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.
git clone https://github.com/microsoft/power-platform-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"
plugins/code-apps/skills/add-dataverse/SKILL.md📋 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 (
for people,contact
for organizations)account - Build a dependency graph -- see data-architecture-reference.md for tier classification
- Enter plan mode with
, present ER model with tables, columns, relationships, and creation orderEnterPlanMode - 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:
New-DataverseTableIfNotExistsAdd-DataverseColumnIfNotExists
(from data-architecture-reference.md)Add-DataverseLookupIfNotExists
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:
-- TypeScript interfaces, plussrc/generated/models/{Table}Model.ts
,{Table}FileColumnName
,{Table}ImageColumnName
union types if the table has file/image columns{Table}UploadColumnName
-- CRUD methods (create, get, getAll, update, delete) plussrc/generated/services/{Table}Service.ts
,upload
,downloadFile
,downloadImage
if file/image columns existdeleteFileOrImage
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.,
), not fetch/axiosAccountsService.getAll() - Check
for actual dataresult.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.