Run only when the user explicitly invokes /efficient-orchestrator (or the /efficient-frontier and /efficient-fable aliases). Keeps an expensive model (Fable, Opus, Astra, Sol) on planning, judgment and review while cheaper subagents do bounded research, coding, QA and log work. Never self-activate.
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SKILL.md
name: efficient-orchestratordescription: Run only when the user explicitly invokes /efficient-orchestrator (or the /efficient-frontier and /efficient-fable aliases). Keeps an expensive model (Fable, Opus, Astra, Sol) on planning, judgment and review while cheaper subagents do bounded research, coding, QA and log work. Never self-activate.disable-model-invocation: true
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
Keep at the top: architecture, prioritization, ambiguity, risk, synthesis
and final review.
Delegate: repo scans, research, narrow patches with clear file ownership,
test and browser passes, failure clustering, log reduction.
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.