claude

dataverse

Microsoft Dataverse and Power Platform skills covering connection setup, record CRUD, bulk import, queries and analytics, schema and metadata, solution lifecycle, environment administration, and security

5 on GitHubMITupdated 3 days ago
/

Plugin dataverse from marketplace atc-agentic-toolkit in atc-net/atc-agentic-toolkit. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (8)

  • dataverse-admin

    Environment-level Microsoft Dataverse administration: bulk delete, retention and archival, organization settings, OrgDB settings, recycle bin, audit, and a hard allowlist of 37 Power Platform admin center toggles. USE FOR: bulk delete records, schedule bulk delete job, cancel or pause bulk delete, d

  • dataverse-connect

    One-step, idempotent setup and connection diagnostics for a Microsoft Dataverse environment: installs tools, authenticates the Dataverse CLI and PAC CLI, writes `.env`, copies the Python auth helper into the project, registers the Dataverse MCP server, and verifies the connection. USE FOR: connect t

  • dataverse-data

    Record-level writes to Microsoft Dataverse tables with the Python SDK, the dataverse CLI, or MCP tools: create, update, delete, upsert with alternate keys, bulk CreateMultiple/UpsertMultiple, CSV import, multi-table foreign-key loads, DataFrame write-back, and schema-driven sample data. USE FOR: cre

  • dataverse-metadata

    Author and inspect the Microsoft Dataverse data model: tables, columns, choices, lookups, 1:N and N:N relationships, alternate keys, forms, and views. USE FOR: create table, add column, add choice column, create lookup, create relationship, many-to-many relationship, alternate key for upsert, create

  • dataverse-overview

    Background orientation for Microsoft Dataverse work: the dataverse skill map, hard rules, tool-capability matrix (MCP, Python SDK, dataverse CLI, PAC CLI, Azure CLI, GitHub CLI, Web API), SDK method cheat-sheet, and the safe change lifecycle. Load first for any Dataverse task, alongside the matching

  • dataverse-query

    Reading and analyzing Microsoft Dataverse records with the Python SDK, the dataverse CLI, or MCP tools: filtered reads, paging, lookups and $expand, SQL and FetchXML joins and aggregates, $apply, QueryBuilder, pandas DataFrames, and Jupyter notebook exploration. USE FOR: query Dataverse, read record

  • dataverse-security

    Dataverse access management with PAC CLI: assigning security roles to users and application users, business units, batch role grants across environments, verifying assignments, and tenant admin self-elevation. USE FOR: give someone access, assign security role, grant System Administrator, become adm

  • dataverse-solution

    Dataverse solution lifecycle with PAC CLI and the Python SDK: publisher and solution creation, adding components, export/unpack, pack/import, and post-import validation. USE FOR: create a solution, publisher prefix, add solution component, export solution, unpack solution, pack solution, import solu

View source on GitHub

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