enable-tables-offline

Úsese cuando el usuario necesite habilitar los requisitos previos por tabla (Se puede desconectar, Realizar un seguimiento de los cambios) antes de que una tabla de Dataverse pueda agregarse a una configuración de Mobile Offline…

npx skills add https://github.com/microsoft/power-platform-skills --skill enable-tables-offline

Shared instructions: shared-instructions.md — read first.

References:

Enable Tables Offline

Flip IsAvailableOffline=true AND ChangeTrackingEnabled=true on the EntityMetadata of one or more Dataverse tables, then publish customizations. This is the prerequisite shown in Image 4 of the maker portal ("Can be taken offline" + "Track changes") — without both, a table CANNOT be added to a Mobile Offline Profile.

Sequential (Dataverse metadata lock) and idempotent: re-running on an already-enabled table is a no-op.

Workflow

  1. Verify project & auth → 2. Resolve table list → 3. Inspect current state → Gate → 4. PUT EntityMetadata per table → 5. Publish → 6. Verify → 7. Summary

Step 1 — Verify project & auth

test -f power.config.json && test -f app.config.js
node "${PLUGIN_ROOT}/scripts/resolve-environment.js" "$(node -e \"console.log(require('./power.config.json').environmentId)\")"

Capture the Environment URL from the resolver for <envUrl>. STOP if not authenticated.

Step 2 — Resolve table list

Tables to enable come from one of (in order):

SourceUsed when
$ARGUMENTSUser passed a comma- or space-separated list of logical names (e.g. /enable-tables-offline cr123_note,cr123_visit)
.datamodel-manifest.jsonDefault — read tables[].logicalName for every Dataverse-backed table in the app
AskUserQuestionOnly if both above are absent. Show the table list from src/generated/services/*Service.ts filenames and let the user pick.

If the resolved list is empty, STOP with: "No Dataverse tables found in this project. Run /add-dataverse first."

Step 3 — Inspect current state

Print before starting:

"→ Querying current IsAvailableOffline + ChangeTrackingEnabled for table(s)…"

For each table, in sequence:

node "${PLUGIN_ROOT}/scripts/dataverse-request.js" <envUrl> GET \
  "EntityDefinitions(LogicalName='<table>')?\$select=LogicalName,DisplayName,IsAvailableOffline,ChangeTrackingEnabled,IsCustomizable"

Build a status table:

| Table              | IsAvailableOffline | ChangeTrackingEnabled | IsCustomizable | Needs change? |
|--------------------|--------------------|-----------------------|----------------|---------------|
| cr123_note         | false              | false                 | true           | YES (both)    |
| cr123_visit        | true               | false                 | true           | YES (track)   |
| contact            | true               | true                  | true           | NO            |

Hard rule: if IsCustomizable.Value=false on any table, that table CANNOT be modified. Drop it from the change set and flag in DONE_WITH_CONCERNS — system-managed tables (most OOB) require an admin solution patch path the skill does not handle.

Gate — Approval before mutation

Enter plan mode with the status table from Step 3 plus the planned operation per table. Wait for user ExitPlanMode before proceeding.

Plan body:

The following EntityMetadata changes will be PUT in sequence:

cr123_note   → set IsAvailableOffline=true, ChangeTrackingEnabled=true
cr123_visit  → set ChangeTrackingEnabled=true (IsAvailableOffline already true)

After all updates, a single PublishAllXml request will commit the changes.

Tables already in the desired state are skipped (no API call).

If the user rejects, STOP. If they approve, proceed.

Step 4 — PUT EntityMetadata per table

Print before starting:

"→ Updating EntityMetadata for table(s) sequentially (Dataverse serializes metadata writes)…"

⚠️ Concurrency rule — do not violate. Metadata writes hold an exclusive lock per org. Issue one PUT, wait for 2xx, then the next. No batching, no parallel calls. Same rule as /add-dataverse Step 5.

For each table needing change (skip ones already in target state):

node "${PLUGIN_ROOT}/scripts/update-entity-offline-flags.js" <envUrl> \
  --table <table> \
  --offline true \
  --tracking true

The helper:

  • Re-reads EntityMetadata to pick up the current MetadataId + SchemaName (both required in the PUT body — Dataverse rejects PUT without them).
  • Sends MSCRM.MergeLabels: true so display labels are preserved (the alternative wipes labels — never use false).
  • Returns { "status": 200, "noop": true, ... } if the table is already in the target state (skip silently).
  • Returns { "status": 200, "skipped": "uncustomizable", ... } for tables whose IsCustomizable.Value=false (system-managed; you must surface as DONE_WITH_CONCERNS).
  • Returns { "status": 204, ... } on successful update.
  • Handles 401 token refresh and 429 back-off automatically.

If the helper returns status 403 PrivilegeCheckFailed: the user lacks "Customize System" privilege. Print the table name and which privilege is missing, then STOP.

If status 400 with ChangeTrackingEnabled cannot be disabled: ignore — that path only triggers when going from true to false, which we never do.

Print ✓ <table> after each 204; print ↷ <table> (already enabled) for no-ops; print ⚠ <table> (uncustomizable) for skips.

Step 5 — Publish customizations (targeted PublishXml, with PublishAllXml fallback)

Print before starting:

"→ Publishing customizations (targeted PublishXml on the entities just edited)…"

Use targeted PublishXml scoped to the entities that were actually modified — avoids the org-wide rate-limit storms (0x80071151 "concurrent PublishAll already running") observed on shared envs. Empirical 2026-05-25.

# Build the <entities> XML body from the list of tables modified in Step 4
node "${PLUGIN_ROOT}/scripts/dataverse-request.js" <envUrl> POST \
  "PublishXml" --body '{
    "ParameterXml": "<importexportxml><entities><entity>cr720_fcbflag</entity><entity>cr720_rolloutevent</entity></entities></importexportxml>"
  }'

Substitute <entity>...</entity> lines for every table the helper PUT'd flags on in Step 4. Tables that were no-ops or uncustomizable are omitted.

On 204: success — continue to Step 6.

On 429 / 0x80071151 ("concurrent publish already running"): back off automatically via dataverse-request.js's retry logic. If still failing after 4 retries, return DONE_WITH_CONCERNS: publish bottlenecked on shared env; metadata changes are committed but maker portal will not refresh until next publish. The downstream skill (/setup-offline-profile) can proceed — metadata-level writes are durable.

Fallback to PublishAllXml (only when the targeted call returns a non-rate-limit error like 0x80048d19 malformed body):

node "${PLUGIN_ROOT}/scripts/dataverse-request.js" <envUrl> POST \
  "PublishAllXml" --body '{}'

Same timeout-but-success handling as /setup-offline-profile Step 8: if the client times out but a follow-up GET on the table's EntityMetadata shows the flags are set, treat as success.

Step 6 — Verify

Print before starting:

"→ Re-querying EntityMetadata to confirm flags are set…"

Re-run the Step 3 query for each modified table. Assert IsAvailableOffline=true and ChangeTrackingEnabled=true on every changed row. If any disagree, BLOCKED — something rejected the PUT silently (extremely unlikely; usually an indication of a managed-solution layer that's masking the unmanaged change).

Step 7 — Summary

Print:

✓ Offline prerequisites enabled on <N> table(s):
  - cr123_note    (IsAvailableOffline + ChangeTrackingEnabled set)
  - cr123_visit   (ChangeTrackingEnabled set; IsAvailableOffline already on)

Skipped (already enabled): contact

Next: run /setup-offline-profile to design the offline profile that uses these tables.

Update memory-bank.md under ## Offline profile with the timestamp and table list.

Status code

Final line of the skill's response is one of:

  • DONE — all requested tables now have both flags set
  • DONE_WITH_CONCERNS: <list> — some tables skipped (uncustomizable, publish warning, etc.)
  • NEEDS_CONTEXT: <missing> — couldn't resolve table list and user didn't provide
  • BLOCKED: <reason> — auth failure, privilege check failed, or post-PUT verification disagreed

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
Guía para instrumentar aplicaciones web con Azure Application Insights. Proporciona patrones de telemetría, configuración del SDK y referencias de configuración. CUÁNDO: cómo instrumentar una aplicación, SDK de App Insights, patrones de telemetría, qué es App Insights, guía de Application Insights, ejemplos de instrumentación, mejores prácticas de APM.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development