delegate-router: multi-model task delegation for Claude Code and Codex CLI

One agent thinks, another types. delegate-router is an agent skill (SKILL.md, the Agent Skills format) for Claude Code and OpenAI Codex CLI that works as an LLM router for coding work. It hands bulky, already-decided work (boilerplate, scaffolding, test stubs, mechanical edits across many files, reading media and long documents) to another model you already pay for: Codex (GPT models), Gemini through the Antigravity agy CLI, or a Claude Opus subagent. The host keeps the design and the verification, and saves its own quota and context.

• Routing by task, not by habit. ROUTING.md maps each kind of task to an ordered list of models, chosen from independent benchmarks and cost per task. It skips any CLI you don’t have, never routes back to the host’s own model (except an Opus subagent under an Opus host, which keeps the main context clean), and prefers a model on another of your subscriptions, so the work spreads across the plans you pay for.
• A judge before every handoff. Four gates (bulk, decided, verifiable, contained) and a never-delegate list (debugging, architecture, security code, anything under ~40 lines).
• The host always verifies. A delegate’s “done” isn’t evidence: the host runs the check and reads the diff.
• Routes that keep up on their own. Every 12 h, model_watch.py notices new models in your CLIs and the vendors’ release notes, re-checks the routes against a fresh benchmark snapshot, and tells you when a route should change. A tracker rescaling its scores moves nothing; a model that really beats the holder does.

New in v1.4: work goes to a model on another of your subscriptions first, so your main agent’s quota isn’t spent twice (how). Each route is judged on its own benchmark, and a route switches only on a cost per task measured on our bench (how). See the changelog.

Interactive diagram: docs/workflow.html (open it locally).

Requirements

• macOS or Linux, git, python3 3.9+.
• **Your main agent is Claude Code (claude) or