name	facet-prompt-optimizer
description	Use when bootstrapping a facet ground-truth dataset, running initial facet evals, or later optimizing a facet prompt in this repo.

Instructions

Follow the workflow in README.md. Treat the README as the source of truth for commands, defaults, and sequencing.

Agent guardrails

Do not duplicate workflow instructions here. Update the README first when the workflow changes.
Use the latest bt CLI and call bt eval directly for evals.
Keep customer-owned prompts and generated datasets in local ignored paths such as .local/facet-optimizer.
Do not treat production facet outputs as ground truth; use generated or reviewed expected values.
Do not proceed from dataset creation to prompt optimization until the user has reviewed the dataset balance and initial evals.

name	facet-prompt-optimizer
description	Use when bootstrapping a facet ground-truth dataset, running initial facet evals, or later optimizing a facet prompt in this repo.

Follow the workflow in README.md. Treat the README as the source of truth for commands, defaults, and sequencing.

Do not duplicate workflow instructions here. Update the README first when the workflow changes.
Use the latest bt CLI and call bt eval directly for evals.
Keep customer-owned prompts and generated datasets in local ignored paths such as .local/facet-optimizer.
Do not treat production facet outputs as ground truth; use generated or reviewed expected values.
Do not proceed from dataset creation to prompt optimization until the user has reviewed the dataset balance and initial evals.