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23blocks-OS/ai-maestro-plugins Skills

(6)

Browse AI agent skills from 23blocks-OS/ai-maestro-plugins for Claude Code, OpenClaw, Cursor, Windsurf, and more. Install them with a single command to extend what your agents can do.

agent-messaging

23blocks-OS/ai-maestro-plugins

2

Sends and receives messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message", "check inbox", "read messages", "reply to a message", "notify an agent", "tell agent X", "check for messages", "register with a provider", or any inter-agent communication task.

ai-maestro-agents-management

23blocks-OS/ai-maestro-plugins

2

Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use this skill when the user asks to "create agent", "list agents", "delete agent", "rename agent", "hibernate agent", "wake agent", "install plugin", "show agent", "export agent", or any agent lifecycle management.

docs-search

23blocks-OS/ai-maestro-plugins

2

PROACTIVELY search auto-generated documentation when receiving ANY user instruction. Search for function signatures, API documentation, class definitions, and code comments BEFORE implementing anything. Your codebase documentation is valuable - use it first.

graph-query

23blocks-OS/ai-maestro-plugins

2

PROACTIVELY query the code graph database to understand relationships and impact of changes. Use this skill WHEN READING any file to understand context, when searching for files, when exploring the codebase, or when you need to understand what depends on a component. This is your primary tool for understanding code structure and avoiding breaking changes.

memory-search

23blocks-OS/ai-maestro-plugins

2

PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.

planning

23blocks-OS/ai-maestro-plugins

2

Use persistent markdown files for complex task execution. Creates task_plan.md, findings.md, and progress.md. 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.

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