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environment-setup
environment-setup には devclarityai から収集した 30 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Explain code at a high level and surface gotchas
Review a PR diff with focused, actionable feedback
Improve readability of a source file without changing behavior
Turn a user story into a concrete plan, skeletons, and tests
Refactor legacy code toward a stated goal with safety
Break a feature spec into sprint-ready engineering tasks
Generate thorough tests for a function or module
Interactively discover monorepo directories and create a JSON list for AGENTS.md generation
Analyze a monorepo directory and generate an AGENTS.md file with context for Codex
Batch-process directory-instructions.json to generate AGENTS.md files in parallel
Discover directories and create the tracking JSON for instruction generation.
Analyze a directory and generate consolidated Cursor rules.
Explain code at a high level and surface gotchas. Use when the user wants to understand what code does, its flow, dependencies, risks, or edge cases.
Review a PR diff with focused, actionable feedback. Use when reviewing pull requests, code changes, or when the user asks for a code review.
Improve readability of a single source file without changing behavior. Use when the user wants to clean up, refactor for readability, or improve code style.
Turn a user story into a concrete plan, skeletons, and tests. Use when implementing features from user stories, acceptance criteria, or product requirements.
Analyze the codebase and generate context rules for Cursor. Use when setting up or populating .cursor/rules/ files.
Refactor legacy code toward a stated goal, with safety. Use when improving readability, adopting patterns, or reducing coupling while preserving behavior.
Break a feature spec into sprint-ready engineering tasks. Use when planning features, creating work breakdowns, or splitting work into deliverables.
Generate thorough tests for a function or module. Use when writing tests, adding test coverage, or creating test suites.
Explain code at a high level and surface gotchas
Review a PR diff with focused, actionable feedback
Improve readability of a source file without changing behavior
Turn a user story into a concrete plan, skeletons, and tests
Refactor legacy code toward a stated goal with safety
Break a feature spec into sprint-ready engineering tasks
Generate thorough tests for a function or module
Interactively discover monorepo directories and create a JSON list for CLAUDE.md generation
Analyze a monorepo directory and generate a CLAUDE.md file with context for Claude Code
Batch-process directory-instructions.json to generate CLAUDE.md files in parallel