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Agent Dispatch

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Description

Free skill for Claude Code, Cursor and any agent client: picks the model for each subagent by the type of task — small for translations and mechanical work, big for design, code and the final review. Declares the split, reports the measured spend.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Agent Dispatch — which model runs each subagent

[![license](https://img.shields.io/github/license/Octonove/agent-dispatch)](LICENSE) [![skill](https://img.shields.io/badge/skill-Claude%20Code%20%C2%B7%20Cursor%20%C2%B7%20any%20agent%20client-1E3A5F)](SKILL.md) [![español](https://img.shields.io/badge/lee%20en-espa%C3%B1ol-b85f2c)](README.es.md)

A free, standalone skill that stops every subagent from running on your biggest model.

By default, Claude Code hands every subagent the model you have selected for the session. So when a task fans out into nine agents, all nine run on Fable 5.1 (or Opus, or whatever you picked) — the four that translate a `messages.json` file cost the same per token as the one that designs the architecture. This skill makes the split explicit before anything launches: **the model is picked by the type of task, never by the importance of the project.**

![Agent Dispatch demo](https://raw.githubusercontent.com/Octonove/agent-dispatch/main/docs/demo.gif)

The rule in one table

Type of task Examples Model · effort
Mechanical translations of fixed strings, listing, counting, measuring, running a script and reporting the output, checking that a manifest parses small (e.g. Haiku) · low
Bounded analysis summarizing a module, mapping dependencies, writing tests from a clear spec, one mechanical change across many files mid (e.g. Sonnet) · medium
Judgment architecture, writing the code that decides how something works, choosing between options, the final review, anything that ships the session's model (e.g. Fable 5.1, Opus) · high

Plus four guardrails the skill enforces: the final reviewer never gets cheapened; a small agent that fails moves the task up a tier instead of being retried; fewer agents beat more agents; and every run **declares its split before launching and reports the measured spend after** — or says "not measured". No invented savings.

Worked example: a