npx skills add https://github.com/openclaw/skills
podo/design-agent-skills
data-analysis-skill
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.
Installation
npx skills add podo/design-agent-skills --skill data-analysis-skill
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More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Also listed on
Alternate registries and mirrors of this skill.
Repository health
main
Skill metadata
Parsed from SKILL.md frontmatter.
Package contents
Files included with this skill beyond the listing page.
-
skill md
SKILL.md2,611 B -
docs
SUMMARY.md304 B
History
- First seen on skills.sh
- First recorded snapshot · 90 installs
SKILL.md
data-analysis-skill
Catalogue stub — full skill: dongzhang84/data-analysis-skill
Decision tree
- 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
- Detect scope, then install:
To detect scope: ``bash [ -e ~/.agents/skills/data-analysis-skill ] && echo "global" || echo "project" ``
Global (installed with -g): ``bash npx skills add dongzhang84/data-analysis-skill --skill data-analysis-skill -g -y ``
Project (installed without -g): ``bash 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