Claude Code instructions for croakingtoad/context-engineering-mcp, covering claude.md - context engineering mcp server, 🚨 critical development rules, ❌ absolutely no mock data, ✅ always use real implementations and 🔧 mcp protocol compliance.
Generate a complete PRP for general feature implementation with thorough research. Ensure context is passed to the AI agent to enable self-validation and iterative refinement. Read the feature file first to understand what needs to be created, how the examples provided help, and any other considerations.
Expert documentation specialist. Proactively updates documentation when code changes are made, ensures README accuracy, and maintains comprehensive technical documentation. Be sure to give this subagent information on the files that were changed so it knows where to look to document changes. Always call this agent…
Testing and validation specialist. Proactively runs tests, validates code changes, ensures quality gates are met, and iterates on fixes until all tests pass. Call this agent after you implement features and need to validate that they were implemented correctly. Be very specific with the features that were implemented…
Dependency and configuration specialist for Pydantic AI agents. USE AUTOMATICALLY after requirements planning to set up agent dependencies, environment variables, model providers, and agent initialization. Creates settings.py, providers.py, and agent.py files.
Requirements gathering and planning specialist for Pydantic AI agent development. USE PROACTIVELY when user requests to build any AI agent. Analyzes requirements from provided context and creates comprehensive INITIAL.md requirement documents for agent factory workflow. Works autonomously without user interaction.
System prompt crafting specialist for Pydantic AI agents. USE AUTOMATICALLY after requirements planning to create optimal system prompts. Designs static and dynamic prompts, role definitions, and behavioral guidelines for agents.
Tool development specialist for Pydantic AI agents. USE AUTOMATICALLY after requirements planning to create agent tools, API integrations, and external connections. Implements @agent.tool decorators, error handling, and tool validation.
Testing and validation specialist for Pydantic AI agents. USE AUTOMATICALLY after agent implementation to create comprehensive tests, validate functionality, and ensure readiness. Uses TestModel and FunctionModel for thorough validation.
This command is designed to create a comprehensive Product Requirement Prompt (PRP) for building Model Context Protocol (MCP) servers referencing this codebase patterns mirroring tool setups for the users specific requirements.
This command is designed to create a comprehensive Model Context Protocol (MCP) servers following the specific Product Requirement Prompt (PRP) passed as an argument, referencing this codebase patterns mirroring tool setups for the users specific requirements.
Generate a complete PRP for general feature implementation with thorough research. Ensure context is passed to the AI agent to enable self-validation and iterative refinement. Read the feature file first to understand what needs to be created, how the examples provided help, and any other considerations.
Generate a comprehensive PRP for creating context engineering templates for specific technology domains based on the detailed requirements in the INITIAL.md file. This follows the standard PRP framework workflow: INITIAL.md → generate-template-prp → execute-template-prp.