ai-maestro
By 23blocks-os
Orchestrate multi-agent AI coding workflows by enabling inter-agent messaging via bash scripts, proactive searches of conversation memory, codebase documentation, and code graphs for dependencies, plus persistent multi-step task planning in markdown files to track progress and prevent context loss. Manage agent lifecycles with CLI and run Node.js hooks for session events.
Component Overview
Install
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin 23blocks-os-ai-maestroComponent Details
Skills (5)
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.
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.
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.
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
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.
Hooks (1)
README
-lightgrey){kind=icon}
Similar Plugins
claude-obsidian
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault. Covers memory management, session notetaking, knowledge organization, and agent context across projects. Based on Andrej Karpathy's LLM Wiki pattern. Optional DragonScale Memory extension adds hierarchical log folds, deterministic page addresses, embedding-based semantic tiling lint, and boundary-first autoresearch topic selection.