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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
checkly checkly
from GitHub Ops & Delivery
  • 📁 onboarding-boilerplate/
  • 📁 onboarding-prompts/
  • 📁 references/
  • 📄 context.fixtures.json
  • 📄 context.ts
  • 📄 README.md
monitors checks dashboards

checkly

Set up, create, test and manage monitoring checks using the Checkly CLI. Use when working with API Checks, Browser Checks, URL Monitors, ICMP Monitors, Playwright Check Suites, Heartbeat Monitors, Alert Channels, Dashboards, or Status Pages.

⬇0 ❤92 26 days ago · Uploaded Detail →
ab604 ab604
from GitHub Data & AI
  • 📄 SKILL.md
bayesian data multilevel

r-bayes

Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.

⬇0 ❤89 21 days ago · Uploaded Detail →
MinaSaad1 MinaSaad1
from GitHub Data & AI
  • 📄 SKILL.md
data dax measures

Power BI DAX

Write, execute, and optimize DAX queries and measures for Power BI semantic models using pbi-cli. Invoke this skill whenever the user mentions DAX, queries data in Power BI, writes calculations, creates measures, asks about EVALUATE, SUMMARIZECOLUMNS, CALCULATE, time intelligence, or wants to analyze/aggregate data from a semantic model. Also invoke when the user asks to run a query, test a formula, or check row counts. This skill contains critical guidance on passing DAX expressions via CLI arguments -- multi-line DAX (VAR/RETURN) requires special handling.

⬇0 ❤88 21 days ago · Uploaded Detail →
microsoft microsoft
from GitHub Business & Operations
  • 📄 README.md
  • 📄 SKILL.md
data owl rdf

ontology-catalog-import

Import customer or external RDF/OWL into this repo's catalogue format. Use when user drops an RDF/OWL file and wants it catalogue-ready (metadata, category, validation, compile).

⬇0 ❤90 25 days ago · Uploaded Detail →
NomaDamas NomaDamas
from GitHub Data & AI
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md
pipeline results data

autorag-query

Query AutoRAG-Research pipeline results using natural language. Converts questions to SQL, executes safely (SELECT-only), returns formatted results. Auto-detects DB connection from configs/db.yaml or env vars. Use for pipeline comparison, metrics analysis, token usage.

⬇0 ❤91 27 days ago · Uploaded Detail →
ErikHellman ErikHellman
from GitHub Tools & Productivity
  • 📄 SKILL.md
emulators android sdk

acli

Control the Android development environment: manage SDK packages, start/stop emulators, install APKs, stream device logs, take screenshots, and run Gradle builds. Use when the user wants to do anything with Android devices, emulators, or SDK tools.

⬇0 ❤91 27 days ago · Uploaded Detail →
jacob-bd jacob-bd
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 config.json
  • 📄 SKILL.md
ai synchronization project-level

universal-skills-manager

The master coordinator for AI skills. Discovers skills from multiple sources (SkillsMP.com, SkillHub, and ClawHub), manages installation, and synchronization across Claude Code, Gemini CLI, Google Anti-Gravity, OpenCode, and other AI tools. Handles User-level (Global) and Project-level (Local) scopes.

⬇0 ❤77 12 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