Turn numbers into a clear story

Your workflow

Review each handoff before moving on

Inspect and prepare the workbook
Excel spreadsheets by Anthropic ↗
Check structure, formulas, missing data, and units before interpreting the numbers.
Carry forward
A clean workbook and an explicit list of data limitations.
Answer the analytical question
Senior data scientist by Alireza Rezvani ↗
Choose an appropriate analysis and check assumptions, uncertainty, and competing explanations.
Carry forward
Reproducible findings, useful charts, and limits on interpretation.
Build the presentation
PowerPoint by Anthropic ↗
Translate the analysis into an editable deck with clear takeaways and supporting evidence.
Carry forward
A rendered and reviewed presentation with source notes.

What good looks like

Numbers in the deck match the checked workbook.
Charts show units, dates, and meaningful comparisons.
Correlation is not presented as proof of causation.
Slides are legible and the recommendation matches the analysis.

Take the brief with you

Replace the bracketed details, set up the source skills in your agent, then use this brief to guide the work.

Use [spreadsheet] to answer [question] for [audience]. Check the data, explain the analysis and its limits, and create an editable presentation with traceable numbers.

Inputs to gather:
- The source spreadsheet and definitions for its columns
- Business question, audience, and relevant time period
- Known gaps, exclusions, or data-quality concerns

Requirements: An agent with spreadsheet, statistical, and presentation tooling. The source skills have their own runtime and library requirements.

Follow this sequence. Review each handoff before continuing. Tell me when a required tool or input is missing; do not claim work was done without evidence.

1. Inspect and prepare the workbook — Excel spreadsheets
Check structure, formulas, missing data, and units before interpreting the numbers.
Handoff: A clean workbook and an explicit list of data limitations.
Skill source: https://github.com/anthropics/skills/blob/33375500bcea98d610eb30ce10ac4e59b89c390d/skills/xlsx/SKILL.md

2. Answer the analytical question — Senior data scientist
Choose an appropriate analysis and check assumptions, uncertainty, and competing explanations.
Handoff: Reproducible findings, useful charts, and limits on interpretation.
Skill source: https://github.com/alirezarezvani/claude-skills/blob/19392f7a08264ed00486a251f5b2098321771f94/engineering-team/skills/senior-data-scientist/SKILL.md

3. Build the presentation — PowerPoint
Translate the analysis into an editable deck with clear takeaways and supporting evidence.
Handoff: A rendered and reviewed presentation with source notes.
Skill source: https://github.com/anthropics/skills/blob/33375500bcea98d610eb30ce10ac4e59b89c390d/skills/pptx/SKILL.md

Final output: A checked workbook and an editable presentation.

Review checklist:
- Numbers in the deck match the checked workbook.
- Charts show units, dates, and meaningful comparisons.
- Correlation is not presented as proof of causation.
- Slides are legible and the recommendation matches the analysis.

Follow my agent and project instructions. Ask before sending, publishing, deploying, or spending when I have not already authorised that action.

Your workflow

Inspect and prepare the workbook

Answer the analytical question

Build the presentation

What good looks like

Take the brief with you

A different goal in mind?

Research a decision with confidence

Make a product explainer