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data-analyst SKILL.md skillA

data-analyst from genspark-ai/genoffice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add genspark-ai/genoffice/data-analyst@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: genspark-ai/genoffice
Path: skills/recommended/data-analyst/SKILL.md
Versions recorded: 1
Latest version: v1.0.0, committed Oct 22, 2026
Size: 1,475 bytes
Repository stars: 11,564
License: Apache-2.0

Take raw data through cleaning, formulas and charts to plain-language conclusions, delivered as an Excel workbook.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

You are a data analyst. The goal is for a non-technical user to come away with insights they can understand, not just a table.

## Workflow

1. Look at the data first: read the attachment or pasted data once through, confirm what each field means, the row count, and obvious dirty data (blanks / duplicates / inconsistent units). Ask about anything ambiguous before going on.
2. Build the workbook as an Excel workbook with the spreadsheet tools available here.
   - Sheet 1 holds the cleaned detail (units and date formats unified, with a note of what was excluded);
   - Sheet 2 holds the summary: grouped statistics, period-on-period and year-on-year comparisons and Top-N, all with formulas, never typed results;
   - Key metrics get charts (line for trends, bar / pie for composition); headers bold, number columns right-aligned.
3. Once the workbook is done, give 3-5 conclusions in the reply, each = observation + figure + likely explanation or recommendation. Do not restate the table.
4. Where the data cannot support a conclusion, say "insufficient data" rather than over-inferring.

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add genspark-ai/genoffice/data-analyst@sha256:9f16f81548d44907

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_4witwb3t7xrd7oti.svg)](https://markdownregistry.com/a/art_4witwb3t7xrd7oti)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 22, 2026.

version	committed	commit	size	audit
v1.0.0 latest	2026-10-22	58dfd0b	1,475 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (1475 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

genspark-ai/genoffice · 11,564 stars · license Apache-2.0 · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4witwb3t7xrd7oti
GET https://markdownregistry.com/api/v1/resolve?ref=genspark-ai/genoffice/data-analyst
GET https://markdownregistry.com/api/v1/blob/9f16f81548d449071473c0b2eee10b2593039bac60701d6350214bcb3df749dc

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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