Loading...
Loading...
Found 126 Skills
Extract project-specific coding rules and domain knowledge from existing codebase, generating markdown documentation for AI agents.
Launch the interactive web dashboard to visualize a codebase's knowledge graph
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, designing systems, or making architectural decisions. Enters plan mode, reads all available docs, explores the codebase deeply, then interviews the user relentlessly with ultrathink-level reasoning on every decision until a shared understanding is reached. Produces a validated design spec before any implementation begins. Triggers on feature requests, design discussions, refactors, new projects, component creation, system changes, and any task requiring design decisions.
Analyze codebase with parallel mapper agents to produce .planning codebase documents
Generate comprehensive technical documentation for developers taking over an AEM Edge Delivery Services project. Analyzes codebase structure, custom implementations, design tokens, and produces a complete developer guide.
Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.
Generate architecture diagrams as .excalidraw files from codebase analysis. Use when the user asks to create architecture diagrams, system diagrams, visualize codebase structure, or generate excalidraw files.
Generate LLM skills from documentation, codebases, and GitHub repositories
Update and maintain CLAUDE.md and README.md documentation
Perform initial analysis of a codebase - detect tech stack, directory structure, and completeness. This is Step 1 of the 6-step reverse engineering process that transforms incomplete applications into spec-driven codebases. Automatically detects programming languages, frameworks, architecture patterns, and generates comprehensive analysis-report.md. Use when starting reverse engineering on any codebase.
AI-powered systematic codebase analysis. Combines mechanical structure extraction with Claude's semantic understanding to produce documentation that captures not just WHAT code does, but WHY it exists and HOW it fits into the system. Includes pattern recognition, red flag detection, flow tracing, and quality assessment. Use for codebase analysis, documentation generation, architecture understanding, or code review.
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.