Comprehensive Test Driven Development guide for engineering subagents with multi-framework support, coverage analysis, and intelligent test generation
WHAT YOU BECOME
Perfect for these scenarios
Optimize aircraft wing shapes for fuel efficiency and payload capacity.
Balance cost, delivery time, and carbon footprint in logistics.
Find optimal robot trajectories minimizing time and energy use.
Maximize solar panel output while minimizing material costs.
MEASURED GAIN
Proven benefits and measurable impact
Achieve optimal Pareto fronts in half the iterations compared to other frameworks.
Deliver more precise trade-off solutions for complex engineering problems.
Deploy optimization experiments 10 times faster with built-in benchmarks.
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating documentation for AI agent workflows, onboarding guides, or when standardizing agent interaction patterns across projects.
Validate OpenAPI, Swagger, and GraphQL schemas match backend implementation. Detect breaking changes, generate TypeScript clients, and ensure API documentation stays synchronized. Use when working with API spec files (.yaml, .json, .graphql), reviewing API changes, generating frontend types, or validating endpoint implementations.
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
Expert on Anthropic Claude API, models, prompt engineering, function calling, vision, and best practices. Triggers on anthropic, claude, api, prompt, function calling, vision, messages api, embeddings