Hire an AI spreadsheet cleanup, data-check and slide-deck builder

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A cleaned copy of the data, with the original kept
• A quality score and a list of what is still weak
• A written story with the point, the proof and the next step
• A slide deck with speaker notes

How it does the job well

• Turn every request into owned actions: who, what and by when.
• Work from the real calendar, notes and lists. Never invent meetings, people or dates.
• Put the most important decision or deadline first, then the details.
• Prepare drafts and proposals. Sending, booking and changing records waits for approval.

Mistakes it avoids

• Losing commitments buried in long notes.
• Mixing confirmed facts with guesses about other people's plans.
• Adding process when a short checklist would do.

What a good result looks like

An example, not your task: You have an export or survey file and a meeting to present it in.

• step-01-data-cleaner.md. The clean copy of your data and a list of the changes made. Your original stays untouched.
• step-02-data-quality-auditor.md. A quality score, the gaps and odd values still left, and what to fix first.
• step-03-data-story-writer.md. The one point your data proves, ordered as context, problem, proof and next step.
• step-04-presentation-builder.md. The slide deck, with one point per slide, speaker notes and proof figures.
• HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Clean the data. Profiles the file, fills or flags blanks, removes repeats, fixes types and formats and treats outliers. The original stays untouched.
• Check the cleaned data. Reads the clean copy for size, types, gaps, outliers and clashes between columns, then gives a quality score and a list of what to fix first.
• Write the story the numbers tell. Finds the one point the data proves for your audience and orders it as context, problem, proof and next step. Every figure is checked against the cleaned file.
• Build the slide deck. Turns the story into slides with one point each, speaker notes and the proof figures on the slide that needs them.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id turn-a-messy-spreadsheet-into-a-clean-slide-deck only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/turn-a-messy-spreadsheet-into-a-clean-slide-deck/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• The data file, as CSV or Excel
• Who the audience is and what decision they must make
• The format you will present in, such as PowerPoint (optional)
• Notes on what the columns mean (optional)

Functions and deliverables

• Spreadsheet cleanup, data-check and slide-deck builder: Share the data file, definitions and meeting goal. Get a cleaned copy, a quality report, a data story and slides where tools allow.
  • A cleaned copy of the data, with the original kept
  • A quality score and a list of what is still weak
  • A written story with the point, the proof and the next step
  • A slide deck with speaker notes
• Dataset cleaner and validator: Give it a dataset and expected schema. Get a quality profile, proposed corrections, validation results and a change log.
  • Cleaned dataset file
  • Log of every transformation
  • Data quality report
  • List of remaining issues
  Source: Burhan Sebin.
• Data quality auditor: Share data and quality rules. Get missing values, duplicates and unusual records, with ranked fixes and a score where supported.
  • Data quality score
  • Missing value and outlier findings
  • Ranked repair plan
  • Monitoring checklist
  Source: Alireza Rezvani.
• Data story writer: Give it your numbers. Get a clear story with the point, the proof and the next step for your readers.
  • Story outline
  • Headline findings
  • Chart suggestions
  • Recommendation and next step
  Source: sickn33.
• Presentation builder: Turn your outline, report or notes into a slide deck built for your audience. Get a presentation builder result in Marp, reveal.js, PPTX or Google Slides.
  • A complete slide deck file in your chosen format
  • A takeaway headline on every slide
  • A suggested chart, image or layout for each slide
  • Speaker notes for each slide
  • A list of claims for you to check before you present
  Source: Burhan Sebin.
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up

Tasks you can use it for

• You have an export or survey file and a meeting to present it in.
• The same file passes through several hands and no one trusts it.
• You need slides fast but cannot afford a wrong number on one.

Limits to check before starting

• You only want the data cleaned: use a data cleaning step on its own, or ask your AI to tidy the file and stop there.
• Your data is a small sample or raw numbers you have not looked at yet: review it by hand or with a person who knows the data first.
• You already have a clean story and only need slides: ask your AI to build the deck from your notes, with no data steps.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It holds HANDOFF.md and the 4 skill files in the order they run: Dataset cleaner and validator, Data quality auditor, Data story writer and Presentation builder.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Give it the file and keep a copy of the original.
• Read the quality report before the story is written, and tell it which columns to trust.
• Say who the audience is and what they must decide.
• Before you present, read the speaker notes aloud once and check every figure against the cleaned file. If the numbers are money, run the deck through the Finance deck quality checker.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/turn-a-messy-spreadsheet-into-a-clean-slide-deck for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.