Reporting
by pluginagentmarketplace
Automated reporting and business intelligence delivery
Skill Details
Repository Files
6 files in this skill directory
name: reporting description: Automated reporting and business intelligence delivery version: "2.0.0" sasmp_version: "2.0.0" bonded_agent: 08-data-storytelling bond_type: PRIMARY_BOND
Skill Configuration
config: atomic: true retry_enabled: true max_retries: 3 backoff_strategy: exponential
Parameter Validation
parameters: report_type: type: string required: true enum: [executive, operational, analytical, ad_hoc] default: operational delivery_method: type: string required: false enum: [email, dashboard, pdf, presentation] default: dashboard
Observability
observability: logging_level: info metrics: [report_views, delivery_success, engagement_rate]
Reporting Skill
Overview
Master automated reporting and business intelligence delivery for effective communication.
Topics Covered
- Automated report generation
- Scheduled report delivery
- KPI dashboards and metrics
- Executive summary writing
- Report templates and standards
Learning Outcomes
- Build automated reports
- Create executive summaries
- Design KPI dashboards
- Deliver insights effectively
Error Handling
| Error Type | Cause | Recovery |
|---|---|---|
| Delivery failed | Email/system error | Retry with backup method |
| Data stale | Refresh failed | Show last refresh timestamp |
| Format broken | Template issue | Validate template before send |
| Access denied | Permission error | Verify distribution list access |
Related Skills
- visualization (for dashboard design)
- career (for executive communication)
- business-intelligence (for enterprise platforms)
Related Skills
Attack Tree Construction
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Grafana Dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
Matplotlib
Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
Scientific Visualization
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
Seaborn
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
Shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model
Pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Query Writing
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
Pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Scientific Visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
