ToolMonsters

Premium Router — Development skill for Claude Code

Development community

Fable brain, Haiku price: a Claude Code Skill where Fable 5 does the judgment and Haiku 4.5 does the volume.

How to install Premium Router

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

What Premium Router does

Fable brain, Haiku price: a Claude Code Skill where Fable 5 does the judgment and Haiku 4.5 does the volume. Distill rulebooks, classify at ~10x lower cost, analyze big corpora with Haiku workers.

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README

premium-router

**Fable brain, Haiku price.** A Claude Code Skill that gives you Claude Fable 5 quality while paying close to Claude Haiku 4.5 rates.

One principle drives everything here: **Fable does the judgment, Haiku does the volume.** Writing good decision rules is hard (Fable's job, paid once). Applying them is easy (Haiku's job, paid at 1/10th the rate). Reading a mountain of documents is volume (Haiku workers). Deciding what the mountain means is judgment (Fable, reading only the compressed briefs).

Everything in this repo was measured live on the API, including the approaches that FAILED. The anti-patterns section is as important as the features.

Quickstart (5 minutes)

# 1. Install
git clone https://github.com/ToolMonsters/premium-router ~/.claude/skills/premium-router
cd ~/.claude/skills/premium-router && pip install -r requirements.txt
export ANTHROPIC_API_KEY="your-key"   # never committed

# 2. Teach it once: Fable writes the rulebook from your labeled examples
python route.py distill --task-type my_task --examples my_examples.txt

# 3. Use it forever: Haiku applies the rulebook, ~10x cheaper
python route.py classify --task-type my_task --input "a new message"

# 4. For document analysis: Fable judges, Haiku workers read when it is big
python route.py analyze --mission "Prioritize these accounts for this week" \
  --docs thread1.txt thread2.txt transcript3.txt

The repo ships with a ready-made rulebook (`sales_reply_classification`), so you can skip step 2 to try it immediately.

The three commands

Command Who thinks Who does volume When to use
distill Fable (effort high, once) nobody teach a new repeatable task
classify Haiku (Fable on escalation) Haiku every repeatable request
analyze Fable (effort low) Haiku workers if corpus is large judgment over documents

Measured results (live on the API, not estimates)

classify: same accuracy as Fable, ~10x cheaper