Daily Featured Skills Count
4,818 4,870 4,909 4,940 4,970 5,005 5,019
05/02 05/03 05/04 05/05 05/06 05/07 05/08
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

anthropics anthropics
from GitHub Development & Coding
  • 📁 references/
  • 📁 scripts/
  • 📄 LICENSE.txt
  • 📄 requirements.txt
  • 📄 SKILL.md

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

0 10.8K 1 month ago · Uploaded Detail →
BigBodyCobain BigBodyCobain
from GitHub Ops & Delivery
  • 📄 __init__.py
  • 📄 sb_alerts.py
  • 📄 sb_briefing.py

shadowbroker

Query the ShadowBroker OSINT intelligence platform for real-time geospatial intelligence, place AI intel pins on the map, manage autonomous monitoring, inject data into native layers, fetch satellite imagery, aggregate news, generate intelligence reports, and participate in the Wormhole mesh network. --- # ShadowBroker Intelligence Skill You have access to **ShadowBroker**, a real-time global OSINT intelligence platform running on `localhost:8000`. It tracks military flights, ships, satellites, SIGINT, earthquakes, fires, GDELT conflict events, prediction markets, and 30+ other data layers — all with geographic coordinates. ## How to Use This Skill

0 6K 5 days ago · Uploaded Detail →
huggingface huggingface
from GitHub Data & AI
  • 📄 SKILL.md

hf-mcp

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

0 10K 1 month ago · Uploaded Detail →
SawyerHood SawyerHood
from GitHub Tools & Productivity
  • 📄 SKILL.md

dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.

0 5.3K 1 month ago · Uploaded Detail →
agentscope-ai agentscope-ai
from GitHub Databases & Storage
  • 📁 scripts/
  • 📄 SKILL.md

file-sync

Sync files with centralized storage. Use when your coordinator or another Worker notifies you of file updates (config changes, task files, shared data, collaboration artifacts).

0 4K 1 month ago · Uploaded Detail →
jacob-bd jacob-bd
from GitHub Content & Multimedia
  • 📁 references/
  • 📄 AGENTS_SECTION.md
  • 📄 SKILL.md

nlm-skill

Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of \"nlm\", \"notebooklm\", \"notebook lm\", \"podcast generation\", \"audio overview\", or any NotebookLM-related automation task.

0 3.9K 1 month ago · Uploaded Detail →
alibaba alibaba
from GitHub Databases & Storage
  • 📁 scripts/
  • 📄 SKILL.md

file-sync

Sync files with centralized storage. Use when your coordinator or another Worker notifies you of file updates (config changes, task files, shared data, collaboration artifacts).

0 3.4K 1 month ago · Uploaded Detail →
datachain-ai datachain-ai
from GitHub Development & Coding
  • 📄 SKILL.md

datachain-core

Use ONLY for abstract DataChain SDK questions — API usage, method signatures, or code patterns — when no specific dataset or bucket is referenced. If the request mentions creating, saving, listing, exploring datasets or buckets, use datachain-knowledge instead.

0 2.7K 19 days ago · Uploaded Detail →
gadievron gadievron
from GitHub Testing & Security
  • 📄 hunt.md
  • 📄 map.md
  • 📄 SKILL.md

code-understanding

Provides adversarial code comprehension for security research, mapping architecture, tracing data flows, and hunting vulnerability variants to build ground-truth understanding before or alongside static analysis.

0 2.4K 1 month ago · Uploaded Detail →
cvs-health cvs-health
from GitHub Data & AI
  • 📁 .claude/
  • 📁 .github/
  • 📁 .vscode/
  • 📄 .gitignore
  • 📄 .swiftlint.yml
  • 📄 a11y-check-report.html

iOS SwiftUI Accessibility

Enforces WCAG 2.2 accessible coding patterns when writing SwiftUI — labels, traits, Dynamic Type, contrast, touch targets, focus management, and more. Based on the ios-swiftui-accessibility-techniques project with 31 static analysis rules across 17 WCAG criteria.

0 310 1 day 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