Total 52,961 skills, Code Quality has 2396 skills
Showing 12 of 2396 skills
Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.
Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.
Safely remove a feature flag from code while preserving production behavior. Use when the user wants to remove a flag from code, delete flag references, or create a PR that hardcodes the winning variation after a rollout is complete.
All changes to code must follow the guidance documented in the repository. Before any issue is filed, branch is made, commits generated, or pull request (or PR) created, a search must be done to ensure the right steps are followed. Whenever asked to create an issue, commit messages, to push code, or create a PR, use this skill so everything is done correctly.
Query efficiency audit worker (L3). Checks redundant entity fetches, N-UPDATE/DELETE loops, unnecessary resolves, over-fetching, missing bulk operations, wrong caching scope. Returns findings with severity, location, effort, recommendations.
Advanced error analysis and pattern detection specialist for identifying, analyzing, and preventing software errors
Use when the user needs code quality review, refactoring guidance, SOLID principles application, or help identifying and fixing code smells. Triggers: code smell detection, refactoring planning, naming convention review, complexity reduction, DRY analysis, error handling improvement.
Review PowerShell code for language and runtime conventions: advanced functions, parameter design, error handling, object pipeline behavior, compatibility, and testability. Language-only atomic skill; output is a findings list.
Code style rules for readable, maintainable implementation. Load this skill always when writing or editing code, and whenever the user asks about code style, refactoring shape, function/file size, object-oriented structure, helper ordering, or comments. For Frappe-specific work, prefer frappe-app-dev.
Use when implementing any code in recursive-mode Phase 3. Enforces strict RED-GREEN-REFACTOR discipline with The Iron Law - no production code without a failing test first. Trigger phrases: "implement this", "add feature", "fix bug", "write a failing test", "TDD".
Use this skill when > Identify architectural friction and propose deepening opportunities — refactors that turn shallow modules into deep ones for better testability and AI-navigability. Use when improving architecture, finding refactoring opportunities, consolidating tightly-coupled modules, or making a codebase more testable.
Review AI-generated code changes before committing using GitHuman. Use when reviewing code changes, creating code reviews, checking what the AI agent wrote, preparing to commit, or when user mentions "review", "GitHuman", or "before commit".