sdd-review
Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.
code-reviewer
Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.
finding-dead-code
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codex
Execute Codex CLI for code generation, analysis, web search and web fetch. Two capabilities - (1) Code Generation with deep reasoning, (2) Web Search & Fetch for online research.
gemini-cli
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
code-review
Comprehensive code review framework for evaluating implementations against plans, requirements, and quality standards. Provides structured analysis with prioritized, actionable feedback.
test-generation
Use when generating tests for new or existing code to improve coverage - provides a structured workflow for analyzing code, creating tests, and validating coverage goals.
compiler-explorer
Optimize functions by generating and analyzing compiler assembly output. Use when asked to optimize a function, analyze generated assembly, or improve performance by examining what the compiler produces.
gemini
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.1-Codex by default for state-of-the-art software engineering.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
code-stats
Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.
extracting-code-structure
Extracts file structure (functions, classes, exports) efficiently without reading entire files, using ast-grep, Dart/Flutter analyzer, ctags, or other language-specific tools to get outlines and signatures. Use this skill when listing all methods, functions, or classes in a file, exploring unfamiliar code, getting API overviews, or deciding what to read selectively
performance-profiler
Analyze code performance patterns and identify optimization opportunities.
IDA Swarm Technical Reference
Technical reference for using IDA Swarm MCP tools. Covers system constraints, architecture, TRUE CONTEXT principle, result interpretation, and debugging. Use when analyzing binaries via IDA Swarm or troubleshooting sessions.
engineer-expertise-extractor
Research and extract an engineer's coding style, patterns, and best practices from their GitHub contributions. Creates structured knowledge base for replicating their expertise.
technical-debt-assessment
Assess, quantify, and prioritize technical debt using code analysis, metrics, and impact analysis. Use when planning refactoring, evaluating codebases, or making architectural decisions.
performance-profiling
Performance profiling principles. Measurement, analysis, and optimization techniques.
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