Labsco
microsoft logo

genpage

✓ Official408

by microsoft · part of microsoft/power-platform-skills

Creates, updates, and deploys Power Apps generative pages for model-driven apps using React v17, TypeScript, and Fluent UI V9. Completes workflow from…

🔥🔥🔥✓ VerifiedFreeQuick setup
🧩 One of 7 skills in the microsoft/power-platform-skills package — works on its own, and pairs well with its siblings.

Creates, updates, and deploys Power Apps generative pages for model-driven apps using React v17, TypeScript, and Fluent UI V9. Completes workflow from…

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by microsoft

Creates, updates, and deploys Power Apps generative pages for model-driven apps using React v17, TypeScript, and Fluent UI V9. Completes workflow from… npx skills add https://github.com/microsoft/power-platform-skills --skill genpage Download ZIPGitHub408

Power Apps Generative Pages Builder

Triggers: genpage, generative page, create genpage, genux page, build genux, power apps page, model page Keywords: power apps, generative pages, genux, model-driven, dataverse, react, fluent ui, pac cli Aliases: /genpage, /gen-page, /genux

Overview

This skill orchestrates four specialist agents across the create and edit flows:

Create flow:

  • genpage-planner — validates prerequisites, gathers requirements, detects what entities and apps exist, presents a plan for approval, writes genpage-plan.md

  • genpage-entity-builder — creates Dataverse entities (tables, columns, relationships, choices, sample data) via the plugin's Node.js Web API scripts

  • genpage-page-builder — generates one complete .tsx file per page; multiple builders run in parallel for multi-page requests

Edit flow:

  • genpage-edit-planner — reads the downloaded page artifacts, gathers change requirements, presents an edit plan, writes genpage-edit-plan.md

You (the skill) coordinate the agents and own app creation, RuntimeTypes generation, deployment, browser verification, and the inline application of planned edits.

References

Development Standards

  • React 17 + TypeScript — all generated code

  • Fluent UI V9@fluentui/react-components exclusively (DatePicker from @fluentui/react-datepicker-compat, TimePicker from @fluentui/react-timepicker-compat)

  • Single file architecture — all components, utilities, styles in one .tsx file

  • No external libraries — only React, Fluent UI V9, approved Fluent icons, D3.js for charts

  • Type-safe DataAPI — use RuntimeTypes when Dataverse entities are involved

  • Responsive design — flexbox, relative units, never 100vh/100vw

  • Accessibility — WCAG AA, ARIA labels, keyboard navigation, semantic HTML

  • Complete code — no placeholders, TODOs, or ellipses in final output

Instructions

Follow these phases in order for every /genpage invocation.

Phase 0: Create Working Directory

Derive a short folder name from the user's requirements:

  • Extract the page name or a 2-4 word summary from $ARGUMENTS

  • Convert to kebab-case (e.g., "Candidate Tracker" → candidate-tracker)

  • Create the folder: mkdir -p <folder-name>

  • Resolve its absolute path — this is the working directory for all subsequent phases

Phase 0.5: Initialize Local-Dev Manifest

Write package.json and genpage.d.ts into the working directory so the developer can npm install and get IntelliSense, type-checking, and "go to definition" in their editor. Versions come from references/supported-dependencies.md (single source of truth: scripts/lib/supported-dependencies.js).

Copy & paste — that's it
node "${PLUGIN_ROOT}/scripts/generate-page-manifest.js" 
  • <kebab-slug> is the same slug used for the working directory.

  • Add --features charts,datepicker,timepicker (comma-separated) only when the requirements clearly call for them; otherwise omit and keep the manifest lean.

  • The script is idempotent — it skips files that already exist. Pass --force to overwrite (used in regeneration flows when versions drift).

  • Output is a JSON summary on stdout; pipe to stderr for visibility but do not block the workflow if the script returns non-zero — the manifest is a dev-ergonomics aid, not part of the deployed artifact.

Phase 1: Plan

⚠️ CRITICAL — you MUST invoke genpage-planner via the Task tool. You MUST NOT inline the planner's questions yourself with AskUserQuestion.

The planner is not optional or skippable. It runs:

  • Prerequisite validation (node --version, pac help version >= 2.7.0)

  • Auth verification (pac auth list, environment selection)

  • The structured "Create new / Edit existing" question (via AskUserQuestion inside the planner subagent, not here)

  • Language detection (pac model list-languages) — only on new-page path

  • Entity existence detection (pac model list-tables --search)

  • App detection (pac model list) with proper selection prompts

  • Plan-mode presentation and approval

  • Writes genpage-plan.md to the working directory

Reasons to NEVER ask "new or edit?" yourself before invoking the planner:

  • You would skip prereq + auth (the planner is the only thing that runs them)

  • The structured question gives the user labeled options; an inline free-text prompt forces them to guess

  • The planner returns { "action": "edit" } as a contract — your inline question can't produce that signal cleanly

Even if $ARGUMENTS looks like it tells you the intent, still invoke the planner. Pass the intent in the prompt — the planner uses it to skip its own Question 1 if appropriate, but the prereq/auth/env steps still run.

Steps

  • Invoke genpage-planner via Task with the prompt below.

  • Wait for it to finish (it returns a summary).

  • If the return includes { "action": "edit" }, jump to the Edit Flow section.

  • Otherwise the planner has written genpage-plan.md. Proceed to Phase 2.

Invocation prompt

Pass a prompt that includes:

  • The user's requirements: $ARGUMENTS

  • The working directory (absolute path from Phase 0)

  • The plugin root path: ${PLUGIN_ROOT}

Example:

You are the genpage-planner agent. Plan generative page(s) for the following requirements:

[paste $ARGUMENTS here verbatim, or "no arguments provided — gather from user"]

Working directory: [absolute path from Phase 0] Plugin root: ${PLUGIN_ROOT}

Follow the instructions in your agent file. Validate prereqs, confirm auth, ask the new/edit question via AskUserQuestion, then proceed accordingly. Write genpage-plan.md to the working directory if creating. Return the page list, entity status, app selection, and any { "action": "edit" } signal when complete.

Phase 2: Create Entities (Conditional)

Read genpage-plan.md from the working directory. Check the Entity Creation Required section.

If the section literally says "No entity creation required — all entities already exist": Skip to Phase 3.

If entities need creating:

2a. Pre-flight: az + pac + Dataverse

Entity creation runs through the plugin's Node.js Web API scripts using az for auth, and the az and pac identities should normally match. Run the consolidated pre-flight:

Copy & paste — that's it
node "${PLUGIN_ROOT}/scripts/check-auth.js"

It returns a single JSON object:

Copy & paste — that's it
{
 "ok": true | false,
 "blocker": null | "az_missing" | "az_not_logged_in" | "pac_not_logged_in"
 | "no_env_url" | "whoami_403" | "whoami_401" | "whoami_error",
 "message": "human-readable next step",
 "azUser": "...", "pacUser": "...", "envUrl": "...",
 "identitiesMatch": true | false,
 "whoAmI": { "ok": true, "userId": "...", "organizationId": "..." }
}
  • ok: true and identitiesMatch: true → proceed to 2b.

  • ok: true and identitiesMatch: false → proceed to 2b but surface the message to the user as an inline warning ("az is X, pac is Y — WhoAmI works for now, but if entity creation later returns 403, run the suggested az login --username to align them").

  • ok: false → show the message field to the user verbatim and stop the workflow. The script already includes a fix-it command for every blocker (run az login, etc.).

Capture envUrl from the result — Phase 2b passes it to the entity-builder.

2b. Invoke entity-builder

Invoke the genpage-entity-builder agent via the Task tool. Pass in the prompt:

  • Path to genpage-plan.md

  • Working directory (absolute path)

  • Plugin root: ${PLUGIN_ROOT}

  • Dataverse env URL (from pac org who)

The entity-builder reads Solution and Publisher Prefix directly from the plan's ## Environment — no need to re-thread them here.

Wait for completion. The builder writes a transactional log at <working-dir>/entity-creation-log.md for recovery on failure.

Phase 3: App Creation/Selection

Read genpage-plan.md for the app decision and the Solution line in ## Environment.

If "create new":

Copy & paste — that's it
pac model create --name "App Name" --solution " " --publish

--solution is mandatory. pac model create errors out with "The given solution name is not valid: ()" if you omit it — its claimed "active solution" fallback does not work in practice.

--publish is mandatory. Without it the new appmodule stays in draft and the genux runtime URL errors with "app not published".

  • Use the plan's Solution value verbatim. The planner always writes one (default fallback is literally Default).

  • If the plan is somehow missing Solution, pass --solution Default — every Dataverse env has a built-in "Default Solution" by that unique name.

Store the new app-id for Phase 6.

If existing app-id: Use it directly. pac model create is not called, so the Solution line is informational only for this phase.

Phase 4: Generate RuntimeTypes (Conditional)

If any page uses Dataverse entities, generate the TypeScript schema:

Copy & paste — that's it
pac model genpage generate-types --data-sources "entity1,entity2,..." --output-file /RuntimeTypes.ts

Windows + Bash: Always use forward slashes in file paths (e.g., D:/temp/RuntimeTypes.ts).

After generating, read the RuntimeTypes.ts file to verify it generated correctly.

For mock data pages only: Skip this phase.

Phase 5: Build Pages (Parallel)

Read genpage-plan.md and extract the pages table.

5a. Validate the plan before dispatch

Before invoking any builders, verify:

  • At least one page exists in the ## Pages table

  • Every page has a ### [Page Name] subsection in ## Per-Page Specifications

  • All filenames in the ## Pages table are unique. If any are duplicated, rewrite the plan appending -1, -2, etc. before dispatch. Duplicate filenames cause silent last-writer-wins data loss under parallel execution.

See ${PLUGIN_ROOT}/references/plan-schema.md for the full contract.

5b. Single-page fast path (skip Task dispatch when N=1)

If the plan's Pages table contains exactly one row, do NOT dispatch a Task subagent. Inline the page-builder workflow directly in the orchestrator:

  • Read ${PLUGIN_ROOT}/references/rules.md

  • Read the sample listed in the plan's ## Relevant Samples

  • If the plan's Per-Page Specification has Needs caching: true, also read ${PLUGIN_ROOT}/references/data-caching.md

  • If the plan's ## Environment indicates non-English languages, also read ${PLUGIN_ROOT}/references/localization.md

  • Read genpage-plan.md (already in working directory) and RuntimeTypes.ts if Data mode is dataverse

  • Write the .tsx file to <working-dir>/<filename>.tsx following all rules

  • After writing, Grep every named import from @fluentui/react-icons against ${PLUGIN_ROOT}/references/verified-icons.txt (one Grep per name). Rewrite any unverified names with the closest verified alternative; do not load the full icon list into context

  • Proceed to Phase 6

This saves ~5-15s of Task overhead and ~3K tokens that would otherwise be duplicated in a subagent context.

5c. Multi-page: invoke page-builders in parallel

If the plan's Pages table contains 2+ rows, invoke a genpage-page-builder agent via the Task tool per page. Fire all invocations in a single message for parallel execution.

For each page, pass a prompt that includes:

  • Page name (e.g., "Candidate Tracker")

  • Target file name (e.g., "candidate-tracker.tsx")

  • Absolute path to genpage-plan.md

  • Data mode (see below) — either a RuntimeTypes path or an explicit mock flag

  • Working directory

  • Plugin root: ${PLUGIN_ROOT}

For Dataverse pages, include the RuntimeTypes line:

You are the genpage-page-builder agent. Generate the [Page Name] page.

  • Target file: [filename].tsx

  • Plan document: [absolute path to genpage-plan.md]

  • Data mode: dataverse

  • RuntimeTypes: [absolute path to RuntimeTypes.ts]

  • Working directory: [absolute path from Phase 0]

  • Plugin root: ${PLUGIN_ROOT}

Follow the instructions in your agent file. Write [filename].tsx and return your result when done.

For mock data pages, omit the RuntimeTypes line and set Data mode: mock:

You are the genpage-page-builder agent. Generate the [Page Name] page.

  • Target file: [filename].tsx

  • Plan document: [absolute path to genpage-plan.md]

  • Data mode: mock

  • Working directory: [absolute path from Phase 0]

  • Plugin root: ${PLUGIN_ROOT}

Follow the instructions in your agent file. Write [filename].tsx and return your result when done.

Wait for all page-builder tasks to complete before proceeding.

Phase 6: Deploy

For each .tsx file produced, deploy to Power Apps.

Copy the upload commands below exactly — --app-id, --code-file, --prompt, --agent-message are all required and must use these exact flag names.

Log the full command verbatim into workflow-log.md under a ## Phase 6 — Deploy section before invoking it. Including --prompt and all other flags. The eval harness greps the log for these tokens — a terse summary like Command: pac model genpage upload --add-to-sitemap will fail the --prompt scoping assertion. Format:

Copy & paste — that's it

## Phase 8 — Summary

| Page | File | Entities | Status |
|------|------|----------|--------|
| | .tsx | | Deployed |

- App: ( )
- Entities created: 
- 
- Browser verification: >

The log MUST contain command-level entries for every prereq / auth / question / upload / script invocation — not just outcome summaries. The eval harness greps the log for tokens like node --version, pac auth list, AskUserQuestion, EnterPlanMode, --prompt, check-auth.js, etc. A decision-only log (e.g., Decision: new page without the underlying AskUserQuestion) will fail Layer 1 assertions even when the agent's behavior was correct.

Then present a final summary to the user:

Copy & paste — that's it

## Genpage Complete

| Page | File | Entities | Status |
|------|------|----------|--------|
| [Name] | [file].tsx | [entities or "mock data"] | Deployed |

App: [app name] ([app-id])
Screenshots: [if verification was done]
Next steps: Share with team, iterate on design, create additional pages

Edit Flow

For the edit flow (triggered when the genpage-planner returns { "action": "edit" }), see edit-flow.md in this folder.

The edit flow has its own 8 phases (Edit Phase 1-8): discover and select target app + page via pac model list + pac model genpage list, download, generate RuntimeTypes if needed, invoke genpage-edit-planner, apply the edit inline, deploy, verify, summarize.