| name | finance-narrative-integrity-layer |
| description | Keep finance narratives (board decks, monthly reviews) coherent as numbers refresh by using Claude as an integrity layer for reconciliation, consistency checks, and first-pass variance commentary. |
Purpose
Use Claude to maintain a single coherent story behind financial numbers as inputs change, by (1) reconciling narrative claims to a source of truth, (2) reviewing the narrative like a board reader, and (3) drafting recurring variance commentary in an established voice.
When to use
- You ship a board deck where numbers refresh up to the last minute and multiple stakeholders edit in parallel.
- You publish a monthly financial review that must keep consistent voice and conventions month over month.
- You inherit or open a model you don’t fully understand and want an initial driver/structure sanity check.
Inputs
- A board deck or narrative doc (slides or document).
- A single source of truth for the numbers (model output tables, dashboards, or approved extracts).
- Prior-month commentary (for voice/convention consistency).
Instructions
1) Reconcile claims to a single source of truth
- Provide Claude the narrative document/deck and the latest source-of-truth tables.
- Use the reconciliation prompt template: templates/reconcile-claims.md
- Apply fixes in the narrative and rerun whenever numbers move.
2) Read the narrative like a board member
- Use the board-reader prompt template: templates/board-reader-review.md
- Resolve contradictions, missing context, and places where the narrative assumes internal knowledge.
3) Draft first-pass variance commentary in an established voice
- Provide the month’s table and prior-month commentary.
- Use the variance draft template: templates/variance-commentary-first-pass.md
- Edit the output for judgment, nuance, and stakeholder alignment.
4) Separate projects by audience (memory hygiene)
- Keep separate Claude projects for distinct audiences (e.g., board deck vs. monthly review) so tone and conventions remain stable.
- Commit important documents to project memory.
5) Extract decisions from long cross-functional threads
- When a long thread produces a key conclusion, ask Claude to extract the conclusion and reasoning and store it where you will reuse it.
Examples
Source
This skill is derived from: https://claude.com/blog/how-anthropics-finance-team-uses-claude-to-shape-the-narrative-behind-the-numbers