Build or improve Jupyter notebooks iteratively with quality scoring. Arguments: <new|improve|fix> <path> [--topic] [--domain] [--level] [--quality] [--max-iter]
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Create, improve, or fix Jupyter notebooks iteratively.
Action: $ARGUMENTS
new - Create from scratchRequires: --topic, --domain (ML, Probas, GenAI, GameTheory, SymbolicAI, Sudoku, Search), --level (intro, intermediate, advanced)
improve - Enhance existing notebookRequires: notebook path, optional --quality (0-100, default 90), --focus (execution, pedagogy, content, structure)
fix - Correct execution errorsRequires: notebook path, optional --max-iter (default 5)
while iteration < max_iterations and score < quality_target:
1. Execute notebook (notebook-executor agent)
2. Validate all aspects (notebook-validator agent)
3. Plan corrective actions (prioritized by severity)
4. Apply via appropriate sub-agent (enricher, cell-iterator, cleaner)
5. Re-validate and measure improvement
| Category | Weight | Criteria |
|---|---|---|
| Structure | 15% | Valid JSON, metadata, cells |
| Syntax | 15% | Valid code, markdown, LaTeX |
| Execution | 30% | No errors, no timeouts |
| Pedagogy | 25% | Progression, code/markdown ratio, explanations |
| Content | 15% | Visualizations, formulas, conclusion |
| Agent | Role | Model |
|---|---|---|
| notebook-designer | Create initial structure | inherit |
| notebook-executor | Run the notebook | sonnet |
| notebook-validator | Evaluate quality | sonnet |
| notebook-enricher | Add pedagogical content | sonnet |
| notebook-cell-iterator | Fix specific cells | sonnet |
| notebook-cleaner | Clean structure | sonnet |
haiku for quick validation checkssonnet for enrichment and standard fixessonnet for complex design and orchestration — opus and inherit are never used on po-* posts, except on a lane authorized by name (point 3: myia-po-2024:CoursIA-3) (mandat user 2026-10-10, cf model-delegation.md point 3)No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Cycle 30 min du secrétaire vérificateur myia-po-2026:CoursIA-3. Atteste en tiers, du plus ancien au plus récent, les PRs ouvertes sans dossier valide (chaque READY, une fois lu et approuvé par ai-01, est mergé sans attendre son cycle), et fait circuler l'information sur workspace-CoursIA-3.
The English summary is being prepared. Showing the original description.
Analyze a Slidev deck qualitatively — organ reports (structure, composition) + vision AI on rendered PNGs. Arguments: <deck_id> [--slides 1,5,10]
The English summary is being prepared. Showing the original description.
Detect cell-ordering / enchainement problems in Jupyter notebooks (canonical-order slippage, misplaced or forgotten cells). Arguments: [target] [--severity HIGH|MED|LOW] [--json]
The English summary is being prepared. Showing the original description.
Clean up and reorganize markdown in enriched Jupyter notebooks. Arguments: [target] [--dry-run] [--aggressive] [--hierarchy-only]
The English summary is being prepared. Showing the original description.
Cycle de coordination ai-01 (coordinateur UNIQUEMENT — jamais sur un worker). Lit memoire + dashboards + inbox + GitHub, merge les PRs pretes, tranche les design-gates, dispatche des grains par lane, reporte. Arguments: [--dispatch] [--focus <topic>]
The English summary is being prepared. Showing the original description.
Cycle horaire du coordinateur adjoint myia-po-2025:CoursIA-2. Réduit la file, répond aux ASK CoursIA-2, publie des preflights COMMENTED et dispatche les lanes CoursIA-2, sans merge ni arbitrage réservé à ai-01.
The English summary is being prepared. Showing the original description.