jupyter-notebook

Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.

1.49x

Quality

86%

Does it follow best practices?

Impact

88%

1.49x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-organized, actionable skill body that stays lean while giving executable commands and a sequenced workflow with validation. Progressive disclosure is handled cleanly with verified reference files.

Dimension	Reasoning	Score
Conciseness	The body is largely lean and action-oriented without explaining concepts Claude already knows; minor trims possible (e.g. the pinned `--python 3.12` and a few restatable guidance lines).	4 / 5
Actionability	Provides copy-paste-ready, fully executable commands for both `experiment` and `tutorial` kinds along with the env-var setup, covering the common scaffold cases concretely.	5 / 5
Workflow Clarity	A clear numbered 6-step sequence is present with an explicit validate step and a referenced checklist, but the error-recovery feedback loop (validate -> fix -> retry) is only implicit rather than spelled out.	4 / 5
Progressive Disclosure	The SKILL.md is a clear overview with a dedicated Reference map pointing one level deep to real, verified bundle files (patterns, structure, checklist, templates, helper script), making navigation easy.	5 / 5
	Total	18 / 20 Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-structured description that clearly states both capability and trigger conditions with concrete file-extension and action cues. It is distinct and unlikely to fire for the wrong skill.

Dimension	Reasoning	Score
Specificity	Names the Jupyter notebook domain plus several concrete actions ("create, scaffold, or edit") and points to the bundled templates and helper script, but the action set is slightly narrow rather than comprehensive.	4 / 5
Completeness	Explicitly answers both what (create/scaffold/edit notebooks via templates and `new_notebook.py`) and when ("Use when the user asks to create, scaffold, or edit Jupyter notebooks...") with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural terms users would say ("Jupyter notebooks", "experiments, explorations, or tutorials") plus the `.ipynb` extension, but a few common variants (e.g. "ipynb files", "notebooks") are not exhaustively covered.	4 / 5
Distinctiveness Conflict Risk	The `.ipynb` / Jupyter notebook niche is clear and distinct with specific triggers, creating minimal overlap risk with unrelated skills.	5 / 5
	Total	18 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: microsoft/ai-agents-for-beginners
Path: .agents/skills/jupyter-notebook/SKILL.md
Commit: 15ad10c

Reviewed: 10 days ago

Table of Contents

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