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export vs jupyter-notebook

Which agent skill is right for you?

01 — TL;DR

If you need self-containment above all else, pick jupyter-notebook (3.5/5). export (4.2/5) is a reasonable alternative if you're already in its source ecosystem. They overlap in agent skill territory.

02 — At a glance

Side by side

export

4.2/5

Category
General
Source
skillsmp.com
Tier
Reviewed
First published
2026-06-02
Trigger clarity
4.5
4.5
Output specificity
4.5
4.5
Scope precision
4.5
4.5
Self-containment
3.5
3.5
Reusability
3.5
3.5

jupyter-notebook

3.5/5

Category
General
Source
github:openai/skills
Tier
Reviewed
First published
2026-05-19
Trigger clarity
4.5
4.5
Output specificity
4.5
4.5
Scope precision
4.5
4.5
Self-containment
4.5
4.5
Reusability
3.5
3.5
03 — Dimension breakdown

Where they differ

  1. Trigger clarity. trigger clarity: export and jupyter-notebook score essentially the same (4.5 vs 4.5). Neither has an edge here.
  2. Output specificity. output specificity: export and jupyter-notebook score essentially the same (4.5 vs 4.5). Neither has an edge here.
  3. Scope precision. scope precision: export and jupyter-notebook score essentially the same (4.5 vs 4.5). Neither has an edge here.
  4. Self-containment. self-containment: a meaningful gap. jupyter-notebook scores 3.5 vs 4.5 for the other. If you need this dimension, jupyter-notebook is the right pick.
  5. Reusability. reusability: export and jupyter-notebook score essentially the same (3.5 vs 3.5). Neither has an edge here.
04 — The decision

Which to pick

When to choose export

  • You weight community adoption — export's upstream repo has 60,289 stars vs 19,581.
  • The agent skill convention you're working in matches export's scope.

When to choose jupyter-notebook

  • Your workload emphasizes self-containment — jupyter-notebook scores 3.5 vs 4.5 here.
  • You prefer the official source — jupyter-notebook comes from github:openai/skills, export from skillsmp.com.
  • The agent skill convention you're working in matches jupyter-notebook's scope.
05 — Use cases

Scenario by scenario

Scenario Winner Why
Agent must auto-select between many agent skills either Trigger clarity decides — clearer triggers reduce routing errors.
Output must be a specific file format or structured data either Output specificity determines whether downstream tools can rely on the result.
Skill must be readable and complete out of the box jupyter-notebook Self-containment matters when you're not the original author.
Cross-team or cross-project reuse expected either Reusability separates one-off scripts from durable building blocks.
06 — FAQ

Common questions

Which is better, export or jupyter-notebook?
export ranks higher overall (4.2 vs 3.5 on our 0–5 rubric). That said, the better choice depends on which dimensions matter most for your use case.
Are export and jupyter-notebook both free to use?
Both skills are free and open-source (or freely licensed). export: See source repo. jupyter-notebook: See source repo. Installation has no cost; usage costs depend on the underlying LLM tokens consumed when you invoke the skill.
Can I install both export and jupyter-notebook at the same time?
Yes. Agent skills are not exclusive — an agent runtime (Claude Code, Codex, etc.) can have many skills installed and route to whichever matches the current task. Installing both is a low-cost way to keep your options open.
Where do these skills come from?
export is sourced from skillsmp.com (curated marketplace). jupyter-notebook is sourced from github:openai/skills (official). We verify each skill across multiple sources where possible; export appears in 1 source, jupyter-notebook in 1.
07 — Read the reviews

Go deeper on each

Read full review → export 4.2/5 Read full review → jupyter-notebook 3.5/5

451 words · Tier S (same-cluster)