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Found 41 Skills
Audit and fix filename and naming conventions for consistency. Use when reviewing file names, component names, or export naming across the codebase.
Detect common Python vulnerabilities such as SQL injection, unsafe deserialization, and hardcoded secrets. Use as part of a secure SDLC for Python projects.
Final code review and quality gate — run tests, check coverage, audit security, verify acceptance criteria from spec, and generate ship-ready report. Use when user says "review code", "quality check", "is it ready to ship", "final review", or after /deploy completes. Do NOT use for planning (use /plan) or building (use /build).
Rust unsafe code skill for systems programming. Use when writing or reviewing unsafe Rust, understanding what operations require unsafe, implementing safe abstractions over unsafe code, auditing unsafe blocks, or understanding raw pointers, transmute, and extern. Activates on queries about unsafe Rust, raw pointers, transmute, unsafe blocks, writing safe wrappers, UnsafeCell, unsafe trait impl, or auditing unsafe code.
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.
Review Dojo code for best practices, common mistakes, security issues, and optimization opportunities. Use when auditing models, systems, tests, or preparing for deployment.
Audit and improve SwiftUI runtime performance. Use for slow rendering, janky scrolling, high CPU, memory usage, excessive view updates, layout thrash, body evaluation cost, identity churn, view lifetime issues, lazy loading, Instruments profiling guidance, and performance audit requests.
Coordinates performance optimization: algorithm, query, and runtime workers in parallel
Checks WHY-not-WHAT, density (15-20%), forbidden content, docstrings quality, actuality, legacy cleanup. Returns findings with severity, location, and recommendations.
Coordinates code modernization: OSS replacement and bundle optimization workers
Deep line-by-line code review that finds all bugs, logic errors, redundancies, and issues. Traces call stacks, fixes everything, verifies 100%. Use when reviewing features, PRs, code changes, or auditing for bugs.
Write and audit Python code comments using antirez's 9-type taxonomy. Two modes - write (add/improve comments in code) and audit (classify and assess existing comments with structured report). Use when users request comment improvements, docstring additions, comment quality reviews, or documentation audits. Applies systematic comment classification with Python-specific mapping (docstrings, inline comments, type hints).