Total 43,917 skills, Code Quality has 2056 skills
Showing 12 of 2056 skills
Refactoring workflow — test coverage gate, DRY + SOLID analysis, SRP decomposition, pattern discovery, spec-driven user review, and execution planning
Inspect or run the manual maintenance workflow. Uses explicitly configured repository checks, applies safe auto-fixes, and archives successful maintenance changes.
Set up and maintain hk git hook manager in any repository. Use when adding pre-commit hooks, configuring linters, setting up code quality automation, working with hk.pkl, or maintaining existing hook configurations. Triggers on tasks involving hk, git hooks, pre-commit checks, commit-msg validation, or linting pipelines.
Explore a codebase for architectural friction, discover refactoring opportunities, and propose module-deepening refactors as GitHub issue RFCs. Uses friction-driven exploration and parallel sub-agents to design multiple interface alternatives. Use when user wants to improve architecture, find refactoring opportunities, consolidate coupled modules, reduce complexity, make code more testable, or review codebase health.
Catalogue of preferred linter rules, TypeScript flags, and architectural boundary checks for making bug classes and design drift mechanically impossible. Use when setting up linting in a new project, hardening an existing project, responding to a class of bug by encoding a rule, or deciding which linter to reach for on a given stack. Pairs with the `hk` skill which handles wiring hooks.
Use the harem hierarchical code review system to output structured review conclusions based on the division of labor among the Empress, Four Consorts, and Nine Imperial Concubines
Use anime-style multi-role continuous conversational code review to output review opinions with natural technical anchors through strong character interaction
Build a pre-implementation harness for ambiguous or risky coding tasks by grounding the request in the repository, producing a structured impact map, surfacing ambiguities and risks, defining scope boundaries, and creating a validation-ready implementation contract before any code changes are made. Use when a task is broad, underspecified, cross-cutting, or likely to drift without an explicit planning checkpoint.
Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).
Comprehensive React/TypeScript frontend code review with optional parallel agents
Analyze code for patterns, complexity, dependencies, and quality. Use when: code review, refactoring, understanding codebases.
Execute coding tasks with a strict delivery workflow: build a full plan, implement one step at a time, run tests continuously, and commit by default after each step (`per_step`). Support explicit commit policy overrides (`final_only`, `milestone`) and optional BDD (Given/When/Then) when users ask for behavior-driven delivery or requirements are unclear.