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Report Generator

Verified

Transforms raw data and analysis into polished, structured reports in Markdown, HTML, or PDF format with executive summaries and visualizations.

By Anthropic 8,200 v1.4.0 Updated 2026-03-10

Install

Claude Code

Copy the SKILL.md file to your project's .claude/skills/ directory

About This Skill

Report Generator bridges the gap between data analysis and business communication. It transforms numbers, metrics, and findings into reports that stakeholders actually read and act on.

Report Structure Intelligence

The skill adapts its structure to the report type:

Executive Reports - **TL;DR summary** — 3-5 bullet points with key numbers and trend direction - **Highlights and lowlights** — what exceeded and missed targets - **Period-over-period comparisons** with trend indicators (↑↓→) - **Key risks and recommended actions**

Technical Analysis Reports - Methodology section with data sources and caveats - Detailed findings with supporting data tables - Statistical confidence where applicable - Appendix with raw data summary

Status Reports - RAG (Red/Amber/Green) status indicators per workstream - Milestone tracking with completion percentages - Blockers and dependencies clearly called out

Visualization Code

  • Generates matplotlib/seaborn Python code for:
  • Line charts for time series trends
  • Bar charts for categorical comparisons
  • Scatter plots with regression lines
  • Heatmaps for correlation matrices

Output Formats

  • Markdown — portable, version-controllable
  • HTML — styled with embedded CSS, charts as inline SVG
  • Python script — generates the full report programmatically for automation
  • DOCX template — via python-docx with heading styles and tables

Template Library

Includes 8 pre-built report templates: Weekly Business Review, Monthly P&L, Sprint Retrospective, Competitive Analysis, A/B Test Results, NPS Summary, Incident Post-Mortem, and Grant Progress Report.

Use Cases

  • Generating weekly business metrics reports from database exports
  • Creating investor update reports from financial data
  • Producing automated status reports for recurring projects
  • Building competitive analysis reports from collected research data

Pros & Cons

Pros

  • + Adapts structure to report type — executive vs technical vs status
  • + 8 pre-built templates for common business report types
  • + Visualization code generated alongside narrative
  • + Multiple output formats for different audiences and workflows

Cons

  • - Complex interactive dashboards require a separate visualization tool (Metabase, Grafana)
  • - DOCX output requires python-docx installed in the environment

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