Total 50,396 skills, Code Quality has 2287 skills
Showing 12 of 2287 skills
Analyze candidate algorithms for time/space complexity, scalability limits, and resource-budget fit (CPU, memory, I/O, concurrency). Use when feasibility depends on input growth or latency/memory constraints and quantitative bounds are required before implementation; do not use for persistence schema or deployment topology decisions.
Style, review, and refactoring standards for Bash shell scripting. Trigger when `.sh` files, files with `#!/usr/bin/env bash` or `#!/bin/bash`, or CI workflow blocks with `shell: bash` are created, modified, or reviewed and Bash-specific quality controls (quoting safety, error handling, portability, readability) must be enforced. Do not use for generic POSIX `sh`, PowerShell, or language-specific application style rules. In multi-language pull requests, run together with other applicable `*-style-guide` skills.
Internal skill. Use cc10x-router for all development tasks.
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
Assesses and responds to incoming code review feedback on PRs (reviewer comments, requested changes), especially when suggestions are unclear, technically questionable, or scope-expanding. Use before implementing review suggestions to align on intent and keep changes minimal.
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.
Clean Code practices for TypeScript/JavaScript. Identify code smells, apply refactoring patterns, and write maintainable code. Use when reviewing code quality, refactoring messy code, or ensuring code follows best practices. Triggers on requests like "clean up this code", "refactor for readability", "identify code smells", or "make this more maintainable".
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".
Review PRs, MRs, and Gerrit changes with focus on security, maintainability, and architectural fit. Leverages github, gitlab, or gerrit skills based on repository context. Use when asked to review my code, check this PR, review a pull request, look at a merge request, review a patchset, or provide code review feedback.
Review the current Pull Request that has been checked out locally with structured feedback on code quality, issues, testing, and suggestions. Use when you need a comprehensive code review of a PR branch.
SOLID principles for object-oriented design — Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion. Covers motivation, violations, fixes, and multi-language examples (PHP, Java, Python, TypeScript, C++) for building maintainable, extensible software.
Evidence-based investigative code review using deductive reasoning to determine what actually happened versus what was claimed. Use when verifying implementation claims, investigating bugs, validating fixes, or conducting root cause analysis. Elementary approach to finding truth through systematic observation.