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Add Dataverse Agent Skill

Adds Dataverse tables to a Power Apps code app with generated TypeScript models and services. Can also create new Dataverse tables. Use when connecting to Dataverse, adding tables, creating schema, or querying Dataverse data.

11k tokens
context cost
the whole folder, loaded on every use
5
files
instructions only
0
copies elsewhere
how many repositories repackaged it
601
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/power-platform-skills --skill add-dataverse

What comes with it

38 012 bytes besides the instruction
references/api-authentication-reference.md
references/data-architecture-reference.md
references/dataverse-reference.md
references/table-management-reference.md

The instruction itself

10 sections, as written by the author

📋 Shared Instructions: shared-instructions.md - Cross-cutting concerns.

References:

  • dataverse-reference.md - Picklist fields, virtual fields, lookups, file/image columns, form patterns (CRITICAL)
  • api-authentication-reference.md - Dataverse API auth, token, publisher prefix
  • table-management-reference.md - Query, create, extend tables and columns
  • data-architecture-reference.md - Relationship types, dependency tiers

Add Dataverse

Two paths: existing tables (skip to Step 5) or new tables (full workflow).

Workflow

  • Plan → 2. Setup API Auth → 3. Review Existing Tables → 4. Create Tables → 5. Add Data Source → 6. Review Generated Files → 7. Build

Step 1: Plan

Check memory bank for project context. Ask the user:

  • Which Dataverse table(s) do they need? (e.g., account, contact, cr123_customentity)
  • Do the tables already exist in their environment, or do they need to create new ones?

If tables already exist: Skip to Step 5.

If creating new tables:

  • Ask about the data they need and design an appropriate schema
  • Use standard Dataverse tables when appropriate (contact for people, account for organizations)
  • Build a dependency graph -- see data-architecture-reference.md for tier classification
  • Enter plan mode with EnterPlanMode, present ER model with tables, columns, relationships, and creation order
  • Get approval with ExitPlanMode

Step 2: Setup API Auth (if creating tables)

See api-authentication-reference.md for full details.

az account show   # Verify Azure CLI logged in

# Find your Dataverse environment URL:
# In make.powerapps.com → Settings → Developer resources → Web API endpoint
# It looks like: https://<org-name>.crm.dynamics.com/api/data/v9.2/
# Use the base URL: https://<org-name>.crm.dynamics.com

$api = Initialize-DataverseApi -EnvironmentUrl "https://<org>.crm.dynamics.com"
$headers = $api.Headers
$baseUrl = $api.BaseUrl
$publisherPrefix = $api.PublisherPrefix

Requires System Administrator or System Customizer security role.

Step 3: Review Existing Tables (if creating tables)

Always query existing tables first before creating:

$existingTables = Invoke-RestMethod -Uri "$baseUrl/EntityDefinitions?`$filter=IsCustomEntity eq true&`$select=SchemaName,LogicalName,DisplayName" -Headers $headers

See table-management-reference.md for Find-SimilarTables, Compare-TableSchemas, and Build-TableNameMapping functions.

Present findings to user with AskUserQuestion:

  • Tables that can be reused (already exist with matching columns)
  • Tables that need extension (exist but missing columns)
  • Tables that must be created (no match found)

Step 4: Create Tables (if creating tables)

Get explicit confirmation before creating. Create in dependency order:

  • Tier 0: Reference tables (no dependencies)
  • Tier 1: Primary entities (reference Tier 0)
  • Tier 2: Dependent tables (reference Tier 1)

Use safe functions from table-management-reference.md:

  • New-DataverseTableIfNotExists
  • Add-DataverseColumnIfNotExists
  • Add-DataverseLookupIfNotExists (from data-architecture-reference.md)

Step 5: Add Data Source

For each table:

pa app add data-source --connector dataverse --table <table-logical-name>

Can add multiple tables by running the command for each one.

Step 6: Review Generated Files

The command generates:

  • src/generated/models/{Table}Model.ts -- TypeScript interfaces, plus {Table}FileColumnName, {Table}ImageColumnName, {Table}UploadColumnName union types if the table has file/image columns
  • src/generated/services/{Table}Service.ts -- CRUD methods (create, get, getAll, update, delete) plus upload, downloadFile, downloadImage, deleteFileOrImage if file/image columns exist

Show the user a usage example:

import { AccountsService } from "../generated/services/AccountsService";

const result = await AccountsService.getAll({
  select: ["name", "accountnumber"],
  filter: "statecode eq 0",
  orderBy: ["name asc"],
  top: 50
});
const accounts = result.data || [];

Key rules:

  • Use generated services (e.g., AccountsService.getAll()), not fetch/axios
  • Check result.data for actual data
  • Don't edit generated files unless needed
  • Read dataverse-reference.md before writing any Dataverse code -- picklist fields, virtual fields, lookups, and file/image columns all have critical gotchas

Step 7: Build

npm run build

Fix TypeScript errors before proceeding. Do NOT deploy yet.

Update Memory Bank

Record which tables were added (or created), generated files, and any schema notes.

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How to use it

Copy the folder

Take microsoft/add-dataverse from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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