microsoft/preview-offline-scope

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

Preview Offline Scope

Read-only diagnostic. Tells you "if you pushed this profile to users right now, here's what their devices would download and how often it would re-sync." No mutations.

Useful before:

• /setup-offline-profile for a final sanity check
• /assign-offline-profile (so users don't get surprised by data caps)
• /edit-offline-profile to gauge impact of a column-list change

Workflow

1. Verify project + locate profile → 2. Run verify (drift check) → 3. Per-table row counts → 4. Cache-size estimate → 5. Report

---

Step 1 — Verify project + locate profile

Same as /edit-offline-profile Step 1. Read profileId from offline-profile.json or $ARGUMENTS --profile-id. Do not read profile metadata from power.config.json; it is owned by npx power-apps init.

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

Step 2 — Run verify

node "${CLAUDE_SKILL_DIR}/../../scripts/verify-offline-profile.js" <envUrl> \
  --project-root "$(pwd)"

If status: drift, surface the drift list verbatim. The estimate that follows is still meaningful but flag that the live profile diverges from offline-profile.json — recommend re-running /setup-offline-profile or /edit-offline-profile to reconcile.

Step 3 — Per-table row counts (with scope-applied filter)

For each table in the profile, run a count query that applies the same filter the runtime would use:

| recorddistributioncriteria | recordsownedby* flag | Effective filter | |---|---|---| | 1 (All records) | n/a | ?$count=true&$top=0 (whole table) | | 2 + me | recordsownedbyme=true | ?$count=true&$top=0&$filter=_ownerid_value eq <current-user-id> | | 2 + team | recordsownedbymyteam=true | Approx: _ownerid_value in (current user's team-owned IDs); for estimate, use team count from teamroles_association | | 2 + bu | recordsownedbymybusinessunit=true | ?$count=true&$top=0&$filter=_owningbusinessunit_value eq <current-bu-id> | | 0 (Related only) | n/a | Can't estimate independently — depends on parents. Report ~depends on parent counts. |

For current-user/current-BU filters, resolve identity only inside this skill by calling Dataverse WhoAmI through scripts/dataverse-request.js against the resolved <envUrl>. If that call fails, report the affected scope as unknown — current user/BU unavailable instead of blocking the whole preview. Do not expect scripts/resolve-environment.js or auth.config.json.environment to provide UserId / BusinessUnitId.

For each table:

node "${CLAUDE_SKILL_DIR}/../../scripts/dataverse-request.js" <envUrl> GET \
  "<entitysetname>?\$count=true&\$top=0&<scope-filter>"

Cap at 5000 (Dataverse non-aggregate count cap). When the result is exactly 5000, prefix with ≥ in the report.

Step 4 — Cache-size estimate

Rough byte-per-row heuristics (configurable; replace with measured values once we have a real sync benchmark):

| Column type | Bytes | |---|---| | Uniqueidentifier | 40 | | String (avg 80 chars) | 100 | | Integer / Decimal | 12 | | DateTime | 28 | | Boolean / State / Status | 4 | | Picklist (option value only) | 8 | | Memo (avg 500 chars) | 600 | | Lookup (FK only) | 40 | | Image (URL + thumbnail metadata only — see note below for full-image bytes) | 200 | | File (URL + name metadata) | 200 |

For each table, compute: estimatedBytesPerRow = sum(bytesForEach column in selectedcolumns). Then tableTotalBytes = rows × estimatedBytesPerRow.

Per-table sync overhead: each syncintervalinminutes interval triggers a delta query → assume ~20% of total rows touched on a typical day. dailyTransferBytes = (totalBytes × 0.20 × intervalsPerDay).

Step 5 — Report

═════════════════════════════════════════════════════════════
  Offline Scope Preview — <profileName>
═════════════════════════════════════════════════════════════

Drift status: ok | drift (see verify output)

Per-table breakdown:

| Table              | Scope          | Rows     | Cols | Est. bytes | Sync (min) |
|--------------------|----------------|----------|------|------------|------------|
| chnl_region        | All records    | 12       | 7    | 4 KB       | 60         |
| chnl_product       | All records    | 312      | 13   | 280 KB     | 60         |
| chnl_rmprofile     | Org+me         | 1        | 10   | 1 KB       | 10         |
| chnl_store         | Org+me         | 84       | 17   | 112 KB     | 10         |
| chnl_storevisit    | Org+me         | 412      | 13   | 220 KB     | 5          |
| chnl_order         | Org+me         | 156      | 14   | 95 KB      | 10         |
| chnl_orderline     | Related only   | ~depends | 11   | ~150 KB    | 10         |

Total initial download : ~860 KB (5000-rows cap not hit)
Daily transfer estimate: ~12 MB / device / day (assuming 20% delta rate)

Sync intervals per day:
  chnl_storevisit (5 min)  → 288 syncs/day  ⚠ high
  chnl_store      (10 min) → 144 syncs/day
  chnl_order      (10 min) → 144 syncs/day
  chnl_rmprofile  (10 min) → 144 syncs/day
  chnl_region     (60 min) → 24  syncs/day
  chnl_product    (60 min) → 24  syncs/day

Concerns:
  - chnl_storevisit at 5 min could exceed mobile data caps in low-signal areas
    (battery drain too). Consider 10 min unless 5 min is mission-critical.

Image / File bytes NOT counted by these heuristics. The metadata (URL +
thumbnail size) IS counted at 200 bytes/row, but the JPEG/file payload
itself transfers separately at runtime sync time. To estimate image
storage, multiply expected non-empty image rows × average JPEG size
(typically 10–500 KB per thumbnail).

Status code (final line)

• DONE — estimate produced, no concerns
• DONE_WITH_CONCERNS: <list> — estimate produced but flagged items (high sync rates, near-cap row counts, drift detected, etc.)
• NEEDS_CONTEXT: <missing> — no profile to estimate against
• BLOCKED: <reason> — auth or query failures

Notes

This skill is intentionally estimate-grade, not precise. The byte heuristics are rule-of-thumb; real cache size depends on Dataverse's storage layout + JSON serialization + per-device cache compression. The numbers are useful for comparative decisions (one scope vs another, one column list vs another), not for absolute capacity planning.

For precise figures, the only source of truth is the runtime sync log itself — only available once the app is deployed and an RM has signed in.