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kaushikgopal AI Skills

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

Author statistics

Indexed skills

7

Repository stars across indexed skills

441

Repository forks

42

Average repository stars per indexed skill

63

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

ppage

kaushikgopal

Captures session learnings, decisions, and context to a markdown file for future agent ramp-up. Use when user says "ppage", "page context", "save context", "capture learnings", or before ending a substantial wo...

GitHub

find

kaushikgopal

Fast file and code search using `fd` and `rg`. Use when the user asks to locate files or search code patterns.

GitHub

write-pr-desc

kaushikgopal

Generate a GitHub Pull Request description. Creates structured, reviewer-centric PR descriptions with title, summary, why (before/after), implementation details, and impact. Use when user says "write PR descrip...

GitHub

analyze-changes

kaushikgopal

Interactive chunk-by-chunk review of PR or branch changes. Identifies logical groupings, explains each chunk, and critiques for issues. Use when user says "analyze-changes", "review changes", "review this PR",...

GitHub

multi-mind

kaushikgopal

Multi-specialist collaborative analysis for complex decisions. Spawns parallel subagents with diverse domain expertise to analyze a topic from multiple angles. Use when user says "multi-mind", or for complex ar...

GitHub

analyze-function

kaushikgopal

Deep line-by-line analysis of a function or method. Explains what each line does, why it's written that way, performance implications, edge cases, and design patterns. Use when user says "analyze-function", "an...

GitHub

simplify-code

kaushikgopal

Simplifies code for clarity and maintainability while preserving exact behavior. Focuses on recently modified code. Use when user says "simplify", "simplify code", "make this simpler", "clean up", or "refactor...

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.