// Reset local experiment state to a fresh slate by clearing runs, prediction outputs, scaling snapshots, and database index files under data/.
Create and execute scenario YAML files for architecture what-if predictions.
Prepare and run evaluator-gated SAS and MAS experiments with explicit batch control and mandatory elasticity calibration for scenario scaling.
Create or repair Brainqub3 task packages that must pass evaluator tests before runs, including both fabricated instances and user-provided data workflows.
Build or repair task evaluators and evaluator tests with deterministic-first strategy.
Generate markdown reports with observed metrics, predicted metrics, and architecture recommendations.
| name | cleanup-reset |
| description | Reset local experiment state to a fresh slate by clearing runs, prediction outputs, scaling snapshots, and database index files under data/. |
| allowed-tools | ["Read","Edit","Bash"] |
data/runs, data/db, data/scaling, and data/predictions contents.data/scenarios, data/.gitkeep, and data/paper_extracted_text.txt by default.data/db/brainqub3.sqlite.uv run python .claude/skills/cleanup-reset/scripts/reset_data.py
data/runs emptydata/db emptydata/scaling emptydata/predictions empty (if present)uv run python .claude/skills/cleanup-reset/scripts/reset_data.py --wipe-scenarios --wipe-paper-text
uv run python .claude/skills/cleanup-reset/scripts/reset_data.py --dry-run