# Index

Route broad Data Analytics requests to the appropriate quantitative analysis...

- Repository: https://github.com/XiaomiMiMo/MiMo-Code (13741 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add XiaomiMiMo/MiMo-Code --skill index -g -a claude-code -y`
Codex: `npx skills add XiaomiMiMo/MiMo-Code --skill index -g -a codex -y`
Cursor: `npx skills add XiaomiMiMo/MiMo-Code --skill index -g -a cursor -y`
Gemini CLI: `npx skills add XiaomiMiMo/MiMo-Code --skill index -g -a gemini-cli -y`

## Description

Route broad Data Analytics requests to the appropriate quantitative analysis, visualization, dashboard, report, notebook, KPI, market-sizing, validation, or semantic-layer workflow.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Data Analytics Router

Use this workflow when Data Analytics is explicitly invoked or the request requires structured records, quantitative evidence, metrics, or an evidence-backed product or business decision. Do not use it for ordinary prose drafting, file-format conversion, or qualitative description that does not require data interpretation.

## Choose the focused workflow

- Metric changed, missed a target, or differs from expectation: read `../metric-diagnostics/SKILL.md`.
- Product or business decision, prioritization, segmentation, launch, or experiment recommendation: read `../product-business-analysis/SKILL.md`.
- Dataset, dashboard, source, join, freshness, grain, or metric trust question: read `../analyze-data-quality/SKILL.md`.
- KPI framework, canonical definition, target, driver, or guardrail design: read `../design-kpis/SKILL.md`.
- KPI status update, WBR, MBR, QBR, or operating readout: read `../kpi-reporting/SKILL.md`.
- Dashboard or monitoring view: read `../build-dashboard/SKILL.md`.
- Durable analytical report: read `../build-report/SKILL.md`.
- Chart or quantitative figure: read `../visualize-data/SKILL.md`.
- Reproducible SQL/Python notebook: read `../jupyter-notebooks/SKILL.md`.
- TAM, SAM, SOM, segment, or opportunity sizing: read `../market-sizing/SKILL.md`.
- Review an analysis before sharing: read `../validate-data/SKILL.md`.
- Create, repair, or save reusable data context or a semantic layer: read `../create-data-context/SKILL.md`.
- Missing business definitions, ownership, change context, or decision framing: read `../gather-business-context/SKILL.md` before the primary workflow.

Load every selected workflow completely. Follow its related-skill rules when applicable. A task can combine workflows; use this usual order:

1. Gather missing business context.
2. Validate source quality and metric definitions.
3. Perform the focused analysis.
4. Validate conclusions.
5. Visualize or create the requested durable artifact.

The rest: https://github.com/XiaomiMiMo/MiMo-Code/blob/HEAD/packages/cli/src/skill/builtin/.bundle/data-analytics/workflows/index/SKILL.md
