Total 44,103 skills, Code Quality has 2066 skills
Showing 12 of 2066 skills
Diagnoses and fixes Aptos Move compilation, runtime, and deployment errors. Triggers on: 'error', 'fix this', 'debug', 'troubleshoot', 'why is this failing', error codes like 'EOBJECT_DOES_NOT_EXIST', 'ABORTED', 'RESOURCE_NOT_FOUND', 'Type mismatch', 'ability constraint'.
Analyze and optimize Aptos Move contracts for gas efficiency, identifying expensive operations and suggesting optimizations. Triggers on: 'optimize gas', 'reduce gas costs', 'gas analysis', 'make contract cheaper', 'gas efficiency', 'analyze gas usage', 'reduce transaction costs'.
Scans codebases for technical debt with AST parsing, prioritizes debt items by impact, and generates trend dashboards. Use when tracking tech debt, prioritizing refactoring, or measuring code quality trends over time.
Adversarial code review using the opposite model. Spawns 1–3 reviewers on the opposing model (Claude spawns Codex, Codex spawns Claude) to challenge work from distinct critical lenses. Triggers: "adversarial review".
This skill should be used when the user asks to lint Perl code, run perlcritic, check Perl style, format Perl code, run perltidy, or mentions Perl Critic policies, code formatting, or style checking.
Comprehensive code investigation and audit tool. Discovers all project features, then dispatches parallel subagents to analyze issues, risks, dead code, missing functionality, and redundancies. Produces a prioritized risk report. Use this skill when the user asks to "investigate code", "audit project", "find risks", "check code quality", "analyze codebase", "what's wrong with this code", "project health check", "code review entire project", "find dead code", "find redundant code", or any request for a thorough codebase analysis.
Type-driven design principle: transform unstructured data into structured types at system boundaries, making illegal states unrepresentable. Use when writing or reviewing code that validates input, designs data types, defines function signatures, handles errors, or models domain logic. Use when you see validation functions that return void/undefined, redundant null checks, stringly-typed data, boolean flags controlling behavior, or functions that can receive data they shouldn't. Triggers on: "parse don't validate", "type-driven design", "make illegal states unrepresentable", "input validation", "data modeling", "refactor types", "strengthen types", "smart constructor", "newtype", "branded type".
Use this skill when orchestrating multiple review types. Use when general review needed without knowing which specific skill applies, full multi-domain review desired, integrated reporting needed. Do not use when specific review type known - use bug-review, test-review, etc. DO NOT use when: architecture-only focus - use architecture-review.
Open interactive code review for current changes using Plannotator UI
Audit rapidly generated or AI-produced code for structural flaws, fragility, and production risks.
Retrieve code review results from DeepSource — issues, vulnerabilities, report cards, and analysis runs. Use when asked about code quality, security findings, dependency CVEs, coverage metrics, or analysis status.
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".