oma-orchestrator

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Automated multi-agent orchestrator that spawns CLI subagents in parallel, coordinates via MCP Memory, and monitors progress. Use for orchestration, parallel execution, and automated multi-agent workflows.

AI & Automation 1,195 stars 136 forks Updated today MIT

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Skill Content

# Orchestrator - Automated Multi-Agent Coordinator ## Scheduling ### Goal Automatically orchestrate multi-agent execution with task decomposition, native/fallback dispatch, memory coordination, progress monitoring, verification, QA cross-review, retry, and result collection. ### Intent signature - User asks to orchestrate, run in parallel, automate multi-agent execution, or coordinate full-stack work end to end. - Task requires multiple specialist agents and a persistent review/remediation loop. ### When to use - Complex feature requires multiple specialized agents working in parallel - User wants automated execution without manually spawning agents - Full-stack implementation spanning backend, frontend, mobile, and QA - User says "run it automatically", "run in parallel", or similar automation requests ### When NOT to use - Simple single-domain task -> use the specific agent directly - User wants step-by-step manual control -> use oma-coordination - Quick bug fixes or minor changes ### Expected inputs - Complex feature or workflow request - Project config, model/vendor routing, agent types, task constraints, and workspace/session needs - Acceptance criteria and verification expectations ### Expected outputs - Orchestrator session state, task board, progress files, result files, and final summary - Specialist agent outputs after mechanical checks, automated verify, and QA cross-review - Review history and retry/remediation status when loops fail ### Dependencies - `.a...

Details

Author
first-fluke
Repository
first-fluke/oh-my-agent
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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