Total 44,061 skills, Code Quality has 2066 skills
Showing 12 of 2066 skills
Assess and prioritize tech debt items. Use when a senior developer needs an investment plan for debt reduction.
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.
Use when optimizing application performance, reducing load times, improving database queries, meeting performance budgets, or diagnosing bottlenecks in web applications or APIs. Triggers: slow page loads, poor Web Vitals, database timeouts, large bundle size, user-reported sluggishness, scaling preparation.
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.
Run agentlint CLI after code changes to catch patterns for AI evaluation. Activate when finishing code modifications, before committing, or when the developer asks to lint, scan, or review code with agentlint. Covers agentlint check, agentlint list, agentlint review, agentlint init, inline suppression, and output interpretation.
Classify a code quality concern into the right enforcement tool and act on it. Activate when the user wants to enforce a pattern, catch a mistake, add a check, create a rule, prevent a practice, guard against regressions, set up linting, improve their feedback loop, or asks "how do I make sure X."
Effectue des revues de code complètes des merge requests GitLab, analysant la qualité du code, la sécurité, les performances et les bonnes pratiques. À utiliser quand l'utilisateur dit « code review » ou demande de revoir des merge requests ou d'analyser les changements d'une branche avant fusion.
Profile and optimize application performance including load times, memory usage, and rendering. Use when debugging slow performance, memory leaks, or optimizing app speed.
Automated code review and analysis. Use when: user wants to review code changes, check for issues, analyze complexity, or perform security scans.
Review existing code, diffs, branches, or pull requests using concern-specific reviewer personas and evidence. Use when auditing someone else's work, triaging risk in a PR, or producing a ship-it / needs-review / blocked verdict. Do not use to verify your own completed change; use `verify` for that.
Verify your own completed code changes using the repo's existing infrastructure and an independent evaluator context. Use after implementing a change when you need to run unit or integration tests, check build or lint gates, prove the real surface works with evidence, and challenge the changed code for clarity, deduplication, and maintainability. If the repo is not verifiable yet, hand off to `agent-readiness`; if you are reviewing someone else's code, use `review`.
Used when completing tasks, implementing important features, or before merging to verify whether the work results meet the requirements