Planner-Worker Model Tiering
Stretch Claude usage limits: strongest model plans and reviews, cheaper models do reading and routine code, with escalation rules.
Before & after
Same prompt, same agent — the only difference is the skill.
To manage usage limits on a large build, you could break the work into smaller chunks and be strategic about which parts need the most capable model. Some ideas: - Use a more capable model for planning and architecture - Use a cheaper model for routine implementation - Break the work into phases - Review outputs before continuing The most token-intensive work is often the back-and-forth during implementation, so having a clear plan upfront reduces wasted effort. How large is the build, and what does it involve?
Right instinct — the burn is in implementation, not planning. This wraps
your build in a planner-first flow that keeps the premium model OUT of
the code entirely.
THE FLOW
1. PLANNER (premium model) reads the PRD, asks clarifying questions,
produces a spec-driven multi-phase architecture. This is where
judgment matters and it's cheap — planning is a fraction of a
build's tokens.
2. Each phase hands off to a CHEAPER sub-agent, matched to the work:
Research / exploration → Haiku (cheapest, fine for reading)
Scaffolding / boilerplate → Sonnet
Heavier implementation → Opus 4.8
3. AUTOMATIC CHECKPOINTS + self-review between phases, so a cheap
worker going off-spec is caught before it compounds.
THE RULE THAT SAVES THE TOKENS
The premium model NEVER touches implementation. It plans, it reviews at
checkpoints, and it delegates. Implementation — the token-heavy
back-and-forth you're worried about — runs on cheaper models. That's the
whole savings mechanism: you're paying premium rates for judgment, cheap
rates for typing.
WHY CHECKPOINTS MATTER HERE
A cheap worker with no oversight drifts, and fixing drift costs more than
it saved. The checkpoints let the planner catch a phase that went sideways
and correct course — so you get cheap-model economics with premium-model
judgment on the decisions that matter.
WHAT YOU GET
A long build that would have burned your weekly limit runs mostly on
sub-agents, with the premium model spending its tokens on the plan and the
checkpoints — the two places its judgment actually changes the outcome.
Point me at the PRD and I'll run the planner pass first: clarifying
questions, then the phased architecture with a model assigned per phase.About this skill
Finish long builds without burning your strongest model's allowance. The top model plans and reviews; cheaper models do the reading, tests, and routine code.
What it does
- Assigns a model tier per task by difficulty and risk
- Writes briefs precise enough for mid and small models to pass on the first try
- Sets an escalation rule so a failing cheap worker moves up a tier instead of looping
- Keeps the planner out of bulk reading and has it review diffs at phase checkpoints
- Measures real usage before promising savings
What you get
A tier plan table, planner-only items, escalation rule, checkpoints, subagent definitions with model fields, and a measurement plan.
Best for
Heavy Claude Code users on usage-capped plans and teams paying per token who want to cut spend without losing quality.
SKILL.md preview
---
name: premium-planner-cheap-worker-orchestrator
description: Stretch Claude usage limits and API spend on a long build by keeping the strongest model for planning and review while cheaper models do the reading, scaffolding, and routine coding - assign a model tier per task, write briefs precise enough for a small model to succeed, set escalation rules when a cheap worker fails, and measure whether it actually saved anything. Use when the user says "I'm about to hit my weekly limit", "use Opus to plan and Sonnet to code", "which model should do which part", "cut my Claude Code costs", "make Haiku do the grunt work", or casually "how do I build this without burning my usage?"
---
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