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prompt-optimizer

A/B test CLAUDE.md instruction changes against eval benchmarks. Capture baselines, test variants, compare results.

35estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add haabe/mycelium

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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Ler descrição completa

Prompt Optimizer

Systematically improve Mycelium instructions through measurement. Adapted from n-trax.

Commands

baseline -- Capture current performance

  1. Run /mycelium:eval-runner run-split optimization — record as optimization scores
  2. Run /mycelium:eval-runner run-split holdout — record as holdout scores
  3. Record both to .claude/optimization/baseline.json: timestamp, CLAUDE.md hash, optimization metrics, holdout metrics, overall and per-category metrics

test <variant> -- Test a variant

  1. Read variant from .claude/optimization/variants/<variant>.md
  2. Apply the CLAUDE.md changes described
  3. Run /mycelium:eval-runner run-split optimization — this is the hill-climbing signal
  4. Run /mycelium:eval-runner run-split holdout — this validates generalization
  5. Store results in .claude/optimization/results/<variant>.json
  6. Compare against baseline. Flag overfitting if optimization improves but holdout degrades.
  7. Do NOT auto-revert -- let user decide

report -- Compare all variants

Generate comparison table with split-aware columns:

| Variant | Opt Pass Rate | Holdout Pass Rate | Delta Opt | Delta Holdout | Overfit? | Decision |

Flag Overfit? = YES when optimization delta is positive but holdout delta is negative.

exemplar <eval-name> -- Capture winning trajectory

After a clean eval win (1 iteration, fast), save the approach to .claude/optimization/exemplars/.

Workflow

  1. Capture baseline
  2. Hypothesize an instruction improvement
  3. Document in variants/ directory
  4. Test the variant
  5. Compare via report
  6. Keep or revert based on data
  7. Capture exemplars from clean wins
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