dv-data Skill
Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables. Published by microsoft in Dataverse-skills.
Decision snapshot
Is this a fit?
Deployment, Data analysis, Writing, Includes SKILL.md
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 dv-data Skill?
Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables. Published by microsoft in Dataverse-skills. 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
- Deployment
- Data analysis
- Writing
- Deployment use cases
- Data analysis use cases
Declared skill metadata
- Source file: .github/plugins/dataverse/skills/dv-data/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 dv-data Skill
- Use it for deployment.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/Dataverse-skills
- Skill file: .github/plugins/dataverse/skills/dv-data/SKILL.md
What it does
Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables.
Skill instructions
Skill: Data — Create, Update, Delete, and Bulk Import This skill uses Python and the Dataverse CLI. Do not use Node.js, JavaScript, or any other language for Dataverse scripting. If you are about to run npm install or write a .js file, STOP — you are going off-rails. See the overview skill's Hard Rules. Use the official Microsoft Power Platform Dataverse Client Python SDK for all data write operations. Official SDK: https://github.com/microsoft/PowerPlatform-DataverseClient-Python PyPI package: PowerPlatform-Dataverse-Client (this is the only official one — do not use dataverse-api or other unofficial packages) Status: GA (1.0.0, Production/Stable) Skill boundaries | Need | Use instead | |---|---| | Query or read records | dv-query | | Create tables, columns, relationships, forms, views | dv-metadata | | Export or deploy solutions | dv-solution | | ERP writes | See references/erp-writes.md | --- Choosing MCP, CLI, or SDK for writes CLI fast path: If dataverse auth who shows an active p
Verified compatibility and discovery
Frequently asked questions
What is dv-data?
dv-data is a open-source AI agent skill with Copy skill directory. Record-level CRUD and bulk operations — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data.
Who is dv-data best for?
dv-data is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows, writing workflows.
How do I install dv-data?
Install or run dv-data using Copy skill directory. Check dv-data for the latest setup command.
Is dv-data actively maintained?
dv-data 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.
