Browse data workflow skills for SQL querying, analytics, ETL, and database workflows. Give AI agents access to structured data and pipelines.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Search GitHub for repos, code, and usage examples using gh CLI. Capabilities: repo discovery, code search, finding library usage patterns, issue/PR search. Actions: search, find, discover repos/code/examples. Keywords: gh, github, search repos, search code, find examples, how to use library, stars, language filter. Use when: finding repositories, searching code patterns, discovering how libraries are used, exploring open source.
Use when working with rEFui (refui) applications where you cannot rely on reading the library source. Covers the retained-mode + signals mental model, DOM/HTML/Reflow renderers, JSX setup (classic pragma vs automatic runtime), directives (on:/class:/style:/attr:/prop:/m: macros), HMR via refurbish/refui/hmr, debugging “UI not updating” issues, and migrating React/Vue/Solid/Svelte patterns to rEFui.
Advanced git workflows including worktrees, bisect, interactive rebase, hooks, and recovery techniques
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Use Sybil for testing code examples in documentation and docstrings. Covers pytest integration, parsers, skip directives, and namespace management.
Creates Wagmi features across all layers - core actions, query options, framework bindings. Use when adding new actions, hooks, or working across packages/core, packages/react, packages/vue.
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across nine technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery, Product & Analytics) and five maturity levels. Use when users request `/readiness-report` or want to assess agent readiness, codebase maturity, or identify gaps preventing effective AI-assisted development.
Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through to make bugs structurally impossible
Discover, match, and invoke skills from .cursor/features/skills/ directory. Use when user mentions skills, needs to find appropriate skill for a task, or when skill invocation or delegation is required. Automatically reads registry.json for skill metadata and intelligent matching.
Implements three Bayesian sub-agents for hypothesis-driven development. Use when generating hypotheses, designing experiments, evaluating evidence, performing backwards reasoning from effects to causes, finding conditional variables, verifying results, or creating git worktree schemas. Agent 1 generates hypotheses and schemas; Agent 2 evaluates evidence and creates worktrees; Agent 3 performs backwards probability reasoning to find causes.
Create comprehensive integration tests for syncable entities in Twenty. Use when writing integration tests for metadata entities, covering validator exceptions, input transpilation errors, and CRUD operations. Tests are MANDATORY for all syncable entities.
Agent for publishing articles to Hugo static sites. Handles metadata generation, directory creation, and Hugo file structure for The Aiglet and other Hugo sites.