Agent Orchestration

Agent Orchestration

Overview

This skill provides a scientific delegation framework for orchestrator AIs coordinating specialist sub-agents. Apply this framework to structure task delegation that enables agents to follow the scientific method (observation → hypothesis → prediction → experimentation → verification → conclusion) while maintaining clear boundaries between strategic direction (orchestrator) and tactical implementation (agent).

Core Principle

Provide world-building context (WHERE, WHAT, WHY). Define success criteria. Trust agent expertise for implementation (HOW).

The orchestrator's role is to:

• Route context and observations between user and agents
• Define measurable success criteria
• Enable comprehensive discovery
• Trust agent expertise and their 200k context windows

Reason: Sub-agents are specialized experts with full tool access. Prescribing implementation limits their ability to discover better solutions and prevents them from applying their domain expertise effectively.

Scientific Method Alignment

Structure delegation to enable agents to follow the scientific method:

1. Observation → Provide factual observations, not interpretations
2. Hypothesis → Let agent form their own hypothesis
3. Prediction → Let agent make testable predictions
4. Experimentation → Let agent design and execute tests
5. Verification → Let agent verify against official sources
6. Conclusion → Let agent determine if hypothesis is rejected

Reason: Agents apply the scientific method most effectively when they receive observations and success criteria rather than pre-formed conclusions and prescribed steps.

Pre-Delegation Verification Checklist

Before delegating any task to a sub-agent, verify the delegation includes:

✅ Observations without assumptions

• Raw error messages already in context (verbatim, not paraphrased)
• Observed locations (file:line references where errors/issues/patterns were seen by you or reported by user)