| name | agent-orchestrator |
| description | Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion.
MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
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Agent Orchestrator
Orchestrate complex tasks by decomposing them into subtasks, spawning autonomous sub-agents, and consolidating their work.
Core Workflow
Phase 1: Task Decomposition
Analyze the macro task and break it into independent, parallelizable subtasks:
1. Identify the end goal and success criteria
2. List all major components/deliverables required
3. Determine dependencies between components
4. Group independent work into parallel subtasks
5. Create a dependency graph for sequential work
Decomposition Principles:
- Each subtask should be completable in isolation
- Minimize inter-agent dependencies
- Prefer broader, autonomous tasks over narrow, interdependent ones
- Include clear success criteria for each subtask
Phase 2: Agent Generation
For each subtask, create a sub-agent workspace:
python3 scripts/create_agent.py <agent-name> --workspace <path>
This creates:
<workspace>/<agent-name>/
âââ SKILL.md # Generated skill file for the agent
âââ inbox/ # Receives input files and instructions
âââ outbox/ # Delivers completed work
âââ workspace/ # Agent's working area
âââ status.json # Agent state tracking
Generate SKILL.md dynamically with:
- Agent's specific role and objective
