analyze-project
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
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350 skills found
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Automated end-to-end test generation using Playwright. Converts user workflows into functional test specs by interactively executing actions and following project conventions.
Build a cohesive, constraint-based design system using the Design Graph methodology. Automate the creation of design tokens, typography scales, components, variants, and themes.
Interactive terminal canvas for rendering, editing, and selecting markdown text, emails, and project documentation in Claude Code.
Create, manage, and debug dlt (data load tool) pipelines for ingesting data from APIs, databases, and custom sources into destinations like DuckDB, BigQuery, and Snowflake.
A command-line interface for the Model Context Protocol (MCP) to discover, inspect, and execute tools from MCP servers directly in your terminal.
Analyze Kubernetes controller code to generate contract-compliant dependency graph artifacts for the Kamera coverage strategy.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.