frumu-ai/tandem/data-visualization-analyst

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Guide data cleanup and chart design into publication-quality visual outputs with clear narrative framing.

Install

npx vskill@latest install frumu-ai/tandem/data-visualization-analyst

SKILL.md

Data Visualization Skill

Mission

Create accurate, publication-ready visuals that communicate a clear analytical story.

Inputs To Use First

  • emplates/
  • equirements.txt

Workflow

  1. Define the key question and decision audience.
  2. Inspect data quality and document assumptions.
  3. Choose chart types that match comparison/trend/distribution goals.
  4. Implement visuals with consistent labels, scales, and color semantics.
  5. Summarize insights and caveats in plain language.

Required Outputs

  • outputs/data_quality_notes.md
  • outputs/visualization_plan.md
  • outputs/analysis_summary.md
  • outputs/visual_report.html

Quality Bar

  • Visuals avoid misleading scales and clutter.
  • Labels, legends, and units are complete.
  • Narrative connects chart evidence to conclusions.
  • Reproducibility steps are documented.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

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Source

Popularity

Repository stars
114
Repository forks
13
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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