Menu
A/B test CLAUDE.md instruction changes against eval benchmarks. Capture baselines, test variants, compare results.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Accessibility audit against WCAG 2.1 AA. Checks semantic HTML, ARIA, keyboard navigation, color contrast, screen reader compatibility.
Design the smallest viable test to validate or invalidate a critical assumption. Based on Torres's assumption testing framework.
Use before any research activity or significant decision. Reviews cognitive biases relevant to the current stage.
Use to evaluate whether current work aligns with Better Value Sooner Safer Happier. Run at diamond completion and periodically.
Synchronize canvas state across team sessions via git. Ensures all team members see the same product knowledge.
Update canvas sections with new evidence. Ensures canvas stays current as the single source of truth.
| name | prompt-optimizer |
| description | A/B test CLAUDE.md instruction changes against eval benchmarks. Capture baselines, test variants, compare results. |
Systematically improve Mycelium instructions through measurement. Adapted from n-trax.
baseline -- Capture current performance/eval-runner run-all.claude/optimization/baseline.json: timestamp, CLAUDE.md hash, overall and per-category metrics (pass_rate, avg_iterations, avg_time)test <variant> -- Test a variant.claude/optimization/variants/<variant>.md/eval-runner run-all.claude/optimization/results/<variant>.jsonreport -- Compare all variantsGenerate comparison table: variant, pass rate, delta vs baseline, avg iterations, decision (keep/revert).
exemplar <eval-name> -- Capture winning trajectoryAfter a clean eval win (1 iteration, fast), save the approach to .claude/optimization/exemplars/.