23blocks-OS

Create, manage, and interact with canvas HTML pages. Write visual UIs that users see in the AI Maestro dashboard, receive structured interactions when users click/submit/select, and update pages in response. Full lifecycle management for agent-rendered canvases.

Searches auto-generated codebase documentation for function signatures, API documentation, class definitions, and code comments. Use when the user asks to "search docs", "find function", "check API", or before implementing anything to understand existing patterns.

Creates and manages persistent markdown planning files (task_plan.md, findings.md, progress.md) for complex task execution. Use when starting multi-step tasks, research projects, or any task requiring >5 tool calls. Solves the EXECUTION problem - staying focused during long-running tasks.

Authenticate AI agents with auth servers using the Agent Identity (AID) protocol. Supports Ed25519 identity documents, proof of possession, OAuth 2.0 token exchange, and scoped JWT tokens. Self-contained — works independently without other protocols.

Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Supports local messaging, federation across providers, file attachments, and Ed25519 signatures. Works with any AI agent that can execute shell commands.

Creates, manages, and orchestrates AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "rename agent", "hibernate agent", "wake agent", "install plugin", "show agent", "export agent", "restart agent", "install marketplace", or any agent lifecycle management task.

Queries the code graph database to understand component relationships, dependencies, and the impact of changes. Use when the user asks to "find callers", "check dependencies", "what uses this", or when exploring codebase structure to avoid breaking changes.

Searches conversation history and semantic memory to find previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting new work to recall prior decisions and avoid repeating past discussions.

Creates and manages persistent markdown planning files (task_plan.md, findings.md, progress.md) for complex task execution. Use when starting multi-step tasks, research projects, or any task requiring >5 tool calls. Solves the EXECUTION problem - staying focused during long-running tasks.

Searches auto-generated codebase documentation for function signatures, API documentation, class definitions, and code comments. Use when the user asks to "search docs", "find function", "check API", or before implementing anything to understand existing patterns.

Queries the code graph database to understand component relationships, dependencies, and the impact of changes. Use when the user asks to "find callers", "check dependencies", "what uses this", or when exploring codebase structure to avoid breaking changes.

Searches conversation history and semantic memory to find previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting new work to recall prior decisions and avoid repeating past discussions.

Audit, implement, and optimize SEO for any website following Google's AI optimization guide. Covers meta tags, Open Graph, Twitter Cards, JSON-LD structured data, canonical URLs, llms.txt, sitemap, and AI-discoverability.