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SiTaggart AI Skills

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Browse published AI skills maintained by SiTaggart. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

10

Repository stars across indexed skills

10

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

10 skills

Browse skills

GitHub

typescript-advanced-types

SiTaggart

Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic,...

GitHub

compound-docs

SiTaggart

Capture solved problems as categorized documentation with YAML frontmatter for fast lookup

GitHub

creating-agent-skills

SiTaggart

Expert guidance for creating, writing, and refining Claude Code Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices...

GitHub

agent-native-architecture

SiTaggart

This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing se...

GitHub

file-todos

SiTaggart

This skill should be used when managing the file-based todo tracking system in the .ai/todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integr...

GitHub

skills-sh-marketplace

SiTaggart

This skill should be used when searching, discovering, or installing skills from the skills.sh marketplace (Vercel's open agent skills ecosystem). It applies when the user wants to find skills for AI agents, br...

GitHub

git-worktree

SiTaggart

This skill manages Git worktrees for isolated parallel development. It handles creating, listing, switching, and cleaning up worktrees with a simple interactive interface, following KISS principles.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.