Summary

Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it.

SKILL.md

Deck Refresh

Update numbers across the deck. The deck is the source of truth for formatting; you're only changing values.

Environment check

This skill works in both the PowerPoint add-in and chat. Identify which you're in before starting — the edit mechanism differs, the intent doesn't:

  • **Add-in** — the deck is open live; edit text runs, table cells, and chart data directly.
  • **Chat** — the deck is an uploaded file; edit it by regenerating the affected slides with the new values and writing the result back.

Either way: smallest possible change, existing formatting stays intact.

This is a four-phase process and the third phase is an approval gate. Don't edit until the user has seen the plan.

Phase 1 — Get the data

Use `ask_user_question` to find out how the new numbers are arriving:

  • **Pasted mapping** — user types or pastes "revenue $485M → $512M, EBITDA $120M → $135M." The clearest case.
  • **Uploaded Excel** — old/new columns, or a fresh output sheet the user wants pulled from. Read it, confirm which column is which before you trust it.
  • **Just the new values** — "Q4 revenue was $512M, margins were 22%." You figure out what each one replaces. Workable, but confirm the mapping before you touch anything — a "$512M" that you map to revenue but the user meant for gross profit is a quiet disaster.

Also ask about **derived numbers**: if revenue moves, does the user want growth rates and share percentages recalculated, or left alone? Most decks have "+15% YoY" baked in somewhere that's now stale. Whether to touch those is a judgment call the user should make, not you.

Phase 2 — Read everything, find everything

Read every slide. For each old value, find every instance — including the ones that don't look the same:

| Variant | Example | |---|---| | Scale | `$485M`, `$0.485B`, `$485,000,000` | | Precision | `$485M`, `$485.0M`, `~$485M` | | Unit style | `$485M`, `$485MM`, `$485 million`, `485M` | | Embedded | "revenue grew to $485M", "a $485M business", axis labels |

A deck that says `$485M` on slide 3, `485` on slide 8's chart axis, and `$485.0 million` in a footnote on slide 15 has three instances of the same number. Find-replace misses two of them. You shouldn't.

**Where numbers hide:**

  • Text boxes (obvious)
  • Table cells
  • Chart data labels and axis labels
  • Chart source data — the numbers driving the bars, not just the labels on them
  • Footnotes, source lines, small print
  • Speaker notes, if the user cares about those

Build a list: for each old value, every location it appears, the exact text it appears as, and what it'll become. This list is the plan.

Phase 3 — Present the plan, get approval

**This is a destructive operation on a deck someone spent time on.** Show the full change list before editing a single thing. Format it so it's scannable:

$485M → $512M (Revenue)
  Slide 3  — Title box: "Revenue grew to $485M"
  Slide 8  — Chart axis label: "485"
  Slide 15 — Footnote: "$485.0 million in FY24 revenue"

$120M → $135M (Adj. EBITDA)
  Slide 3  — Table cell
  Slide 11 — Body text: "$120M of Adj. EBITDA"

FLAGGED — possibly derived, not in your mapping:
  Slide 3  — "+15% YoY" (growth rate — stale if base year didn't change?)
  Slide 7  — "12% market share" (was this computed from $485M / market size?)

The flagged section matters. You're not just executing a find-replace — you're catching the second-order effects the user would've missed at 11pm. If the mapping says `$485M → $512M` and slide 3 also has `+15% YoY` right next to it, that growth rate is probably wrong now. Flag it; don't silent

<!-- truncated -->

View raw file

Sponsored
MoltAwards: Turn AI agents loose on government contracts & jobs! logo

Turn AI agents loose on government contracts

Learn more