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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.
Übersicht
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.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
📋 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 (
contactfor people,accountfor 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-DataverseTableIfNotExistsAdd-DataverseColumnIfNotExistsAdd-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}UploadColumnNameunion types if the table has file/image columnssrc/generated/services/{Table}Service.ts-- CRUD methods (create, get, getAll, update, delete) plusupload,downloadFile,downloadImage,deleteFileOrImageif 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.datafor 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.
Dateimetadaten
name: add-dataverse description: 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. user-invocable: true allowed-tools: Read, Edit, Write, Grep, Glob, Bash, LSP, TaskCreate, TaskUpdate, TaskList, TaskGet, AskUserQuestion, Skill, EnterPlanMode, ExitPlanMode model: opus
Originaltext anzeigen
---
name: add-dataverse
description: 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.
user-invocable: true
allowed-tools: Read, Edit, Write, Grep, Glob, Bash, LSP, TaskCreate, TaskUpdate, TaskList, TaskGet, AskUserQuestion, Skill, EnterPlanMode, ExitPlanMode
model: opus
---
**📋 Shared Instructions: [shared-instructions.md](${PLUGIN_ROOT}/shared/shared-instructions.md)** - Cross-cutting concerns.
**References:**
- [dataverse-reference.md](./references/dataverse-reference.md) - Picklist fields, virtual fields, lookups, file/image columns, form patterns (CRITICAL)
- [api-authentication-reference.md](./references/api-authentication-reference.md) - Dataverse API auth, token, publisher prefix
- [table-management-reference.md](./references/table-management-reference.md) - Query, create, extend tables and columns
- [data-architecture-reference.md](./references/data-architecture-reference.md) - Relationship types, dependency tiers
# 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](./references/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](./references/api-authentication-reference.md) for full details.
```powershell
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:**
```powershell
$existingTables = Invoke-RestMethod -Uri "$baseUrl/EntityDefinitions?`$filter=IsCustomEntity eq true&`$select=SchemaName,LogicalName,DisplayName" -Headers $headers
```
See [table-management-reference.md](./references/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](./references/table-management-reference.md):
- `New-DataverseTableIfNotExists`
- `Add-DataverseColumnIfNotExists`
- `Add-DataverseLookupIfNotExists` (from [data-architecture-reference.md](./references/data-architecture-reference.md))
### Step 5: Add Data Source
For each table:
```bash
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:
```typescript
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](./references/dataverse-reference.md) before writing any Dataverse code** -- picklist fields, virtual fields, lookups, and file/image columns all have critical gotchas
### Step 7: Build
```bash
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.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill requires Azure CLI authentication and specific Dataverse environment access, which may not be available in all agent environments.
- The skill uses PowerShell commands via Bash, which could be a vector for unintended commands if not carefully constrained, but the instructions are specific and safe functions are provided.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- microsoft/power-platform-skills
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 5. Sept. 2026
- Verzeichnis aktualisiert
- 5. Sept. 2026
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
73/100
Stark
Vertrauen
59/100
Do not auto-install
Audit
75/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill requires Azure CLI authentication and specific Dataverse environment access, which may not be available in all agent environments.
- The skill uses PowerShell commands via Bash, which could be a vector for unintended commands if not carefully constrained, but the instructions are specific and safe functions are provided.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"task": "Use add-dataverse in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/microsoft-add-dataverse",
"api": "https://www.openagentskill.com/api/agent/skills/microsoft-add-dataverse",
"audit": "https://www.openagentskill.com/skills/microsoft-add-dataverse/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=microsoft-add-dataverse&task=Use%20add-dataverse%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20add-dataverse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20add-dataverse%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/microsoft-add-dataverse/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/microsoft-add-dataverse"
}
}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- microsoft
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
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Dieser Registry-indexiert-Eintrag wird microsoft zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
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Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
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[](https://www.openagentskill.com/skills/microsoft-add-dataverse?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-add-dataverse/audit)
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