← ClaudeAtlas

ccc-orchestratelisted

Cross-runtime Orchestrator/Executor — Fable/Opus writes a goal file, GPT-5.6 Sol (codex) or a Sonnet subagent executes it, Fable/Opus verifies against acceptance criteria before reporting done.
KevinZai/commander · ★ 6 · AI & Automation · score 74
Install: claude install-skill KevinZai/commander
# $ccc-orchestrate — Cross-Runtime Orchestrator/Executor Orchestrate splits work across **two different model runtimes**, not just two tiers of the same one. A capable model (**Fable 5** or **Opus 4.8** — the calling session, i.e. "you") compresses a fuzzy request into a tight, testable **goal file**. Execution then happens **outside this runtime entirely** — on **GPT-5.6 Sol via the `codex` CLI**, or on a **Sonnet subagent** if codex isn't available. The orchestrator never writes production code itself. **CC Commander** · Cross-Runtime Orchestrate · [Docs](https://commanderplugin.com) > This is `$ccc-plan-exec` generalized past Claude-only: instead of plan (cheap Claude) → execute (capable Claude), it's plan (Fable/Opus) → execute (a *different runtime* — GPT-5.6 or Sonnet). The goal file is the interface between the two systems, so it has to have real teeth. --- ## Why cross-runtime Fable/Opus is expensive per token but excellent at compressing a fuzzy request into a tight, unambiguous spec. GPT-5.6 Sol at high/xhigh reasoning is a strong, comparatively cheaper implementer for well-specified work. The split only pays for itself if the goal file is genuinely load-bearing — vague or hand-wavy acceptance criteria collapse the whole advantage, because the orchestrator ends up re-explaining the task on every re-dispatch anyway. Write the goal file as if the executor has zero conversational context, because on the codex path it does. **Model guidance (GPT-5.6 family, `comm