claude

model-router

Recommends the cheapest model, effort level, and execution shape that will complete a task reliably — routing atomic tasks with choose-model and decomposing multi-model work into routed execution plans with plan-execution — from versioned per-provider routing policies (Anthropic and OpenAI) and a project-local calibration log.

0 on GitHubby jr-jesse123MITupdated 3 days agoproductivity
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Plugin model-router from marketplace jr-claude-toolkit in jr-jesse123/claude-tookit. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (4)

  • choose-model

    Recommend the cheapest model, effort level, and execution shape likely to complete a proposed task reliably, across the providers the project accepts (currently Anthropic and OpenAI). Routes one atomic task; when the shape turns out to be multi-model, it hands off to plan-execution instead of guessi

  • log-calibration

    Append an honest entry to the project's model-calibration log after a task finishes, filling the outcome fields from what actually happened in the session. Companion to the choose-model and plan-execution advisors, which advise before the task and never write.

  • plan-execution

    Decompose a task that is too large or heterogeneous to route as one unit, then route each part with the shared rubric — producing an execution plan with parts, dependencies, a model and effort per part, an assembly shape, and fan-out caps, across the providers the project accepts. Companion to choos

  • prepare-prompt

    Adapt a task prompt to the model and harness already selected by model-router, using versioned provider prompting guidance while preserving the user's intent. Use after choose-model or for an already-known target model. Never chooses a model and never executes the task.

View source on GitHub

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