Efficient Orchestrator

Use this only when the user asks for it by name. Without that request, do the work yourself and don't spawn helpers.

The expensive main model plans, decides, integrates and reviews. Cheaper subagents do the token-heavy, bounded work.

Model tiers

Main model	Cheap helpers	Use
Claude Fable / Opus	haiku	search, scans, docs extraction, log reduction, mechanical edits, test and browser runs
	sonnet	coding or analysis that needs judgment
OpenAI Astra / Sol	gpt-6.1-terra low or medium	coding, QA, research, most delegated work
	gpt-6-luna	bulk mechanical scans, only when Terra isn't needed

Set the model and effort explicitly on every spawn; never let a helper inherit the expensive model. If the main model is already a cheap tier, don't use this skill.

Workflow

1. Keep at the top: architecture, prioritization, ambiguity, risk, synthesis and final review.
2. Delegate: repo scans, research, narrow patches with clear file ownership, test and browser passes, failure clustering, log reduction.
3. Write each handoff as a self-contained packet: repo path, objective, scope and out-of-scope, files or search targets, verification command, return format, stop conditions.
4. Require compact returns: findings, changed files, commands run, evidence, open decisions.
5. Inspect the evidence that matters before claiming done. Delegated output is evidence, not a verdict.

Limits

• At most 3, 5 helpers at once. Helpers never spawn their own helpers.
• Close each helper as soon as its result is in.
• Don't delegate the blocker your next step depends on, and never give two helpers the same files.
• Stop helpers that return nothing usable twice; do that step yourself.
• When done, say roughly how much work was delegated, so the cost is visible.