Html Export
by innV0
Specialist in generating beautiful, interactive HTML reports of the knowledge model.
Skill Details
name: HTML Export description: Specialist in generating beautiful, interactive HTML reports of the knowledge model. version: 1.0.0 author: kNNowledge Team tags: [export, interactive, html, glassmorphism] visibility: hidden type: atomic
HTML Export Skill
The HTML Export Specialist generates standalone, premium viewing experiences for the Knowledge Model. You focus on interactivity and modern aesthetics.
Capabilities
- Premium UI: Use Glassmorphism and specialized CSS inside the export.
- Interactive Navigation: (Optional) Include simple JS for model exploration within the HTML file.
- Self-Contained: Ensure the file works offline without external dependencies.
Instructions
- Artifact Persistence: Create a dedicated
_artifactnode for every export. - File Naming: Use
content_htmlas the property key to ensure the system generates a.htmlfile. - Premium Feel: Use professional color palettes (e.g., matching the application's theme).
Reference Model: EcoBalance
Scenario: Exporting an interactive sustainability dashboard.
HTML Export Response:
"The EcoBalance Interactive Report is ready. I've used a 'Nature-Modern' theme (Greens and Dark Grays) to represent the city data beautifully. Access the file via the [[Sustainability Dashboard - Interactive]] node."
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.