configure-env-variables

Plugin check: Run node "${PLUGIN_ROOT}/scripts/check-version.js" — if it outputs a message, show it to the user before proceeding.

configure-env-variables

Creates and links Dataverse environment variables to Power Pages site settings, enabling different configuration values per deployment environment (dev vs staging vs prod). Generates deployment-settings.json for use by deploy-pipeline.

Background

Power Pages site settings can be backed by environment variables (GA March 2025, enhanced data model only). When linked:

• The site setting's mspp_source changes from 0 (static) to 1 (environment variable)
• The runtime reads the env var value for the current environment instead of the static mspp_value
• During pipeline deployment, target-environment values are injected via deploymentsettingsjson

API note: The site setting → env var link is set via a HAR-confirmed OData PATCH pattern (v9.0, EnvironmentValue nav property, if-match: * and clienthost: Browser headers required). This is handled by scripts/lib/link-site-setting-to-env-var.js. All steps are fully automated.

Prerequisites

• PAC CLI authenticated: pac auth who
• Azure CLI token available: az account get-access-token
• .solution-manifest.json exists in the project root (run setup-solution first)
• Power Pages site deployed to dev environment (.powerpages-site/ folder exists)

Phase 0 — ALM plan gate

plan-alm is the front door. When the user expresses an ALM intent (promote / ship / deploy / set up CI-CD / move to staging / push to prod), the orchestrator (/power-pages:plan-alm) should run first. This Phase 0 enforces that and is meant to fail closed when there's no plan, not to be a one-time check the user can dismiss forever.

Skip rule. If this skill was invoked as part of an active plan-alm orchestration, skip Phase 0 entirely and proceed to Phase 1. The gate helper exposes this via its inExecution block — pass through silently to Phase 1 when:

inExecution.status === "active"

The helper computes this from docs/.alm-plan-data.json — PLAN_STATUS === "In Execution" AND LAST_INVOCATION_AT within the last 60 minutes. check-alm-plan.js refreshes LAST_INVOCATION_AT automatically on every invocation that finds the plan in execution, so each in-chain skill keeps the chain alive for the next one — even multi-hour deploys (deploy-pipeline alone can take 60 min per stage) survive the window without the chain incorrectly de-classifying. Stalled chains (no heartbeat for > 60 min) reclassify as stale-heartbeat and Phase 0 gates fire normally so an abandoned plan doesn't silently bypass user confirmation.

When inExecution.status is anything other than "active" ("not-running", "stale-heartbeat", "no-plan"), run the Phase 0 gate flow below. Branch on the remaining helper fields:

Step 1 — Run the gate helper.

node "${PLUGIN_ROOT}/scripts/lib/check-alm-plan.js" --projectRoot "."

The helper returns JSON with { exists, deferred, stale, staleness: { reason, detail }, generatedAt, planStatus, ... }. Pass --envUrl, --token, --solutionId once Phase 1 has acquired them if you also want a freshness check; otherwise the helper does an existence-only check, which is sufficient for the gate decision below.

Step 2 — Branch on the result.

Step 3 — No plan. Tell the user:

"No ALM plan exists for this project. /power-pages:plan-alm builds one — it detects the project state, asks about your promotion strategy (PP Pipelines vs Manual export/import), classifies which site settings should become environment variables, and orchestrates the right skills (including this one) in the right order. Want me to run plan-alm now?"

🚦 Gate (intent · configure-env-variables:0.no-plan): Fail-closed entry gate when check-alm-plan.js returns exists:false. Helper-script-backed.

AskUserQuestion:

• Yes (Recommended) → invoke /power-pages:plan-alm. It builds the plan and returns — plan-alm is a planner and does not deploy. This skill then re-runs the Phase 0 check (now exists:true) and proceeds to Phase 1, picking up the pre-classified siteSettings from docs/alm/alm-plan-context.json.
• Continue without a plan → set BYPASSED_PLAN_GATE = true and proceed to Phase 1.
• Cancel → exit cleanly.

Step 4 — Stale plan. Tell the user:

"ALM plan exists from {generatedAt} but the source solution has been modified since (at {solution.modifiedon}). Components may have changed. Re-running plan-alm will refresh the analysis and the rendered HTML."

🚦 Gate (intent · configure-env-variables:0.stale-plan): Fail-closed entry gate when check-alm-plan.js returns stale:true (solution-modified-since-plan). Helper-script-backed.

AskUserQuestion:

• Refresh (Recommended) → invoke /power-pages:plan-alm. After completion, re-run the Phase 0 helper once to confirm freshness; if still stale, surface the detail and proceed to Phase 1 anyway (don't infinite-loop).
• Continue → set STALE_PLAN_ACK = true and proceed to Phase 1.
• Cancel → exit cleanly.

Why this gate exists. Direct invocation of configure-env-variables creates env var definitions and a deployment-settings.json without the orchestrator's per-stage value gathering, site-setting classification (keepAsIs / promoteToEnvVar / authNoValue / excluded), and pipeline-strategy alignment. Users running this skill standalone often pick env var schema names that don't align with the plan's solution split, miss authNoValue settings that the plan classified for inclusion, or generate stage names that don't match the pipeline configured later by setup-pipeline. The gate ensures plan-alm either ran (so env var decisions are coherent with the rest of the deployment plan) or the user explicitly chose to bypass it.

Phase 1 — Discover Existing State

Read project context and query Dataverse to understand what's already configured.

1.1 Read project files:

cat .solution-manifest.json          # get solutionUniqueName, environmentUrl, publisher.prefix
cat docs/alm/last-pipeline.json              # get hostEnvUrl, stages[].name
ls .powerpages-site/site-settings/   # list all site setting YAML files

1.2 Acquire token and verify prerequisites:

Capture output as JSON; extract .envUrl (store as devEnvUrl) and .token (store as TOKEN).

1.3 Query existing env vars in the environment:

1.4 Query site settings that already have env vars linked (mspp_source = 1):

Get WEBSITE_ID from .powerpages-site/website.yml → id field.

1.5 Parse site setting YAML files to list all settings and their current source:

• Files with source: 1 are already env-var-backed
• Files with source: 0 or no source field are static

Present a summary table to the user:

Phase 2 — Select Site Settings and Plan Env Vars

Ask the user which site settings should be backed by environment variables. Present the list of static site settings as candidates. Recommend settings that are likely to vary per environment:

Common candidates:

• Authentication/OpenIdConnect/AzureAD/ClientId — Entra ID app registration differs per env
• Authentication/OpenAuth/Microsoft/ClientId — OAuth app ID
• Authentication/OpenAuth/Microsoft/ClientSecret — OAuth secret (use Secret type)
• Authentication/Registration/LocalLoginEnabled — may differ in dev vs prod
• Any Authentication/Registration/OpenRegistrationEnabled — open sign-up policy
• Custom site settings the user has added

🚦 Gate (plan · configure-env-variables:2.selection): User picks which site settings get promoted to env vars. Multi-select. Cancel exits before any env var definitions are created.

Ask via AskUserQuestion:

"Which site settings should be backed by environment variables? I'll create an env var for each and guide you through linking them.

Here are the candidates (enter numbers, comma-separated):

1. Authentication/Registration/LocalLoginEnabled (currently: true)
2. Authentication/OpenIdConnect/AzureAD/ClientId (currently: empty)
3. [other settings...] N. I'll type my own setting names"

For each selected setting, ask for:

1. Env var schema name — generate via ${PLUGIN_ROOT}/scripts/lib/generate-env-var-schema-name.js (single source of truth shared with setup-solution):

   node "${PLUGIN_ROOT}/scripts/lib/generate-env-var-schema-name.js" \
     --publisherPrefix "{publisherPrefix}" --settingName "{settingName}"
   Output: { schemaName, sanitized }. The canonical rule is {prefix}_{settingName.replace(/[^A-Za-z0-9]+/g,'_').toLowerCase()} — e.g. Authentication/Registration/LocalLoginEnabled becomes ids_authentication_registration_localloginenabled. Do NOT inline a custom rule here: setup-solution emits schema names from this helper, and configure-env-variables MUST match what setup-solution already created (otherwise the link to the existing site setting fails). The user can override the suggestion if they have a reason, but the default must come from the helper.
2. Display name (human-readable)
3. Type: String (default), Boolean, Number, Secret
4. Dev/source value (default = current mspp_value from YAML)
5. Per-stage values — for each stage in docs/alm/last-pipeline.json, what should the value be?

Example:

Setting: Authentication/Registration/LocalLoginEnabled
  Schema name: ids_authentication_registration_localloginenabled
  Display name: IdeaSphere Local Login Enabled
  Type: String (site settings always resolve as strings)
  Dev value: true
  Staging value: false
  Production value: false

Phase 3 — Create Environment Variable Definitions

For each planned env var, branch on typeCode:

{displayName} substitution rule — pick a human-readable label, not the schema name. The Dataverse displayname column on environmentvariabledefinition is what shows up in PPAC, in the rendered ALM plan's Env Variables tab, and in last-env-vars.json. If you substitute the schema name (e.g. c311_api_secret) into --displayName, the plan and PPAC both read like raw tokens. Pick the friendly label from the source site setting (e.g. API Secret from c311/api_secret's Description or its human-readable title in the planData). When no friendly label exists, derive one from the schema name by title-casing the prefix-stripped tail (e.g. c311_api_secret → Api Secret → manually clean up to API Secret). Keep displayName and schemaName deliberately different — they have different audiences.

3.A — String env vars (typeCode = 100000000)

Definition-only flow — per-stage values come later from deployment-settings.json via deploymentsettingsjson PATCH at deploy time.

3.A.1 Check and create if needed using create-env-var-definition.js (the script checks for an existing definition by schemaName before posting):

node "${PLUGIN_ROOT}/scripts/lib/create-env-var-definition.js" \
  --envUrl "{devEnvUrl}" \
  --token "{TOKEN}" \
  --schemaName "{schemaName}" \
  --displayName "{displayName}" \
  --type 100000000 \
  --defaultValue "{devValue}"

Capture output as JSON; extract .definitionId (store as envVarDefId) and check .created (true = newly created, false = already existed). If already existed, confirm the existing definition matches expectations before proceeding.

3.A.2 Create the current-environment value (the live dev value, separate from defaultvalue):

POST {devEnvUrl}/api/data/v9.2/environmentvariablevalues
Content-Type: application/json
 
{
  "EnvironmentVariableDefinitionId@odata.bind": "/environmentvariabledefinitions({envVarDefId})",
  "value": "true"
}

Response: HTTP 204.

3.B — Secret env vars (typeCode = 100000005) when a Key Vault Secret URI is available

Acceptable Secret reference formats

Dataverse / the Power Platform Pipelines handler accept exactly three formats for a Secret-type env var value. Anything else is rejected at import time with "ImportAsHolding failed: The value provided as a secret reference does not match a valid secret reference format" — and the rejection can come hours after the deploy queues, since the host serializes imports. The pre-deploy validator (deploy-pipeline Phase 5.1b, helper at scripts/lib/validate-deployment-settings.js) catches these formats upfront, but they're documented here so SKILL.md authors writing to deployment-settings.json use the right shape from the start.

Accepted:

1. Key Vault Secret Identifier URI — what store-keyvault-secret.js emits in its secretUri output:

   https://<vault>.vault.azure.net/secrets/<name>
   https://<vault>.vault.azure.net/secrets/<name>/<32-char-hex-version>

   Vault name must be 3–24 chars, lowercase alphanumeric + hyphens, start with a letter, end with a letter or digit. This is the canonical form and the one add-server-logic Phase 7.2a hands back via the user-visible "share the secretUri output" step.

2. Azure resource ID — the full ARM-style path, when the maker doesn't have the URI form handy:

   /subscriptions/<subscriptionId>/resourceGroups/<rg>/providers/Microsoft.KeyVault/vaults/<vault>/secrets/<name>

   Both resourceGroups and resourcegroups casings are accepted by Dataverse.

3. Empty string "" — legitimate when the env var has a sensible default-value baked into the definition. Per-stage Value: "" in deployment-settings.json means "use the definition default in this stage."

Rejected (validator flags these):

• @KeyVault(vaultName=<vault>;secretName=<name>) — a templating-style placeholder. NOT recognized by Dataverse. Real-world failure case from a live session: this exact pattern caused a 4h41m queue wait + ImportAsHolding failure. Replace with form (1) or (2).
• <TODO>, <KEY_VAULT_URI>, <PLACEHOLDER>, ${ENV_VAR} — any angle-bracketed or shell-style placeholder. Same story; these are maker conventions Dataverse does not parse.
• Plain-text secret values — both insecure (the file is committed to git) AND rejected by Dataverse when the env var type is Secret. If the maker intended plain text, the env var type should be String (100000000), not Secret (100000005).
• HTTPS URLs that look like Key Vault URIs but miss the canonical shape (.com host suffix instead of .net, missing /secrets/ segment, short version suffix). The validator flags these specifically as invalid-uri so the maker can fix the typo rather than re-coining the value.

Implementation

When the user has already stored the secret in Azure Key Vault and has a Secret Identifier URI in canonical form, use the atomic deep-insert path — the same flow add-server-logic Phase 7.2a uses:

node "${PLUGIN_ROOT}/scripts/create-environment-variable.js" "{devEnvUrl}" \
  --schemaName "{schemaName}" \
  --displayName "{displayName}" \
  --type secret \
  --value "{secretUri}"

This script POSTs a single deep-insert that creates the environmentvariabledefinition (type 100000005) AND the environmentvariablevalues row with the Key Vault URI in value — Dataverse resolves the secret at runtime by dereferencing the URI. The script is ALM-aware and adds the new definition to the target solution via AddSolutionComponent (same resolve-target-solution.js resolution order as the rest of the family).

Cross-reference: see ${PLUGIN_ROOT}/skills/add-server-logic/SKILL.md Phase 7.2a for the full Key Vault end-to-end: vault selection (list-azure-keyvaults.js / create-azure-keyvault.js), secret storage (store-keyvault-secret.js with stdin to keep the secret out of the conversation), and the URI handoff back to env-var creation. The implementation is identical; we re-use the same helper scripts.

3.C — Secret env vars without a Key Vault URI (legacy / deferred)

When the user has not chosen Key Vault yet or hasn't stored the secret, create the definition with an empty value placeholder and instruct the user to wire the value via Power Platform Admin Center after import:

node "${PLUGIN_ROOT}/scripts/lib/create-env-var-definition.js" \
  --envUrl "{devEnvUrl}" \
  --token "{TOKEN}" \
  --schemaName "{schemaName}" \
  --displayName "{displayName}" \
  --type 100000005

(omit --defaultValue — Dataverse stores Secret-type definitions with no default until a environmentvariablevalues row is added). Tell the user the value must be set per target environment via PPAC → Solutions → Environment Variables → select → set value. This path is the legacy fallback; the dedicated configure-secrets skill (queued for a follow-up PR) will eventually orchestrate 3.B for credential-style settings end-to-end.

Type-code reference

• 100000000 = String — flows via path 3.A.
• 100000005 = Secret — flows via path 3.B (preferred when Key Vault URI is available) or 3.C (deferred / legacy).

Other canonical types (100000001 Number, 100000002 Boolean, 100000003 JSON, 100000004 DataSource) follow path 3.A with the appropriate --type code.

Track created env var IDs: { schemaName, envVarDefId, siteSettingName, devValue, stageValues: { stageName: value } }.

Phase 4 — Link Site Settings to Env Vars

For each site setting to link, run link-site-setting-to-env-var.js (HAR-confirmed PATCH via v9.0 API — no UI step required):

node "${PLUGIN_ROOT}/scripts/lib/link-site-setting-to-env-var.js" \
  --envUrl "{devEnvUrl}" \
  --token "{TOKEN}" \
  --siteSettingId "{siteSettingId}" \
  --definitionId "{envVarDefId}" \
  --schemaName "{schemaName}"

Capture output as JSON; check .ok and .verified are both true. The script applies the PATCH with the required if-match: * and clienthost: Browser headers and then verifies mspp_source === 1 and _mspp_environmentvariable_value matches the definition ID.

If .ok is false or .verified is false, report the error and ask the user:

"Linking {settingName} to env var {schemaName} failed. How would you like to proceed?

1. Retry
2. Skip this setting — keep it as static
3. Cancel"

Phase 5 — Add Env Vars to Solution

For each env var definition, add it to the solution:

POST {devEnvUrl}/api/data/v9.2/AddSolutionComponent
Content-Type: application/json
 
{
  "ComponentId": "{envVarDefId}",
  "ComponentType": 380,
  "SolutionUniqueName": "IdeaSphereSolution",
  "AddRequiredComponents": false,
  "DoNotIncludeSubcomponents": false
}

Response: HTTP 200 with { "id": "..." }.

Note: Do NOT add environmentvariablevalues records to the solution — those are environment-specific and must stay local to each environment. Only the definition (type 380) goes in the solution.

Verify the env var appears in solution components:

GET {devEnvUrl}/api/data/v9.2/solutioncomponents?$filter=_solutionid_value eq {solutionId} and componenttype eq 380&$select=objectid

Phase 6 — Generate deployment-settings.json

Write deployment-settings.json to the project root. This file stores per-stage environment variable override values and is read by deploy-pipeline.

{
  "$schema": "https://schemas.microsoft.com/power-platform/deployment-settings/2024",
  "description": "Per-stage environment variable values for IdeaSphereSolution pipeline deployments. Commit this file. Do not store secrets here — use Secret type env vars backed by Key Vault instead.",
  "stages": {
    "Deploy to Staging": {
      "EnvironmentVariables": [
        {
          "SchemaName": "ids_LocalLoginEnabled",
          "Value": "false"
        }
      ],
      "ConnectionReferences": []
    }
  }
}

Stage names must match exactly the stages[].name values in docs/alm/last-pipeline.json.

For Secret-type env vars: write "Value": "" and add a comment instructing the user to populate via Azure Key Vault or pipeline secrets — never store raw secrets in this file.

Phase 6.1 — Pre-write validation (REQUIRED, do not skip)

Before persisting deployment-settings.json to disk, validate every entry against the canonical Secret-reference formats. The Power Platform Pipelines handler validates the deploymentsettingsjson PATCH at import time — after the stage run has been queued for potentially hours behind serialized imports. A bad value here (e.g. the templating-style @KeyVault(vaultName=...;secretName=...) placeholder, raw secret content, malformed URI) fails the import with "ImportAsHolding failed: The value provided as a secret reference does not match a valid secret reference format" — and the user only finds out hours later. Live evidence (2026-05-21 Citizens portal deploy): a @KeyVault(...) placeholder in deployment-settings.json shipped to the host, queued behind other imports, then rejected after a 4h41m wait.

Catching invalid values at write time is the difference between a sub-second hard stop and a hours-long blind alley.

node "${PLUGIN_ROOT}/scripts/lib/validate-deployment-settings.js" \
  --settingsFile "./deployment-settings.json" \
  --envUrl "{devEnvUrl}" \
  --token "{token}"

The helper reads the file you just wrote, classifies each EnvironmentVariables[] entry by valueFormat (kv-uri / kv-resource-id / kv-placeholder / empty / plain-text / invalid-uri), cross-checks Secret-type entries against the Dataverse type lookup when --envUrl is provided, and emits { summary: { valid, invalid, "unknown-type", skipped }, findings[] }. Branch on summary.invalid:

• summary.invalid === 0 → proceed to Phase 7.
• summary.invalid > 0 → STOP. Surface each invalid findings[] entry to the user with its schemaName, valueFormat, value, and message. Common offenders:
  • @KeyVault(vaultName=...;secretName=...) → kv-placeholder (a templating-style format never recognized by Dataverse). Fix: replace with the Key Vault Secret Identifier URI https://<vault>.vault.azure.net/secrets/<name>[/<version>] or the full Azure resource ID /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.KeyVault/vaults/<vault>/secrets/<name>, or use an empty string to fall back to the env var definition's default.
  • Raw secret content (any plain string that doesn't match a URI or resource-ID pattern) → plain-text. Fix: never commit raw secrets — switch to a Key Vault URI/resource ID, or use empty string + populate per-stage via pipeline secrets.
  • Malformed URI → invalid-uri. Fix: re-check the format against the canonical patterns above.

Re-run validation after the user supplies corrected values. Only proceed to Phase 7 when summary.invalid === 0.

🚦 Gate (consent · configure-env-variables:6.1.invalid-secret-values): Pre-write validation found Secret references in invalid formats. Refuse to ship the file with these values — fix or abort. Caller cannot bypass: every recorded invalid value would fail import.

Why this gate is hard-stop, not "proceed anyway": there's no value to "force-write" a known-bad Secret reference. The Pipelines handler will reject it deterministically at import time. Writing it anyway only wastes the queue wait. If the user genuinely doesn't have a canonical Key Vault URI yet, the correct path is to leave Value: "" (definition default) and circle back when the secret reference is ready.

Phase 7 — Verify and Commit

7.1 Sync site settings YAML — run pac pages upload-code-site to push the updated site settings (with source: 1 now visible in Dataverse) back to the YAML:

pac pages upload-code-site --rootPath "." --environment {devEnvUrl}

After upload, check the updated YAML file — it should now contain source: 1 and reference the env var schema name.

7.2 Verify solution contains env var:

GET {devEnvUrl}/api/data/v9.2/solutioncomponents?$filter=_solutionid_value eq {solutionId} and componenttype eq 380

7.2b Verify values landed on dev env. After creating the definitions + values, query the dev env to confirm each environmentvariablevalues row exists. The shared helper scripts/lib/verify-env-var-values.js does this read-only check:

node "${PLUGIN_ROOT}/scripts/lib/verify-env-var-values.js" \
  --envUrl "{devEnvUrl}" \
  --schemaNames "{comma-separated schema names just created}"

Capture stdout as JSON. If summary.landed === summary.total, the local definition+value chain is healthy and deploy-pipeline Phase 5.2's deploymentsettingsjson PATCH will have what it needs. If summary.missing > 0, log a one-line warning and recommend re-running configure-env-variables — most likely cause is a transient OData write failure that left a definition without its paired value. The same helper runs at deploy time (deploy-pipeline Phase 7.6.5) against the target env; centralizing the check keeps the diagnostic shape consistent across the dev-side write and the target-side landing.

7.2b.bump Bump source solution version + manifest sync. Creating new env var definitions and adding them to the solution via AddSolutionComponent modifies solutions.modifiedon. Bump the patch segment so downstream skills see a strictly-increasing version label AND the local .solution-manifest.json tracks the change:

node "${PLUGIN_ROOT}/scripts/lib/bump-solution-version.js" \
  --envUrl "{devEnvUrl}" \
  --token "{token}" \
  --uniqueName "{solutionUniqueName}" \
  --projectRoot "."

The helper returns { previous, next, bumped: true, manifestUpdated, manifestUpdateReason }. --projectRoot "." makes it update .solution-manifest.json's solution.version (or matching solutions[].version in multi-solution mode) atomically. Without this bump, .solution-manifest.json drifts behind Dataverse — validated against a real Citizens portal run where the manifest sat at 1.0.0.2 while Dataverse had reached 1.0.0.4 after configure-env-variables and deploy-pipeline had each touched the source.

7.2c Refresh the post-config env var snapshot. Re-run the discovery helper to write docs/alm/last-env-vars.json with the freshly-created definitions. Without this, the rendered ALM plan's Env Variables tab stays at whatever setup-solution last wrote — newly-created definitions don't appear until plan-alm runs again. The refresh helper invoked at the end of this phase ingests this sidecar into planData.envVars[] AND mirrors it over to docs/alm/alm-env-vars.json so both snapshots stay current:

node "${PLUGIN_ROOT}/scripts/lib/discover-env-var-definitions.js" \
  --envUrl "{devEnvUrl}" \
  --publisherPrefix "{publisherPrefix}" \
  --websiteRecordId "{websiteRecordId}" \
  --token "{token}" \
  --solutionId "{solutionId}" > docs/alm/last-env-vars.json.tmp \
  && mv docs/alm/last-env-vars.json.tmp docs/alm/last-env-vars.json

The tmp-file write pattern preserves a prior good snapshot if discovery fails transiently. Pass --solutionId so the result is scoped to the target solution — without it, a generic publisher prefix would return env vars from unrelated projects in the same tenant.

7.3 Commit:

git add .powerpages-site/site-settings/ deployment-settings.json
git commit -m "Configure env vars: {list of schema names} — link {setting names} to env vars for ALM"

7.4 Present summary:

✅ Environment variables configured
 
Env vars created/confirmed:
  ids_LocalLoginEnabled → Authentication/Registration/LocalLoginEnabled
    Dev value: true
    Staging: false
 
Added to solution: IdeaSphereSolution (1 env var component)
 
deployment-settings.json written with:
  Stage "Deploy to Staging": ids_LocalLoginEnabled = false
 
Next steps:
  1. Run /power-pages:export-solution to export the updated solution
  2. Run /power-pages:deploy-pipeline — it will automatically read deployment-settings.json
     and inject the env var values during deployment
  3. After deployment, verify in staging: the Sign In button should be hidden
     (Authentication/Registration/LocalLoginEnabled = false)

7.5 Record skill usage:

Reference: ${PLUGIN_ROOT}/references/skill-tracking-reference.md

Follow the skill tracking instructions in the reference to record this skill's usage. Use --skillName "ConfigureEnvVariables".

7.5b Refresh the ALM plan (if one exists):

node "${PLUGIN_ROOT}/scripts/lib/refresh-alm-plan-data.js" \
  --projectRoot "." \
  --phase configure-env-variables \
  --render

The helper re-reads docs/alm/last-env-vars.json so newly-created definitions appear in planData.envVars[], backfills per-stage values from deployment-settings.json into the "Values by Environment" matrix, zeroes plannedEnvVarCount, stamps LAST_SYNC_AT, and re-renders docs/alm-plan.html. When docs/.alm-plan-data.json is absent (standalone invocation, not part of an ALM plan), the helper returns ok:false as a soft no-op — safe to run unconditionally.

Point the user at the next step (user-driven sequencing). The helper's stdout JSON includes nextStep: { name, skill: string | null } | null. When non-null, branch on skill: when skill is non-null, tell the user "Plan updated. Next in your plan: {nextStep.name} → run {nextStep.skill} when you're ready."; when skill is null (an internal step such as Finalize, no user command), name the step only — "Plan updated. Next in your plan: {nextStep.name}." — and never print run null. When null or the helper returned ok:false, say nothing about a next step. Never auto-invoke the next skill — the user drives execution.

Key Decision Points (Wait for User)

Task Progress Table