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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
axeldelafosse axeldelafosse
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 scripts/
  • 📄 SKILL.md
frontend backend loop

clean-vm

Safely clean the local loop VM by reporting and removing stale loop runs, inactive Next.js or Storybook servers, optional browser windows, and unused loop-created worktrees without disturbing active tmux-backed sessions.

⬇0 ❤214 23 days ago · Uploaded Detail →
flpbalada flpbalada
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 templates/
  • 📄 SKILL.md
automation data browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

⬇0 ❤204 17 days ago · Uploaded Detail →
TYH-labs TYH-labs
from GitHub Data & AI
  • 📁 .claude-plugin/
  • 📁 demos/
  • 📁 images/
  • 📄 .gitignore
  • 📄 AGENTS.md
  • 📄 gemini-extension.json
training when unsloth

unsloth-buddy

This skill should be used when users want to fine-tune language models or perform reinforcement learning (SFT, DPO, GRPO, ORPO, KTO, SimPO) using the highly optimized Unsloth library. Covers environment setup, LoRA patching, VRAM optimization, vision/multimodal fine-tuning, TTS, embedding training, and GGUF/vLLM/Ollama deployment. Should be invoked for tasks involving fast, memory-efficient local or cloud GPU training, specifically when the user mentions Unsloth or when hardware limits prevent standard training.

⬇0 ❤201 17 days ago · Uploaded Detail →
DefangLabs DefangLabs
from GitHub Ops & Delivery
  • 📄 SKILL.md
devops authentication deployment

defang

Deploy the current project to the cloud using Defang. Guides through CLI setup, authentication, compose file creation, stack selection, config management, and deployment.

⬇0 ❤151 6 days ago · Uploaded Detail →
hashgraph-online hashgraph-online
from GitHub Tools & Productivity
  • 📁 .github/
  • 📁 bin/
  • 📁 examples/
  • 📄 .gitignore
  • 📄 .zenodo.json
  • 📄 apis.json
agents automation registry

registry-broker

Search and chat with AI agents across the Universal Agentic Registry via the Hashgraph Online Registry Broker API. Use when discovering agents, starting conversations, finding incoming messages, or registering new agents.

⬇0 ❤197 16 days ago · Uploaded Detail →
ucsandman ucsandman
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
dashclaw data ai

dashclaw-platform-intelligence

DashClaw platform expert for integration, troubleshooting, and governance. Use when working with DashClaw APIs/SDKs: instrumenting agents, action recording, guard/policy checks, SSE real-time events, org/workspace context, auth headers (x-api-key), errors (401/403/429/503), building API routes, generating SDK/client methods, bootstrapping agent data, configuring evaluations/scorers, prompt templates/versioning, feedback capture, compliance exports, drift monitoring, learning analytics/velocity, scoring profiles, risk templates, CLI approval channel, terminal approvals, dashclaw approve, dashclaw approvals, dashclaw deny, Claude Code hooks, PreToolUse, PostToolUse, governed tool calls, DASHCLAW_HOOK_MODE, terminal governance.

⬇0 ❤201 18 days ago · Uploaded Detail →
edinetdb edinetdb
from GitHub Data & AI
  • 📄 sector-wacc.md
  • 📄 SKILL.md
value intrinsic valuation

dcf-valuation

Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share for Japanese listed companies. Triggers when user asks for fair value, intrinsic value, DCF, valuation, "what is X worth", price target, undervalued/overvalued analysis, or wants to compare current price to fundamental value.

⬇0 ❤203 18 days ago · Uploaded Detail →
rllm-org rllm-org
from GitHub Content & Multimedia
  • 📄 SKILL.md
through create design

hive-create-task

Design and create a new hive task through guided conversation. Walks the user through problem definition, eval design, constraint specification, repo scaffolding, baseline testing with iteration, and upload. Use when user wants to create a new task, add a benchmark, or publish a challenge to the swarm.

⬇0 ❤206 21 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