create-data-context Skill
Create, update, inspect, or repair Data Analytics semantic layers. Use when the user asks to save data context or create a semantic layer that future Data Analytics work can inspect and cite. Published by openai in role-specific-plugins.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
2 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is create-data-context Skill?
Create, update, inspect, or repair Data Analytics semantic layers. Use when the user asks to save data context or create a semantic layer that future Data Analytics work can inspect and cite. Published by openai in role-specific-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. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: plugins/data-analytics/skills/create-data-context/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use create-data-context Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/role-specific-plugins
- Skill file: plugins/data-analytics/skills/create-data-context/SKILL.md
What it does
Create, update, inspect, or repair Data Analytics semantic layers. Use when the user asks to save data context or create a semantic layer that future Data Analytics work can inspect and cite.
Skill instructions
Create Data Context This skill creates and maintains semantic-layer skills for Data Analytics. A semantic-layer skill is an explicit artifact the user can inspect and cite later. It captures how future analyses should interpret the data, for example which metric definition is canonical, which dashboard or table is the best source of truth, and what caveats should be checked before answering. Data-task routing is owned by the Data Analytics index skill. If the user wants Data Analytics to do work with data now, route to index, whether the work starts from connected sources, uploaded files, pasted tables, sample data, or an existing semantic layer. Examples include answering a metric question, building a report, or checking a dataset. Use this skill only when the user asks to save data context or create, update, inspect, or repair a semantic layer. Runtime Routing Use the current runtime's classified surface and mode values, plus the capabilities exposed in the run, to choose intake and
Verified compatibility and discovery
Frequently asked questions
What is create-data-context?
create-data-context is a open-source AI agent skill with Copy skill directory. Create, update, inspect, or repair Data Analytics semantic layers. Use when the user asks to save data context or create a semantic layer that future Data Analytics work can inspect and cite.
Who is create-data-context best for?
create-data-context is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install create-data-context?
Install or run create-data-context using Copy skill directory. Check create-data-context for the latest setup command.
Is create-data-context actively maintained?
create-data-context may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
