environments where the GraphQL endpoint may be blocked. Trigger keywords - github, gh, pull request, PR, github issue, github actions, workflow, release, gh api.

⬇0 ❤98 13 days ago · Uploaded Detail →
AytuncYildizli AytuncYildizli
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 assets/
  • 📁 benchmarks/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 CONTRIBUTING.md
automation prompts ai

reprompter

Transform messy prompts into well-structured, effective prompts — single, multi-agent, or reverse-engineered from great outputs.

⬇0 ❤98 13 days ago · Uploaded Detail →
OriNachum OriNachum
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
automation docs ai

claude-code-guide

Ask any question about Claude Code features — setup, best practices, automation, models, plugins, MCP, configuration, and more. Reads relevant reference docs to give accurate, detailed answers.

⬇0 ❤98 13 days ago · Uploaded Detail →
nativ3ai nativ3ai
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 scripts/
  • 📁 tools/
  • 📄 SKILL.md
automation mirofish data

geopolitical-market-sim

PrediHermes, also named geopolitical-market-sim, tracks geopolitical topics, selects relevant open Polymarket contracts near deadline, generates MiroFish seed packets from WorldOSINT data, runs or inspects MiroFish simulations, and resolves historical branches or injected actors from local artifacts. Use this when the user wants PrediHermes, recurring geopolitical prediction-market monitoring, topic tracking, counterfactual actor injection, simulation comparison, or a local automation path from news + markets into MiroFish.

⬇0 ❤94 12 days ago · Uploaded Detail →
yoloshii yoloshii
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 agents/
  • 📁 bin/
  • 📄 .env.example
  • 📄 .gitignore
  • 📄 AGENTS.md
automation clawmem memory

clawmem

ClawMem agent reference — detailed operational guidance for the on-device hybrid memory system. Use when: setting up collections/indexing/embedding, troubleshooting retrieval, tuning query optimization (4 levers), understanding pipeline behavior, managing memory lifecycle (pin/snooze/forget), building graphs, or any ClawMem operation beyond basic tool routing.

⬇0 ❤93 12 days ago · Uploaded Detail →
yinxulai yinxulai
from GitHub Tools & Productivity
  • 📄 package-lock.json
  • 📄 package.json
  • 📄 SKILL.md
automation governance projitive

projitive

Projitive is an MCP-first governance skill for agent-driven delivery. Use this before changing task states or writing governance artifacts. Core flow: taskNext -> taskContext -> execute -> verify -> taskNext. Always prefer Projitive MCP methods for discovery, context, and proactive task advancement.

⬇0 ❤91 14 days ago · Uploaded Detail →
langchain-ai langchain-ai
from GitHub Development & Coding
  • 📄 SKILL.md
automation langchain langgraph

framework-selection

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.

⬇0 ❤86 12 days ago · Uploaded Detail →
forefy forefy
from GitHub Tools & Productivity
  • 📄 SKILL.md
automation yourself multi-agent

agent-onboarding

Onbard yourself to this repo that might have X number of other agents running on it. Whenever you are starting off or asked to onboard to team use this skill to give yourself extra awareness of multi-agent and worker context, as well as goals and identity.

⬇0 ❤89 13 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