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Import Skills

Composite Most Downloads Most Likes Most Comments Newest
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 1 month ago · Uploaded Detail →
HybridAIOne HybridAIOne
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
data backend automation

datalion

Use for DataLion workflows such as listing, reading, creating, or editing projects, inspecting data sources, importing Excel or CSV data, working with reports and report tabs and codebooks, reading chart tables, or coordinating dashboard and export work through a configured datalion MCP server and related API or UI paths.

⬇0 ❤90 1 month 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 1 month ago · Uploaded Detail →
sidequery sidequery
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation database data

sidemantic-modeler

Build, validate, and manage semantic models using Sidemantic. Use when asked to create a semantic layer, define metrics/dimensions, model a database schema, generate models from SQL queries, import from Cube/dbt/LookML, or set up analytics definitions. Prioritizes CLI-first workflows, with YAML and optional Python API usage for advanced automation.

⬇0 ❤89 1 month ago · Uploaded Detail →
BBuf BBuf
from GitHub Data & AI
  • 📄 SKILL.md
diffusion sglang data

h100-sglang-diffusion

SSH into host `h100_sglang`, enter Docker container `sglang_bbuf`, work in `/data/bbuf/repos/sglang`, and use the ready H100 remote environment for SGLang **diffusion** development and validation. Use when a task needs diffusion model smoke tests, Triton/CUDA kernel validation, torch.compile diffusion checks, or a safe remote copy for diffusion-specific SGLang changes.

⬇0 ❤80 20 days ago · Uploaded Detail →
friday-platform friday-platform
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation data agent-browser

core

Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.

⬇0 ❤69 10 days ago · Uploaded Detail →
databricks databricks
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 assets/
  • 📁 references/
  • 📄 SKILL.md
data apps implementation

databricks-apps

Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Invoke BEFORE starting implementation.

⬇0 ❤85 1 month ago · Uploaded Detail →
qtzx06 qtzx06
from GitHub Data & AI
  • 📁 scripts/
  • 📄 SKILL.md
data brightness transforms

augment

Generate synthetic training data variations using image transforms. Increases dataset diversity with flips, brightness jitter, and noise. Use after labeling.

⬇0 ❤82 1 month ago · Uploaded Detail →
okx okx
from GitHub Ops & Delivery
  • 📄 SKILL.md
data dca contract

okx-cex-bot

Manage Grid bots (spot/contract/coin-margined) and DCA Martingale bots (Spot DCA 现货马丁 / Contract DCA 合约马丁) on OKX. Covers create, stop, amend, monitor P&L, TP/SL, margin/investment adjustment, and AI-recommended parameters. Requires API credentials. Not for regular orders (okx-cex-trade), market data (okx-cex-market), or account info (okx-cex-portfolio).

⬇0 ❤82 1 month ago · Uploaded Detail →
CrankAddict CrankAddict
from GitHub Data & AI
  • 📁 examples/
  • 📄 .gitignore
  • 📄 changelog.json
  • 📄 CONTRIBUTING.md
data training endurance

section-11

Evidence-based endurance coaching protocol (v11.34). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving endurance coaching advice. Always read or fetch athlete JSON data before responding to any training question.

⬇0 ❤79 1 month 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