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ririnto AI Skills

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

Author statistics

Indexed skills

7

Repository stars across indexed skills

7

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

code-review

ririnto

Review code changes for quality, bugs, security, and performance issues. Use when the user asks to review code, check a PR, do a code quality check, security review, find bugs, or requests code inspection.

GitHub

write-markdown

ririnto

Write and revise Markdown in a clean, consistent style. Draft and edit Markdown documents. Improve formatting for headings, lists, code blocks, tables, or links.

GitHub

explain-code

ririnto

Explain code operation, logic, and design clearly and systematically. Use when the user asks to explain code, understand how something works, what a function does, or requests logic analysis.

GitHub

generate-tests

ririnto

Generate comprehensive, maintainable test suites through code analysis. Use when the user asks to write tests, create unit tests, add test cases, test a function, or improve test coverage.

GitHub

implement-code

ririnto

Implement features, write code, and build functionality following best practices and language conventions. Use when the user asks to implement, code, build, create a function, add a feature, or write code.

GitHub

debug

ririnto

Systematically analyze and fix bugs, errors, and unexpected behavior. Use when the user reports bugs, error messages, crashes, test failures, unexpected behavior, or performance issues.

GitHub

conventional-commit

ririnto

Generate Conventional Commit messages by analyzing git diffs. Use when committing code changes, when the user needs to write commit messages, or after staging changes.

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.