How do I install the Dispatcher skill?

Run npx skillmds@latest add itsssssjack/dispatcher in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Dispatcher safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Dispatcher?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Dispatcher free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dispatcher?

itsssssjack (@itsssssjack) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dispatcher by itsssssjack — Agent Skill

Name: Dispatcher
Author: itsssssjack

Dispatcher

Route every task to the cheapest model that can actually do it. Benchmark-aware routing across frontier APIs, cheap CLIs and local models, with a cost receipt per session. Trigger on "route this", "cheapest model for", "save tokens on this", batch/mechanical jobs, or "/dispatcher".

itsssssjack a89a2fa 2.1 KB Updated Sep 17, 2026

File contents

The Dispatcher

Frontier models for judgment. Cheap models for muscle. Never pay Opus prices for grep work.

Wraps the existing model-router (/route) and the Routing Intelligence System. This skill is the POLICY layer the agent applies before starting any substantial task.

The routing table

Task class	Route to	Why
Deep reasoning, architecture, strategy, final copy	Frontier (Fable/Opus tier)	Judgment is the product
Code review of own work, verification passes	Frontier, LOW effort	Cheap insurance
Bulk mechanical: renames, format conversion, scraping glue	Cheap CLI (Kimi/OpenRouter budget tier)	10-30x cheaper, quality identical on mechanical work
Long-context reading (100K+ tokens of docs/logs)	Large-context cheap model (Gemini tier)	Context window is the requirement, not IQ
Overnight/cron jobs (scout runs, digests, dream writes)	Budget tier ALWAYS	Runs 365x/year; cost compounds silently
Private/sensitive data	Local (Ollama) when viable	Data never leaves the box

Protocol

Before any task estimated over ~20K tokens, classify it against the table and state the route in one line: "Routing: bulk transform → Kimi (est. $0.04 vs $1.80 frontier)."
Delegate via the available CLI/subagent for that tier; keep frontier context clean.
Log actual cost per session to the OS usage panel; the weekly roll-up feeds the Dream review.
If the cheap tier fails quality twice, escalate one tier and note it. Never silently retry the same tier 5 times.

The receipt (say it out loud)

End every routed session with the one-line receipt: tokens spent by tier + what the same work would have cost frontier-only. That delta is the whole point. Target: the full overnight stack (scout + dream + digests) under $1/night.

---name: dispatcherdescription: Route every task to the cheapest model that can actually do it. Benchmark-aware routing across frontier APIs, cheap CLIs and local models, with a cost receipt per session. Trigger on "route this", "cheapest model for", "save tokens on this", batch/mechanical jobs, or "/dispatcher".---# The DispatcherFrontier models for judgment. Cheap models for muscle. Never pay Opus prices for grep work.Wraps the existing model-router (`/route`) and the Routing Intelligence System. This skill is the POLICY layer the agent applies before starting any substantial task.## The routing table| Task class | Route to | Why ||---|---|---|| Deep reasoning, architecture, strategy, final copy | Frontier (Fable/Opus tier) | Judgment is the product || Code review of own work, verification passes | Frontier, LOW effort | Cheap insurance || Bulk mechanical: renames, format conversion, scraping glue | Cheap CLI (Kimi/OpenRouter budget tier) | 10-30x cheaper, quality identical on mechanical work || Long-context reading (100K+ tokens of docs/logs) | Large-context cheap model (Gemini tier) | Context window is the requirement, not IQ || Overnight/cron jobs (scout runs, digests, dream writes) | Budget tier ALWAYS | Runs 365x/year; cost compounds silently || Private/sensitive data | Local (Ollama) when viable | Data never leaves the box |## Protocol1. Before any task estimated over ~20K tokens, classify it against the table and state the route in one line: "Routing: bulk transform → Kimi (est. $0.04 vs $1.80 frontier)."2. Delegate via the available CLI/subagent for that tier; keep frontier context clean.3. Log actual cost per session to the OS usage panel; the weekly roll-up feeds the Dream review.4. If the cheap tier fails quality twice, escalate one tier and note it. Never silently retry the same tier 5 times.## The receipt (say it out loud)End every routed session with the one-line receipt: tokens spent by tier + what the same work would have cost frontier-only. That delta is the whole point. Target: the full overnight stack (scout + dream + digests) under $1/night.

Frequently asked questions