Ceo Briefing
by maneeshanif
Generates executive business briefings, weekly audits, and strategic reports. Use when creating Monday Morning CEO Briefings, business summaries, performance reports, or strategic analysis.
Skill Details
Repository Files
4 files in this skill directory
name: ceo-briefing description: Generates executive business briefings, weekly audits, and strategic reports. Use when creating Monday Morning CEO Briefings, business summaries, performance reports, or strategic analysis. allowed-tools: Read, Write, Edit, Glob, Grep
CEO Briefing Skill
This skill generates comprehensive executive briefings that transform raw business data into actionable intelligence for the Personal AI Employee.
Briefing Types
| Type | Frequency | Generated | Delivered |
|---|---|---|---|
| Weekly CEO Briefing | Sunday night | 10 PM | Monday 8 AM |
| Monthly Business Review | End of month | Last day | 1st of month |
| Quarterly Strategic Summary | End of quarter | Last week | Q+1 Week 1 |
| Ad-hoc Analysis | On demand | Immediate | Immediate |
Briefing Structure
# [Period] CEO Briefing
## Executive Summary
[2-3 sentence high-level overview]
## Revenue & Financial Health
- This Period: $X,XXX
- Period-to-Date: $X,XXX (XX% of target)
- Trend: [On track | Ahead | Behind]
## Completed Objectives
- [x] [Accomplishment 1]
- [x] [Accomplishment 2]
## Bottlenecks & Risks
| Issue | Impact | Suggested Action |
|-------|--------|------------------|
## Proactive Suggestions
### Cost Optimization
### Growth Opportunities
### Upcoming Deadlines
## Key Metrics Dashboard
| Metric | Target | Actual | Status |
|--------|--------|--------|--------|
Data Sources
/Accounting/- Financial data/Tasks/Done/- Completed workBusiness_Goals.md- TargetsDashboard.md- Current status
Reference
For detailed templates, see reference.md
For example briefings, see examples.md
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.
