deepnote-notebooks Skill
Use when reading, reviewing, inspecting, or reasoning about hosted Deepnote notebooks, blocks, inputs, SQL, Python, or notebook outputs through the Deepnote app tools. Published by openai in plugins.
What is deepnote-notebooks Skill?
Use when reading, reviewing, inspecting, or reasoning about hosted Deepnote notebooks, blocks, inputs, SQL, Python, or notebook outputs through the Deepnote app tools. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Documentation
- Research
- Database workflows use cases
- Documentation use cases
Technical details
- Install or run with Copy skill directory
When to use deepnote-notebooks Skill
- Use it for database workflows.
- Use it for documentation.
- Use it for research.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/deepnote/skills/deepnote-notebooks/SKILL.md
What it does
Use when reading, reviewing, inspecting, or reasoning about hosted Deepnote notebooks, blocks, inputs, SQL, Python, or notebook outputs through the Deepnote app tools.
Skill instructions
Deepnote Notebooks Notebook Inspection Workflow 1. Resolve the target notebook with search or project context before using getnotebook. 2. Read the notebook with getnotebook before answering questions about structure, inputs, blocks, or latest run state. 3. Preserve distinctions between block types, notebook inputs, code, SQL, markdown, and metadata in your reasoning. 4. When reporting inputs, include the input name, type, current value, and label when useful. 5. When SQL connection usage matters, use listintegrations and the integration usage tools to confirm project, notebook, or block references instead of inferring solely from names. When table, schema, or column context matters, use getintegration for cached structure. 6. When asked to review or explain a notebook, ground the answer in specific notebook/block names or IDs when useful. 7. If the user asks to create a project, create a notebook, add blocks/cells, update existing blocks/cells, or scaffold notebook content, use the de
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Frequently asked questions
What is deepnote-notebooks?
deepnote-notebooks is a open-source AI agent skill with Copy skill directory. Use when reading, reviewing, inspecting, or reasoning about hosted Deepnote notebooks, blocks, inputs, SQL, Python, or notebook outputs through the Deepnote app tools.
Who is deepnote-notebooks best for?
deepnote-notebooks is best for reusing agent instructions, scripts, and references, database workflows, documentation workflows, research workflows.
How do I install deepnote-notebooks?
Install or run deepnote-notebooks using Copy skill directory. Check deepnote-notebooks for the latest setup command.
Is deepnote-notebooks actively maintained?
deepnote-notebooks may need a closer maintenance check before production use.
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