deslop
Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against base branch (main/master) and fixes style...
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Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against base branch (main/master) and fixes style...
Final validation checklist for IBL5 pull requests before merge. Use when reviewing PRs, validating refactored code, or preparing for merge.
Encodes validation patterns for robotics simulation code (ROS 2, Gazebo, Isaac Sim). Ensures code examples are testable, safe, and follow simulation-first pedagogy. Validates Python syntax, ROS 2 patterns, URDF...
Generate standards-compliant commit messages following Conventional Commits with emojis. Use this when creating commits, reviewing commit messages, or ensuring consistent commit history.
Validates WCAG AA contrast ratios (minimum 4.5:1) for text and background color combinations in frontend code. Use when reviewing UI implementations to ensure accessibility compliance and catch poor contrast be...
Enforce code complexity limits and quality standards in TapScore backend. Use when writing or reviewing backend code to ensure method size limits, nesting depth, naming conventions, and use of domain constants...
Systematic code review for TapScore focusing on code smells, duplication, architecture violations, and security issues. Use when reviewing code changes before commit or merge. Provides constructive feedback wit...
Process CodeRabbit AI PR review suggestions from CODERABBIT.md in the TCC repo; triage, validate against code/specs, and implement safe, production-ready fixes.
Activates after code changes to suggest or run verification steps. Provides test-after-action patterns for different file types and frameworks.
Activates when errors occur during execution. Provides self-correction patterns for immediate error fixing without verbose explanations or apologies.
Critical code review methodology. Use when reviewing code, PRs, or changes to enforce rigorous review standards.
Python 3.12+ coding standards and conventions (source of truth). Use when working on Python projects, implementing features, or reviewing code for standards compliance.
Python code review specialist. Use when reviewing Python code, checking for bugs, security issues, or ensuring code quality standards.
Iteratively fix all linting errors until clean. Use when: fix lint, lint errors, lint loop, baldrick lint-fix. Triggers on: lint, fix lint, lint errors, lint loop.
Iteratively reduce code entropy by fixing smells and improving quality. Use when: cleanup, code smells, entropy, refactor loop, baldrick entropy. Triggers on: entropy, cleanup, code smells, reduce entropy.
Analyze code for internationalization issues, understanding the UI context and user impact before flagging problems. Use when reviewing code for global readiness.
Analyze code and documentation for non-inclusive language, understanding context and intent before flagging issues. Use when reviewing code for biased terms, gendered language, or problematic terminology.
Copilot agent that assists with comprehensive code review focusing on code quality, SOLID principles, security, performance, and best practices Trigger terms: code review, review code, code quality, best pract...
Using Biome for fast, unified code formatting and linting - a modern alternative to ESLint and Prettier
Quality verification before commits and deployments. Use for quality checks, running tests, checking coverage, validating changes.
Review code changes using Codex CLI. Use this skill when the user wants to review implemented code, uncommitted changes, or specific commits using the codex review command. Triggers on requests like "review my...
Run linters/formatters on changed files and apply safe, mechanical fixes. Use in Flow 3 and Flow 4.
Automated code review for quality, security, and best practices. Use when user asks for code review, quality analysis, or wants feedback on their code.
Auto-repair common parser errors in golden set test files including type coercion (strings to numbers), range format conversion (min/max), field ordering for v3.x schema, weight structure migration (legacy to v...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.