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Found 1,024 Skills
Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review".
Create a detailed refactor plan with tiny commits via user interview, then file it as a GitHub issue. Use when user wants to plan a refactor, create a refactoring RFC, or break a refactor into safe incremental steps.
Identify refactoring opportunities by surfacing architectural friction. Apply the deletion test, deep-modules vocabulary, and seams analysis. Each opportunity becomes its own evanflow-writing-plans cycle. Use when reviewing code for refactoring, when a file has grown too large, or when architecture concerns surface during feature work.
Improve existing code through safe, behavior-preserving Clean Code refactoring. Use when the user asks to refactor code, clean up messy code, improve readability, simplify structure, reduce duplication, improve naming, review maintainability, or apply Clean Code principles. Do not use for broad architecture redesign unless the user asks for redesign.
Expert code refactoring based on Martin Fowler's catalog — improve maintainability without changing behavior. Covers code smells, composing methods, moving features, organizing data, simplifying conditionals, method calls, and generalization. Triggers on: refactor, 重构, clean up, improve code, code smell, extract method, rename, simplify.
Generates a heat-map and metrics report of a repository based on code complexity, lack of tests, and 'TODO/FIXME' density. Use when you need to identify high-risk areas for refactoring or when planning technical debt reduction sprints.
Finds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between services", "what can be consolidated?", "detect shared domain logic", or analyzing component overlap before refactoring. Do NOT use for code-level duplication detection (use linters) or dependency analysis (use coupling-analysis).
Sweep the current branch for leftovers of an abandoned design after a significant mid-work decision change, and rewrite the affected code, comments, tests, and docs so the result reads as if it had been designed this way from the beginning. Use when the user says "design cleanup", "clean up the old approach", "erase the journey", says a design decision changed and asks to clean up after it, or after a pivot in approach mid-branch. This is a rewrite pass over the code touched by the decision only — not a general refactoring or bug-hunting pass.
Improves Python library code quality through ruff linting, mypy type checking, Pythonic idioms, and refactoring. Use when reviewing code for quality issues, adding type hints, configuring static analysis tools, or refactoring Python library code.
Expert in Gravito architecture and clean code. Trigger this for refactoring, design pattern implementation, or architectural audits.
Architecture optimization team skill. Analyzes codebase architecture, designs refactoring plans, implements changes, validates improvements, and reviews code quality via CSV wave pipeline with interactive review-fix cycles.
Track, categorize, and prioritize technical debt when the user asks to manage tech debt, create a tech debt register, assess code quality, or plan refactoring work