From microsoft-dataverse
Microsoft Dataverse operations — manage entities, agent records, custom connectors, connection references, and document locations via the Dataverse Web API
How this skill is triggered — by the user, by Claude, or both
Slash command
/microsoft-dataverse:dataverseThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- User asks about Dataverse entities, tables, or records
Agent records track AI agents through their lifecycle:
dataverse_create_agent_record with name, description, type, build status, and user story linkdataverse_get_agent_record by user story ID or keyword searchdataverse_update_agent_record to change status, assignees, or linksdataverse_delete_agent_record by user story IDSharePoint document locations link agents to their file storage:
dataverse_get_agent_document_location — find existing locationdataverse_create_document_location — create new SharePoint folder linkThree pools manage team assignments:
dataverse_get_analyzer_pool — users who analyze requirementsdataverse_get_maker_pool — users who build agentsdataverse_get_tester_pool — users who test agentsdataverse_get_analyzer_pool — Get Analyzer Pool usersdataverse_get_maker_pool — Get Maker Pool usersdataverse_get_tester_pool — Get Tester Pool usersdataverse_get_user_story_scheduling_config — Get scheduling configdataverse_get_build_scheduling_config — Get build scheduling configdataverse_get_connection_references — Get solution connection referencesdataverse_get_custom_connectors — List all custom connectorsdataverse_get_custom_connector — Get connector details by IDdataverse_get_agent_record — Get agent by user story ID or searchdataverse_create_agent_record — Create a new agent recorddataverse_update_agent_record — Update an agent recorddataverse_delete_agent_record — Delete an agent recorddataverse_get_agent_document_location — Get SharePoint document locationdataverse_create_document_location — Create document location for an agentnpx claudepluginhub joshuacastanedaah/sean-mcp-servers --plugin microsoft-dataverseDefines and evolves Dataverse data models — tables, columns, relationships, forms, and views — using the Python SDK and Web API within a solution context. Publishes metadata changes to the environment rather than hand-editing XML.
Populates Dataverse tables with sample records via OData API for testing and demoing Power Pages sites. Handles prerequisites, table discovery from manifest or API, and ordered insertions.
Routes to specialized skills for adding Power Apps data sources like Dataverse (business data), SharePoint lists, Teams messages, Excel, OneDrive, and Office 365 based on user goals.