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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.
Vue d’ensemble
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.
Lire la documentation complète
Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
📋 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.
Métadonnées du fichier
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
Voir le texte original
---
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.
Examiner la source
Prix et coûts d’utilisation
- Obtenir le skill
- Prix non confirmé
- L’utiliser
- Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
- Licence
- MIT
- Prix non confirmé
- Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.
Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →
Source du skill enregistrée
Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.
Réviser avant installation: Éviter l’installation automatique
Licence: 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
Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.
Commencer par une petite tâche
- 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
- 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
- 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.
Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.
Source et conseils d’utilisation
Répertorié
Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.
- Dépôt source
- microsoft/power-platform-skills
- Licence
- MIT
- Version
- 1.0.0
- Dernier push GitHub
- 5 sept. 2026
- Registre mis à jour
- 5 sept. 2026
- Chemin des instructions
- plugins/code-apps/skills/add-dataverse/SKILL.md @ 5a325ffa030c
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
73/100
Solide
Confiance
59/100
Do not auto-install
Audit
75/100
Revue nécessaire
- 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
- —
- Résultats
- —
Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.
Accès agent
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Plus de détails
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"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"
}
}Pour le créateur
Source de la fiche
Indexé par Registry
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- microsoft
- Indexé par
- Index communautaire OpenAgentSkill
L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.
Revendiquer ce skillRevendication du propriétaire
Revendiquer cette fiche de skill
Cette fiche Indexé par Registry est attribuée à microsoft, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.
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[](https://www.openagentskill.com/skills/microsoft-add-dataverse/audit)
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