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Found 955 Skills
AI SDLC code review workflow. Use when an AI assistant is asked to review a diff, PR, branch, commit, staged changes, or completed implementation against SDD requirements, tests, API contracts, security, and scope discipline. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Compare React Doctor diagnostics for a GitHub pull request (PR) with Daytona. Use when asked to run parity, check a PR for diagnostic regressions, compare a PR with its base, or report added and removed diagnostics.
Write, edit, refactor, or review Python in easy-cheese with concise stdlib-first code, Python 3.12, self-contained .pyz packaging, and repository test and validation conventions. Use for Python changes under src/, shared/scripts/, scripts/, .github/scripts/, or tests/, especially when the user asks for Pythonic, succinct, de-slopped, dataclass-based, CLI, validator, or bundled-helper code.
Review a diff, PR, branch, or path across ten orthogonal dimensions (correctness, security, encapsulation, spec, complexity, deslop, assertions, NIH, efficiency, telemetry) and emit a severity-grouped findings report. Use when the user wants a code review — phrases like "review this", "/age", "is this safe to merge", "find bugs", "spot security issues", "check for slop", "review my PR", "what's wrong with this code". Use even when the user only asks for one dimension — the report scopes itself. Do NOT use for applying fixes (route to /cure) or test hardening (route to /press).
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
Automatically fix ESLint errors by modifying code to comply with linting rules. For small codebases (≤20 errors), fixes directly. For larger codebases (>20 errors), spawns parallel agents per directory for efficient processing. Never disables rules or adds ignore comments.
Conduct Pull Request code reviews, including comprehensive evaluations of code quality, security, performance, architectural rationality, etc. Activated when users request PR reviews or mention keywords like "review pr", "check PR", etc.
Ruby and Rails best practices following POODR and Refactoring Ruby. Use for Rails development guidance, code quality, dependency injection, small methods, and OOP principles. Triggers on "rails best practice", "poodr", "refactoring", "ruby oop", "code quality".
Detect code smells including long methods, large classes, duplicated code, and deep nesting. Use when identifying code quality issues or planning refactoring.
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers on mentions of Python setup, uv, Flask, pytest, or project initialization.