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podopodo/design-agent-skills/skills/data-analysis-skill/SKILL.md

data-analysis-skill

Skill32 starsChanged 6 months agoMITView on GitHub

Multi-expert parallel analysis workflow that selects domain expert subagents to analyze datasets in parallel, synthesizes findings into interactive HTML reports with charts, and exports to PowerPoint on request. Requires Python packages: pandas, openpyxl, tabulate, chardet.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When Python dependencies cannot be installed in the environment

    line 72

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

data-analysis-skill

Catalogue stub — full skill: dongzhang84/data-analysis-skill

<!-- das:install:start — generated from stub.yaml by `npm run generate`; edit stub.yaml, not this block -->

Decision tree

  1. Is the full skill already installed? Upstream names this skill data-analysis-pro, so it installs next to this pointer (the pointer is not replaced).
    • Global: f=~/.agents/skills/data-analysis-pro/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • Project: f=.agents/skills/data-analysis-pro/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • installed → the skill is installed as data-analysis-pro, invoke it and proceed
    • pointer → go to step 2

  2. Detect scope, then install:

    [ -e ~/.agents/skills/data-analysis-skill ] && echo "global" || echo "project"

    Global:

    npx skills add dongzhang84/data-analysis-skill --skill data-analysis-pro -g -y

    Project:

    npx skills add dongzhang84/data-analysis-skill --skill data-analysis-pro -y

    Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Heads-up

  • Requires: Python 3.8+ with pandas, openpyxl, tabulate and chardet (the bundled scripts auto-install missing packages with pip on first run)
  • License: MIT
<!-- das:install:end -->

Invoke after install

  • Skill name: data-analysis-pro
  • Trigger phrases: "data analysis skill", "parallel data analysis", "dongzhang84", "data HTML report", "data to PowerPoint"

What it does

End-to-end data analysis assistant for Excel/CSV analysis, business-metrics review, ROI calculation, formula writing, and data visualization. For deeper questions it runs a multi-expert analysis: it selects a panel of domain-expert roles, runs each as a parallel subagent so every expert analyses the dataset from a distinct angle, and synthesizes the results into a single interactive HTML report with embedded charts. PowerPoint export (HTML to PPTX) is available when the user asks for slides. Needs a Python environment with pandas, openpyxl, tabulate, and chardet; the bundled scripts install missing packages on first run.

When NOT to use

  • Single-chart generation — use d3js-skill, claud3 or data-viz-agent instead
  • Real-time streaming data dashboards
  • When Python dependencies cannot be installed in the environment

Download now (ZIP)

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