build-with-adk

Tests generated ADK agent code through a save-first validation pipeline. Saves code to disk FIRST, then tests the saved code via start_agent and talk_to_agent. Drives the iterative refinement loop.

FastAPI development best practices and conventions. Use when building, reviewing, or debugging FastAPI applications, REST APIs, or Pydantic models.

Reviews Python code for quality, style, and common bugs. Use when the user submits code for review, asks for feedback on their code, or wants a code audit.

Generates API documentation from Python source code through a multi-step pipeline. Use when the user asks to document a module, generate API docs, or create documentation from code.

Plans a new software project by gathering requirements through structured questions before producing a plan. Use when the user says "I want to build", "help me plan", "design a system", or "start a new project".

Generates structured technical reports in Markdown. Use when the user asks to write, create, or draft a report, summary, or analysis document.

Guide for adding new agents to the ADK pipeline. Use when creating a new LlmAgent, SequentialAgent, or ParallelAgent, or when extending the pipeline with additional processing stages.

Troubleshoot ADK errors and issues. Use when encountering API errors, model overloaded errors, state issues, tool failures, authentication problems, or unexpected agent behavior.

Guide for creating custom ADK tools. Use when adding new function tools, working with ToolContext, saving artifacts, or integrating external APIs into the agent pipeline.

Customize the retail agent for different use cases. Use when adapting for different business types, industries, or output formats, or when modifying prompts, adding verticals, or changing the analysis focus.

Learn ADK concepts and understand the retail agent pipeline. Use when asking how the agent works, what ADK is, wanting to understand the architecture, state flow, or individual agent purposes.