Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.

AI coding agent that plans, implements, and verifies code changes with human approval gates. Built on FlatAgents.

Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"

Expert in the human side of code review. Covers giving feedback that lands, receiving criticism gracefully, navigating disagreements, and building a healthy review culture. Understands that code...

Conducts comprehensive backend code reviews including API design (REST/GraphQL/gRPC), database patterns, authentication/authorization, caching strategies, message queues, microservices...

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow...

Use when receiving code review feedback, before implementing suggestions,

Async REPL Protocol

Git Commit Rules

Store a learning, pattern, or decision in the memory system for future recall

Check reference SDK implementations using btca ask

Analyze brownfield codebase and create initial continuity ledger

LLM Tuning Patterns

Parallel Agent Type Contracts

Automated browser-based document search and retrieval from free public sources

Maps questions to the optimal tldr command. Use this to pick the right layer

Show full session token usage, costs, TLDR savings, and hook activity

Scan lyrics for pronunciation risks, prevent Suno mispronunciations