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Jupyter notebook

Skill planifest/planifest-framework/planifest-framework/external-skills/jupyter-notebook

A specification framework for agentic development. Agents build from complete specs - not guesses.

Install
npx -y skills add planifest/planifest-framework --skill jupyter-notebook

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Notebook delivery workflow for software teams requiring reproducible execution, clear narrative, and shareable evidence. Use when analysis, experiment, or verification results must be delivered as executable notebook artifacts; do not use for product requirement prioritization or architecture topology selection.

SKILL.md

2.8 KB, as published. Nobody here has run it

Jupyter Notebook

Overview

Use this skill to produce notebooks another engineer can execute and trust without hidden assumptions.

Scope Boundaries

  • Use this skill when the task matches the trigger condition described in description.
  • Do not use this skill when the primary task falls outside this skill's domain.

Shared References

  • Notebook structure guidance:
    • references/notebook-structure.md
  • Reproducibility and sanitization rules:
    • references/reproducibility-and-sanitization-rules.md

Templates And Assets

  • Notebook run log template:
    • assets/notebook-run-log-template.md
  • Notebook result summary template:
    • assets/notebook-summary-template.md
  • Delivery checklist:
    • assets/notebook-delivery-checklist.md

Inputs To Gather

  • Notebook purpose (exploration, debug, tutorial, verification).
  • Runtime constraints (Python version, package policy, data access).
  • Expected deliverable shape (single notebook or multi-notebook set).
  • Sharing boundary (internal-only vs external audience).

Deliverables

  • Executable notebook with deterministic order.
  • Runtime/dependency assumptions and execution log.
  • Decision-grade summary linked to output cells.
  • Sanitized artifact for sharing when required.

Workflow

  1. Define audience, decision question, and reproducibility constraints.
  2. Create scaffold with scripts/new_notebook.py when useful.
  3. Structure notebook sections per references/notebook-structure.md.
  4. Execute from fresh kernel and record results in assets/notebook-run-log-template.md.
  5. Summarize findings with assets/notebook-summary-template.md.
  6. Validate shareability via assets/notebook-delivery-checklist.md.

Scripts

  • Create experiment scaffold:
    • python3 scripts/new_notebook.py --kind experiment --title 'My Experiment' --out output/notebooks/my-experiment.ipynb
  • Create tutorial scaffold:
    • python3 scripts/new_notebook.py --kind tutorial --title 'My Tutorial' --out output/notebooks/my-tutorial.ipynb

Quality Standard

  • Notebook runs top-to-bottom from fresh kernel.
  • Claims are tied to explicit output evidence.
  • Runtime and data assumptions are reproducible.
  • Shared outputs are sanitized for secrets and personal data.

Failure Conditions

  • Stop when runtime/data preconditions cannot be specified precisely.
  • Stop when repeated runs produce unstable outputs without explanation.
  • Stop external sharing when sensitive output cannot be sanitized.

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