Power-platform-skills add-dataverse

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.

install
source · Clone the upstream repo
git clone https://github.com/microsoft/power-platform-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/microsoft/power-platform-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/code-apps/skills/add-dataverse" ~/.claude/skills/microsoft-power-platform-skills-add-dataverse && rm -rf "$T"
manifest: plugins/code-apps/skills/add-dataverse/SKILL.md
source content

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

References:

Add Dataverse

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

Workflow

  1. 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:

  1. Which Dataverse table(s) do they need? (e.g.,
    account
    ,
    contact
    ,
    cr123_customentity
    )
  2. 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
pwsh -NoProfile -Command "pac org who"       # Get environment URL

$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:

Step 5: Add Data Source

For each table:

pwsh -NoProfile -Command "pac code add-data-source -a dataverse -t <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.