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name: data-analysis-skill description: | Multi-expert parallel analysis workflow that selects 3-5 domain expert subagents to analyze datasets in parallel, synthesizes findings into interactive HTML reports with charts, and exports to PowerPoint one-click. Requires Python packages: pandas, openpyxl, tabulate, chardet. triggers:

• "data analysis skill"
• "parallel data analysis"
• "dongzhang84"
• "data HTML report"
• "data to PowerPoint" das: type: skill category: data-visualization upstream: "https://github.com/dongzhang84/data-analysis-skill" upstream_path: "SKILL.md" version: latest install: true

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data-analysis-skill

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

Decision tree

1. Is the full skill already installed? Check whether the skill at this location still has a das: block:

   • Global: grep -q "^das:" ~/.agents/skills/data-analysis-skill/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"
   • Project: grep -q "^das:" .agents/skills/data-analysis-skill/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"
   • No das: block → full skill installed, invoke it and proceed
   • das: block present → go to step 2

2. Detect scope, then install:

   To detect scope:

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

   Global (installed with -g):

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

   Project (installed without -g):

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

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

Invoke after install

Skill name: data-analysis-skill, triggers: "data analysis skill", "parallel data analysis", "dongzhang84", "data HTML report", "data to PowerPoint"

What it does

Orchestrates a panel of 3-5 domain-specific expert subagents that analyze a dataset in parallel, each contributing a distinct analytical perspective. Results are synthesized into a single interactive HTML report with embedded charts. One-click PowerPoint export is available for presentation delivery. Requires Python environment with pandas, openpyxl, tabulate, and chardet installed.

When NOT to use

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