setup-datamodel
Use when the user wants to design or redesign the Dataverse schema and connector plan for an existing mobile app, or has an ER diagram (image, Mermaid, or text) to apply. Skip when the user is creating a brand-new app — /create-mobile-app handles the data model inline.
Install / Use
npx skills add microsoft/power-platform-skills --skill setup-datamodelInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of setup-datamodel
setup-datamodel scores 91/100 on our quality scale, 1121st of 4,647 Development & Engineering skills we index (top 25%).
Its SKILL.md is 10 KB long, well organised into 18 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.
It has 919 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 9 days ago, so setup-datamodel is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-04. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
setup-datamodel compared with similar skills
All 4 of these similar skills score higher than setup-datamodel; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| setup-datamodel (this skill)by microsoft | 91 | 919 | 9d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.9k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| LocalAIby mudler | 100 | 49.4k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install setup-datamodel?
- Run
npx skills add microsoft/power-platform-skills --skill setup-datamodel. The install tabs above show the steps for each supported agent. - Which AI agents does setup-datamodel work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is setup-datamodel safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is setup-datamodel still maintained?
- The repository was last updated 9 days ago, so setup-datamodel is actively maintained.
Skill content
View source on GitHubname: setup-datamodel description: Use when the user wants to design or redesign the Dataverse schema and connector plan for an existing mobile app, or has an ER diagram (image, Mermaid, or text) to apply. Skip when the user is creating a brand-new app — /create-mobile-app handles the data model inline. user-invocable: true allowed-tools: Read, Edit, Write, Grep, Glob, Bash, AskUserQuestion, EnterPlanMode, ExitPlanMode, Task, Skill model: opus
Plugin check: Run
node "${PLUGIN_ROOT}/scripts/check-version.js"- if it outputs a message, show it to the user before proceeding.
📋 Shared instructions: shared-instructions.md — read first.
Set Up Data Model + Connectors
Combined orchestrator for standalone data source planning. Designs the Dataverse schema, plans connectors, gets approval on both, then delegates execution to /add-dataverse and /add-connector.
| Use this skill when | Use /add-dataverse directly when |
|---|---|
| Standalone schema + connector design (project may or may not exist yet) | The plan already exists and you just need to apply tables + generate services |
| You have an existing ER diagram (image / Mermaid / text) to import | /create-mobile-app is invoking this as a sub-step with --skip-planning |
| Re-planning the schema or connectors mid-project | You only need to add a single table or a single connector |
Workflow
- Verify project & auth → 2. Design data model → 3. Plan connectors → 4. Combined approval → 5. Execute data model → 6. Execute connectors → 7. Summary
Phase 1 — Verify Project & Auth
Confirm we're inside a Power Apps mobile app:
test -f power.config.json && echo "OK" || echo "ERROR: not a mobile app — run /create-mobile-app first"
node "${PLUGIN_ROOT}/scripts/resolve-environment.js" "$(node -e \"console.log(require('./power.config.json').environmentId)\")"
Capture the environment URL, environment ID, tenant ID, and organization ID for Phase 5.
Phase 2 — Design Data Model
Telemetry checkpoint: design_dataverse_schema
Check $ARGUMENTS for diagram hints first (*.png, *.jpg, erDiagram keyword, ||--o{ cardinality syntax). If a hint is present → Path A. If $ARGUMENTS describes the app at all → silently take Path B (architect propose). Only if both are empty, ask:
"How would you like to define the data model?"
| Option | What happens |
|---|---|
| Upload an existing ER diagram | Provide a PNG/JPG path, Mermaid block, or text description |
| Let the Data Model Architect propose one (default) | Spawns data-model-architect agent to infer from requirements |
| Skip — no Dataverse tables needed | Jump to Phase 3 |
Default the answer to "architect propose" so an empty answer auto-proceeds without blocking the user.
Artifact storage rules for PDFs and signatures
When requirements mention signatures, sign-off, ink, drawings, generated PDFs, exported reports, evidence packets, or retained documents, make the storage target explicit in ## Data Model before approval:
| User signal | Dataverse model implication |
|---|---|
| "capture signature", "sign off", "approval signature", "ink" | Image column on the signed record for one current signature, or child Evidence/Signature table for multiple captures/history |
| "generate PDF", "export report", "evidence packet", "certificate PDF" | Ask whether the generated PDF should be retained. If yes, use a Dataverse File column, usually on the parent record or a child Evidence/Attachment table. If no, document on-device/share-only behavior and add no column. |
| "upload PDF", "attach file", "import document" | File column or child Attachment table with lookup to parent |
| "view PDF" | Store or reference an HTTPS URL if the app has a durable source. Native PDF viewer 0.2.9+ also supports local file:// URIs; content://, blob:, and http:// remain unsupported. |
PDF content must never be modeled as long text/base64 text. Use Dataverse File columns for retained PDFs. Signature PNGs may use Image columns when the generated service supports image payloads; use File columns or child Evidence rows when the capture should behave like an attachment.
Path A — Parse user-provided diagram
Accept PNG/JPG (use Read to view), Mermaid syntax (paste in chat), or text description. Parse into tables + columns + relationships. Query existing Dataverse tables to mark each as new / extend / reuse. Generate a Mermaid ER diagram for confirmation. Enter EnterPlanMode for data model approval. On ExitPlanMode approval, write the data model into native-app-plan.md ## Data Model section (creating the file if absent).
Path B — Spawn data-model-architect
Task: mobile-app:data-model-architect
Prompt:
You are the data-model-architect agent for a Power Apps mobile app.
Requirements: <$ARGUMENTS or ask the user what the app does>
Working directory: <cwd>
Plugin root: ${PLUGIN_ROOT}
Follow your agent file. Return a ## Data Model section with Mermaid ER diagram,
reuse/extend/create table, and dependency-tier ordering. If requirements mention
signatures, pen/ink, generated PDFs, report exports, evidence packets, or uploaded
documents, include the artifact storage target: on-device/share-only, Dataverse
Image column, Dataverse File column, or child Evidence/Attachment table. Retained
PDF content must use a File column, not long text/base64.
Present the returned section via EnterPlanMode / ExitPlanMode for approval.
Path C — No Dataverse
Write ## Data Model as "None — no Dataverse tables needed." Continue to Phase 3.
Phase 3 — Plan Connectors
Telemetry checkpoint: plan_connector_integrations
Follow shared/references/connector-planning.md:
- Infer — if
$ARGUMENTSdescribes what the app does, scan for connector keywords. Build a candidate list. - Confirm — present via
AskUserQuestion. Let the user add, remove, or confirm. - Record — build the
## Connectorssection.
If the user provided no requirements context, ask:
"What does your app need to connect to? (e.g. SharePoint, Teams, email, Excel, OneDrive, Azure DevOps — or none)"
Phase 4 — Combined Approval
Telemetry checkpoint: approve_data_model_and_connectors
Present the full plan — data model + connectors — together in a single EnterPlanMode block:
## Plan: Data Sources
### Data Model
[reuse/extend/create table]
[Mermaid ER diagram]
[creation order tiers]
### Connectors
[connector table or "None"]
Approve both to proceed with execution?
- Approved → proceed to Phase 5
- Change data model → loop back to Phase 2 for that section only, then re-present Phase 4
- Change connectors → loop back to Phase 3, then re-present Phase 4
Phase 5 — Execute Data Model
Telemetry checkpoint: apply_dataverse_schema
Invoke /add-dataverse with --skip-planning so it reads the approved plan directly without re-prompting:
Invoke skill: /add-dataverse
Arguments:
--working-dir <cwd>
--plan-section native-app-plan.md#data-model
--skip-planning
/add-dataverse creates tables in tier order, runs npx power-apps add-data-source --api-id dataverse --org-url <envUrl> --resource-name <name> per table from the app root, publishes customizations, writes .datamodel-manifest.json, and type-checks. Wait for it to return before Phase 6.
Cross-entity reads from the screen plan — the approved
### Cross-entity Reads subsection contains formatted lookups, bounded chained
fetches, or external-projection-required blockers. /add-dataverse never
synthesizes calculated/formula definitions through code. A user-supplied,
maker-created computed column is validated as an existing dependency during
reconciliation before it can be reused.
Skip if Phase 2 chose Path C (no Dataverse).
Phase 6 — Execute Connectors
Telemetry checkpoint: generate_connector_data_sources
Read ## Connectors from native-app-plan.md. For each connector row, invoke /add-connector:
Invoke skill: /add-connector
Arguments:
--working-dir <cwd>
--connector <api-name>
Run sequentially. Skip if ## Connectors is "None".
Phase 6.5 — Offline profile reconciliation
Telemetry checkpoint: reconcile_offline_profile
If Phase 5 created or extended Dataverse tables, an existing Mobile Offline Profile may now be missing those tables/columns. Because Phase 5 invoked /add-dataverse with --skip-planning (which suppresses that skill's own Step 8.5 reconciliation), this orchestrator owns the check. Skip when Phase 2 chose Path C (no Dataverse).
Run the local, no-network delta check:
node "${PLUGIN_ROOT}/scripts/offline-profile-delta.js"
Branch on the JSON status per offline-profile-reconciliation.md: no-manifest / no-profile / in-sync → continue to Phase 7 silently (do not nag when no profile exists); delta → prompt to update, then read and execute ${PLUGIN_ROOT}/skills/add-table-to-offline-profile/SKILL.md for missingTables[] and ${PLUGIN_ROOT}/skills/edit-offline-profile/SKILL.md for tablesWithNewColumns[], passing the arguments documented by each workflow, and re-check to in-sync.
Phase 7 — Summary
✅ Data sources set up
─────────────────────────────────────────────
Data model:
Tables reused : <list>
Tables extended: <list>
Tables created : <list>
Manifest : .datamodel-manifest.json
Connectors:
<list of added connectors, or "None">
Generated services:
src/generated/services/ × <N>
src/generated/models/ × <N>
Type-check: PASS
Next steps:
/add-datasource — add more data sources
/add-native — add device capabilities
screen-builder — implement screens using the generated services
─────────────────────────────────────────────
Reference
- shared/references/connector-planning.md — connector inference + confirmation logic
- shared/references/offline-profile-reconciliation.md — Phase 6.5 offline delta check + reconciliation flow
- skills/add-dataverse/SKILL.md — full data model execution workflow
- agents/data-model-architect.md — read-only architect agent
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
