enrich-notebooks

---

name: enrich-notebooks description: Enrich Jupyter notebooks with pedagogical markdown content. Arguments: [target] [--execute] [--fix-errors] [--strict] [--consecutive] [--iterate]

Enrich Notebooks

Add pedagogical markdown content to Jupyter notebooks.

Target: $ARGUMENTS

Arguments

• target: Notebook path, family name (Infer, Sudoku, Tweety, Lean, GenAI, etc.), or all
• --execute: Run notebooks and capture outputs before enriching
• --fix-errors: Correct code errors found during execution
• --strict: Require interpretation after EVERY code cell
• --consecutive: Focus on consecutive code cells without markdown
• --iterate: Use cell-iterator for iterative correction

Process

1. Parse target - Discover notebooks to enrich

2. For each notebook, launch a background agent:

   • Read the notebook-enricher agent instructions (.claude/agents/notebook-enricher.md)
   • Analyze structure: python scripts/notebook_tools/notebook_helpers.py list {path} --verbose
   • Find gaps programmatically (Python API):

     from scripts.notebook_helpers import NotebookHelper
     helper = NotebookHelper(path)
     gaps = helper.find_cells_needing_enrichment()      # Cells missing interpretation
     consecutive = helper.find_consecutive_code_cells()  # Code cells without markdown between
     

   • Validate placement: helper.validate_enrichment_context(cell_index) returns what's needed
   • Insert markdown cells via NotebookEdit (bottom-to-top to preserve indices)
   • Verify with: helper.get_cell_sequence(start, end) after each insertion

3. If --execute: Execute notebooks first to capture outputs for interpretation

4. If --fix-errors: Analyze errors, propose corrections, re-execute

5. If --consecutive: Prioritize fixing consecutive code cells

6. If --iterate: Use notebook-cell-iterator agent for targeted cell fixes

Agent Delegation

Use model: sonnet for enrichment agents (good balance of speed and quality). For complex domains (Probas, Lean), consider model: inherit for better reasoning.

Task(
    subagent_type="general-purpose",
    model="sonnet",
    prompt="Tu es un agent notebook-enricher. Lis .claude/agents/notebook-enricher.md. Enrichis: {path}",
    description=f"Enrich {name}",
    run_in_background=True
)

Enrichment Criteria

Type	Placement	Tense
Section intro	BEFORE code	Future: "This code will..."
Code explanation	BETWEEN code cells	Present: "This function..."
Result interpretation	AFTER code output	Past: "The results show..."
Transition	Between sections	"After seeing X, let's explore Y..."
Conclusion	End of section	Summary table

After Enrichment

• Verify with git diff (expect more insertions than deletions)
• Consider running /cleanup-notebooks to fix any positioning issues
• Update MEMORY.md with lessons learned about positioning accuracy