Reporting et dashboardssource GitHub
Génération de rapports (dataset)
/reportGénérer un rapport d'analyse complet pour l'ensemble de données `$1` avec le type de rapport `$2` dans le format `$3` en utilisant le sous-agent repor
// contenu du skill
allowed-tools: Task, Read, Write, Bash, Grep, Glob
argument-hint: [dataset] [report_type] [format]
description: Generate comprehensive analysis reports for specified dataset
Report Generation Command
Generate comprehensive analysis report for dataset $1 with report type $2 in $3 format using the report-writer subagent.
Context
- Dataset location: @data_storage/$1
- Report type: $2 (summary, complete, executive, technical, custom)
- Output format: $3 (markdown, html, pdf, json, docx)
- Current working directory: !
pwd - Output directory: ./analysis_reports/
- Available templates and formatting options
Your Task
Use the report-writer subagent to create professional, comprehensive analysis reports:
1. Report Planning
- Determine appropriate report structure based on type and audience
- Gather all relevant analysis results and visualizations
- Plan narrative flow and storytelling approach
- Select appropriate level of technical detail
2. Content Generation
- Write compelling executive summary (for executive reports)
- Create detailed methodology sections (for technical reports)
- Present key findings with supporting evidence
- Include data visualizations with explanations
- Provide actionable recommendations
3. Quality Assurance
- Verify accuracy of all statistics and claims
- Ensure logical consistency throughout the report
- Check for clarity and readability
- Validate proper citation of sources and methods
4. Format and Deliver
- Apply appropriate formatting for the selected output format
- Create professional document structure
- Add necessary metadata and references
- Generate final deliverable files
Report Types
Summary Report
- Brief overview of key findings
- Essential statistics and insights
- High-level recommendations
- 1-2 pages in length
Complete Report
- Comprehensive analysis documentation
- Detailed methodology and results
- Full statistical analysis
- Extensive visualizations and explanations
- Technical appendices and references
Executive Report
- Business-focused summary
- Key performance indicators
- Strategic recommendations
- Action items and implementation roadmap
- Financial impact assessment
Technical Report
- Detailed methodology documentation
- Statistical analysis results
- Technical appendices
- Code and algorithm documentation
- Peer-review ready format
Custom Report
- User-defined structure and content
- Tailored to specific requirements
- Flexible formatting options
- Custom sections and emphasis
Output Formats
Markdown (md)
- Web-friendly format
- Version control friendly
- Easy to convert to other formats
- Good for documentation and collaboration
HTML (html)
- Interactive web format
- Embedded visualizations
- Responsive design
- Web browser accessible
PDF (pdf)
- Professional print format
- Fixed layout
- High-quality output
- Distribution ready
JSON (json)
- Structured data format
- Machine readable
- API friendly
- Integration ready
DOCX (docx)
- Microsoft Word format
- Business standard
- Editable format
- Corporate ready
Expected Output
Report Files
analysis_reports/$1_$2_report.$3- Main report fileanalysis_reports/$1_appendix.$3- Technical appendixanalysis_reports/$1_visualizations.$3- Visualization compilationanalysis_reports/$1_metadata.json- Report metadata
Content Structure
- Title Page: Report title, author, date, version
- Executive Summary: Key findings and recommendations
- Introduction: Background and objectives
- Methodology: Analysis approach and methods
- Results: Detailed findings and statistics
- Discussion: Interpretation and implications
- Conclusions: Summary and next steps
- References: Sources and citations
- Appendices: Technical details and supplementary material
Quality Standards
Content Quality
- Accuracy: All statistics and claims must be verified
- Clarity: Clear, concise, and understandable language
- Completeness: Cover all important aspects of the analysis
- Relevance: Focus on audience-relevant information
- Objectivity: Balanced and unbiased presentation
Technical Quality
- Statistical Validity: Proper statistical methods and interpretation
- Methodological Rigor: Sound analysis methodology
- Data Integrity: Accurate representation of data
- Reproducibility: Sufficient detail for reproduction
- Documentation: Comprehensive documentation of methods
Presentation Quality
- Professional Formatting: Industry-standard formatting
- Visual Integration: Seamless integration of visualizations
- Readability: Clear typography and layout
- Accessibility: Accessible design and content
- Consistency: Consistent styling throughout
Report Templates
Executive Summary Template
markdown
# Executive Summary: $1 Analysis
## Key Findings
- **Primary Insight**: [Key statistical finding]
- **Business// source originale publique
liangdabiao/claude-data-analysis/.claude/commands/report.md
Licence : Licence non indiquée. Consultez le dépôt avant toute réutilisation.
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.