cc-explore
Research codebase and dependencies to support planning. Use when evidence is missing.
comprehensive-research
Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
context-setter
Generate comprehensive context-setting markdown files for coding tasks by intelligently exploring codebase and structuring work with ROLE, CONSTRAINTS, STYLE, file reading order, and structured tasks. Use proactively when the user is starting a complex dev task requiring multiple steps or file reads.
exploring-codebase
Locate code, trace flows, and find usages in codebases. Use proactively for "where is", "how does", "find", "called", "used", or any code search question.
code-smell-detection
Use when reviewing code quality, before refactoring, when complexity increases, when code feels "hard to change", during code review, or when onboarding to unfamiliar code - systematic identification of code smells with specific refactoring recipes
codebase-navigator
Fast repository comprehension and safer edits through structured exploration
doc-query
Targeted query capabilities for machine-readable codebase documentation with cross-reference tracking, call graph analysis, and workflow automation. Enables fast lookups of classes, functions, dependencies, and function relationships without parsing source code.
llm-doc-gen
LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.
doc-scanner
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
structural-search
Search code by AST structure using ast-grep. Find semantic patterns like function calls, imports, class definitions instead of text patterns. Triggers on: find all calls to X, search for pattern, refactor usages, find where function is used, structural search, ast-grep, sg.
serena-code-architecture
Architectural analysis workflow using Serena symbols and Forgetful memory. Use when analyzing project structure, documenting architecture, creating component entities, or building knowledge graphs from code.
using-serena-symbols
Guidance for using Serena's LSP-powered symbol analysis. Use when exploring codebases, finding symbol definitions, tracing references, or when grep/text search would be imprecise.
analyze-m1-module-for-migration
Systematically analyze a Magento 1 module to determine its purpose, usage, and migration requirements for Magento 2. Use when you need to decide whether to migrate a M1 module, find alternatives, or skip it.
33GOD System Expert
Deep knowledge expert for the 33GOD agentic pipeline system, understands component relationships and suggests feature implementations based on actual codebase state
project-analysis
Analyze and understand codebase structure, dependencies, and patterns. Use when onboarding to a new project or auditing existing code.
local-skills-mcp-guide
Expert guide for understanding the Local Skills MCP server repository - its structure, architecture, and implementation. Use when exploring this MCP server's codebase, understanding how Local Skills MCP works internally, or contributing to the project.
analyzing-code
Analyzes code statistics by language for project insight, CI/CD metrics, or before refactoring. Use this skill when understanding project composition, measuring change impact, or generating CI/CD metrics
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