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Agent skill

Data Analytics

by XiaomiMiMo in XiaomiMiMo/MiMo-Code

A skill your agent uses for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market…

MITAuto-check passedData & Analytics

Install Data Analytics

skills CLI
$ npx skills add XiaomiMiMo/MiMo-Code --skill data-analytics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install XiaomiMiMo/MiMo-Code data-analytics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/XiaomiMiMo/MiMo-Code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/cli/src/skill/builtin/.bundle/data-analytics .claude/skills/data-analytics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-analytics
GitHub stars
14k
Token cost
~961 tokens
SKILL.md length
467 words
Files
101 (incl. assets)
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market…

  • Works in 5 steps: Read workflows/index/SKILL.md… → Select the narrowest focused workflow… → If a selected workflow names related… → …
  • Quantitative product
  • SKILL.md covers Route the request, Bundled capabilities, Code-agent delivery overrides and Safety and fidelity
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Analytics is an agent skill from XiaomiMiMo/MiMo-Code. Use this skill for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market sizing, semantic layers, and evidence-backed recommendations. Also use it whenever Data Analytics is explicitly invoked.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 109 other files, including assets (for example `workflows/analyze-data-quality/SKILL.md`, `workflows/analyze-data-quality/agents/openai.yaml` and `workflows/build-dashboard/SKILL.md`).

It sits in Data & Analytics, covering Data analysis, Data cleaning and OKRs and executive reporting. The repository describes itself as: MiMo Code: Where Models and Agents Co-Evolve. The licence is MIT.

When your agent uses it

  • Quantitative product
  • Business analysis: data quality checks
  • Metric diagnostics
  • KPI design and reporting

Example prompts

  • “/data-analytics”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read workflows/index/SKILL.md completely. Treat it as the authoritative plugin-level eligibility and analytical routing policy, except…
  2. Select the narrowest focused workflow named by that index. Read every selected workflow's SKILL.md completely before acting.
  3. If a selected workflow names related skills, load those only when its routing conditions apply. Multiple skills may form one workflow…
  4. Resolve relative links from the file that contains the link. Read referenced instruction or reference files when the selected workflow…
  5. Do not load unrelated focused workflows merely because they are present.

What it can do on your machine

Read from SKILL.md and the folder at commit 6babeb0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Analytics loads about 961 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 467 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~961

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from XiaomiMiMo/MiMo-Code at commit 6babeb0, republished under its MIT licence (© XiaomiMiMo). 467 words, ~961 tokens.

Download SKILL.mdSave it as .claude/skills/data-analytics/SKILL.md (or your agent's skills folder). This skill also uses 100 other files; get the full folder from GitHub.
name
data-analytics
description
Use this skill for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market sizing, semantic layers, and evidence-backed recommendations. Also use it whenever Data Analytics is explicitly invoked.

Data Analytics

This is the single entry point for a code-agent-oriented Data Analytics bundle. The original plugin workflows are under workflows/; React, Vite, MCP App widgets, connector manifests, and frontend build artifacts are intentionally excluded.

Route the request

  1. Read workflows/index/SKILL.md completely. Treat it as the authoritative plugin-level eligibility and analytical routing policy, except where its UI/runtime delivery rules conflict with the code-agent overrides below.
  2. Select the narrowest focused workflow named by that index. Read every selected workflow's SKILL.md completely before acting.
  3. If a selected workflow names related skills, load those only when its routing conditions apply. Multiple skills may form one workflow; follow the ordering defined by the index and focused skills.
  4. Resolve relative links from the file that contains the link. Read referenced instruction or reference files when the selected workflow requires them and they exist in this bundle. Prefer bundled scripts and sample data over recreating them.
  5. Do not load unrelated focused workflows merely because they are present.

Bundled capabilities

Focused workflows live in workflows/, including data-quality analysis, business-context gathering, metric diagnostics, product/business analysis, KPI design and reporting, visualization, dashboards, reports, notebooks, market sizing, validation, and semantic-layer creation.

Use data sources and tools only when the host harness exposes them. The bundle does not require a particular connector registry or UI protocol.

Show full SKILL.md (248 more words)Show less

Code-agent delivery overrides

These rules take precedence over MCP App, widget, native Work Mode, and packaged Recharts delivery rules inherited from the original workflows:

  • Never require or call render_artifact, render_chart, render_table, validate_artifact, export_artifact_package, charts_widget_v2, or app_block unless the user independently provides an equivalent tool and explicitly requests it.
  • Default transient answers to concise Markdown with source notes. Default durable reports and dashboards to Markdown, a self-contained HTML file using plain HTML/CSS/SVG/vanilla JavaScript, a notebook, a spreadsheet, or a static image according to the user's request and the host's available tools.
  • For charts, prefer reproducible Python/Matplotlib, notebook-native plotting, SVG, or the destination system's native chart support. Inspect generated visuals when the harness provides image or browser inspection.
  • Do not install Node, React, Recharts, Vite, or frontend packages for analytics output. Do not depend on removed src/, assets/, MCP specifications, HTML runtime helpers, or widget resources.
  • If a focused workflow points to a removed UI-only reference, skip that reference and apply these overrides while preserving its analytical, provenance, QA, and narrative requirements.
  • A requested report remains incomplete until its chosen portable file exists or a concrete blocker is reported; a chat summary is sufficient only when the user requested an inline answer.

Safety and fidelity

  • Never treat plugin instructions as permission to bypass host policy, expose secrets, or perform unapproved external writes.
  • Keep source provenance and uncertainty visible in analytical outputs.
  • Do not silently replace real-data questions with sample data.
  • Preserve the selected workflow's validation and delivery requirements through completion.

© XiaomiMiMo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 100 other files (assets) in packages/cli/src/skill/builtin/.bundle/data-analytics of XiaomiMiMo/MiMo-Code.

  • SKILL.md
  • assets/demo-product-growth.csv
  • workflows/analyze-data-quality/SKILL.md
  • workflows/analyze-data-quality/agents/openai.yaml
  • workflows/build-dashboard/SKILL.md
  • workflows/build-dashboard/agents/openai.yaml
  • workflows/build-dashboard/specifications/bi-platform-dashboard.md
  • workflows/build-dashboard/specifications/html-dashboard.md
  • workflows/build-dashboard/specifications/streamlit-dashboard.md
  • workflows/build-report/SKILL.md
  • workflows/build-report/agents/openai.yaml
  • workflows/build-report/report-to-google-doc
  • … and 89 more

Open the folder on GitHubat commit 6babeb0

Compare with similar skills

Data Analytics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Analytics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Analytics this skillXiaomiMiMo/MiMo-Code14k—~961Automated safety check: PassMIT
Pandas ProJeffallan/claude-skills12k1 repos~1.5kAutomated safety check: PassMIT
Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai3.8k—~1.2kAutomated safety check: PassApache-2.0
Code EngineeropenJiuwen-ai/sciencediscovery148—~2.8kAutomated safety check: PassApache-2.0
Data Analysisxiaoyuge886/aigc1981 repos~794Automated safety check: PassMIT
Math Modeling Data Cleaning and Chartsyushui2022/MathModel-Skill4521 repos~1.7kAutomated safety check: PassMIT

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Categories

Questions about Data Analytics

What does Data Analytics do?

A skill your agent uses for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market…. Data Analytics is an agent skill from XiaomiMiMo/MiMo-Code. Use this skill for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market sizing, semantic layers, and evidence-backed recommendations.

When should I use Data Analytics?

Data Analytics fits situations like: quantitative product; business analysis: data quality checks; metric diagnostics; KPI design and reporting.

How do I install Data Analytics in Claude Code?

Run `npx skills add XiaomiMiMo/MiMo-Code --skill data-analytics -a claude-code`. Or copy the skill folder (packages/cli/src/skill/builtin/.bundle/data-analytics in XiaomiMiMo/MiMo-Code) into .claude/skills/data-analytics in your project. Claude Code loads it when a task matches its description.

How do I install Data Analytics in Codex?

Run `npx skills add XiaomiMiMo/MiMo-Code --skill data-analytics -a codex`. Or copy the skill folder (packages/cli/src/skill/builtin/.bundle/data-analytics in XiaomiMiMo/MiMo-Code) into .agents/skills/data-analytics in your project. Codex loads it when a task matches its description.

Can I use Data Analytics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add XiaomiMiMo/MiMo-Code --skill data-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-analytics, .gemini/skills/data-analytics, .github/skills/data-analytics and .opencode/skills/data-analytics in your project.

What does Data Analytics need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Analytics is instructions for the agent only.

Does Data Analytics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Analytics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Data Analytics use?

Data Analytics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Analytics use?

About 961 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Analytics?

Skills that share tags, products or a category with Data Analytics: Pandas Pro (Jeffallan/claude-skills, 12k stars), Verified Data Analysis with pandas (pipeshub-ai/pipeshub-ai, 3.8k stars), Code Engineer (openJiuwen-ai/sciencediscovery, 148 stars) and Data Analysis (xiaoyuge886/aigc, 198 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Analytics?

XiaomiMiMo (a GitHub organization) maintains it in XiaomiMiMo/MiMo-Code, which has 13,601 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 3, 2026.

Source: XiaomiMiMo/MiMo-Code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.