Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply this strategy with any AI coding assistant!
About the project
Context Engineering Template is a repository of instructions, examples, workflows, and validation practices that give AI coding assistants the information they need to complete software tasks. It is for developers working with Claude Code or other coding assistants, and the catalogue entries package parts of its workflow as commands, agents, instructions, and a skill.
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.
Use proactively to find codebase patterns, coding style and team standards. Specialized agent for deep codebase pattern analysis and convention discovery.
Testing specialist for software features. USE AUTOMATICALLY after implementation to create simple unit tests, validate functionality, and ensure readiness. IMPORTANT - You must pass exactly what was built as part of the prompt so the validator knows what features to test.
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originalMIT
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