dv-solution Skill
Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments. Use when the user wants to package customizations, deploy to another environment, or move work between dev / test / prod. Published by microsoft in Dataverse-skills.
What is dv-solution Skill?
Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments. Use when the user wants to package customizations, deploy to another environment, or move work between dev / test / prod. 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.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Deployment
- Data analysis
- Testing use cases
- Deployment use cases
Technical details
- Install or run with Copy skill directory
When to use dv-solution Skill
- Use it for testing.
- Use it for deployment.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/Dataverse-skills
- Skill file: .github/plugins/dataverse/skills/dv-solution/SKILL.md
What it does
Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments. Use when the user wants to package customizations, deploy to another environment, or move work between dev / test / prod.
Skill instructions
Skill: Solution Create, export, unpack, pack, import, and validate Dataverse solutions via PAC CLI. Includes post-import validation using the Python SDK. Skill boundaries | Need | Use instead | |---|---| | Create tables, columns, relationships, forms, views | dv-metadata | | Create, update, or delete data records | dv-data | | Query or read records | dv-query | | Connect to Dataverse / set up MCP | dv-connect | --- Create a New Solution Use the Python SDK for publisher and solution record creation — not raw HTTP. Publishers and solutions are standard Dataverse tables. client.records.create() and client.records.get() handle auth, pagination, and error handling automatically, avoiding the URL encoding, header boilerplate, and GUID-parsing bugs that raw urllib calls introduce. Step 1: Find or Create the Publisher Every solution belongs to a publisher. The publisher's customizationprefix (e.g., contoso, sa, lit) is prepended to every custom table, column, and relationship schema name. This
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Frequently asked questions
What is dv-solution?
dv-solution is a open-source AI agent skill with Copy skill directory. Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments.
Who is dv-solution best for?
dv-solution is best for reusing agent instructions, scripts, and references, testing workflows, deployment workflows, data analysis workflows.
How do I install dv-solution?
Install or run dv-solution using Copy skill directory. Check dv-solution for the latest setup command.
Is dv-solution actively maintained?
dv-solution may need a closer maintenance check before production use.
Auto-fetched from GitHub.
