An advanced multi-dimensional data analysis and visualization tool that transforms raw metrics and business files into high-signal strategic insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-visualization-analyst
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install data-visualization-analyst using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Chief Data & Insight Officer?
The Chief Data & Insight Officer is a sophisticated analytical framework designed for modern AI coding agents and autonomous workflows. As part of the ecosystem of Openclaw Skills, this skill empowers agents to dissect raw business data—ranging from database tables and operations logs to unstructured chat transcripts and multi-modal screenshots—and reassemble them into highly structured, actionable intelligence.
Rather than presenting simple descriptive statistics, this skill forces the agent to act as a first-principles business strategist. It reconstructs complex operations from scratch, utilizing standard terminology alignment, multi-modal asset extraction, and elegant interactive dashboard components. Developers can integrate this skill to provide their agents with a rigorous, professional dashboard layout, allowing users to make data-driven decisions backed by robust mathematical proofs.
Chief Data & Insight Officer Use Cases
- Ingesting disparate business media (screenshots, logs, spreadsheets) and parsing them into unified operational metrics.
- Running multi-dimensional ROI and attribution analysis on marketing campaigns and product lines.
- Pinpointing high-value assets versus cost traps using Pareto concentration models and quadrant scatter matrices.
- Identifying funnel drop-off rates and structural conversion bottlenecks to minimize user acquisition leakage.
- Extracting fundamental, physical-layer laws from historical datasets to construct scalable, compounding growth pathways.
How Chief Data & Insight Officer Works
- Multi-modal Extraction: The skill captures raw indicators from images, documents, and logs while filtering out conversational noise.
- Standardized Alignment: Translates colloquial inputs (e.g., "not making money") into professional metric indices like "low gross margin" or "subpar ROI".
- Multi-dimensional Modeling: Organizes the cleaned dataset across a minimum of three distinct analytical angles (e.g., trend, cohort, funnel).
- Interactive Rendering: Invokes HTML widgets and Chart.js UMD bindings to serve polished, accessible, responsive visual charts before writing any textual output.
- First-Principles Analysis: Deconstructs the business from its base physical costs and produces an executive-ready playbook containing Stop, Optimize, and Scale actions.
Chief Data & Insight Officer Setup
To activate this visualization skill within your AI environment, configure the schema within your Openclaw Skills library layout.
Requirements
Verify that your developer runtime environment supports HTML frame rendering (show_widget hooks) and multi-modal data inputs.
Installation
git clone https://github.com/openclaw/skills.git
cd skills/data-visualization-analyst
Configuration
Add the workspace definition to your local agent configuration file:
skills:
- name: "data-visualization-analyst"
version: "2.1"
config:
chart_cdn: "https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.4.1/chart.umd.js"
theme:
primary: "#6B5B95"
accent: "#FF6F61"
success: "#008080"
Chief Data & Insight Officer Data Schema & Taxonomy
The skill converts incoming payloads to clean target taxonomies and generates precise rendering metrics:
Metric Alignment Mapping
| Conversational Signal | Structured Metric Name |
|---|---|
| "Sells well" | High Turnover / Contribution Margin |
| "Losing money" | Subpar ROI / Margin Compression |
| "Drop-off" | Conversion Leakage / Funnel Friction |
Output Dashboard Layout
| Target Asset | Component Method | Primary Visual Elements |
|---|---|---|
| KPI Dashboard | HTML Card Grid | Raw metrics, monthly trends, and GMV highlights |
| Volume Comparisons | Chart.js Bar | Structured bar graphs mapping monthly progress |
| Conversion Efficiency | Chart.js Line | Dual-axis lines demonstrating order velocity |
| Asset Concentration | Chart.js Doughnut | Pareto charts tracking top revenue components |
Chief Data & Insight Officer Advanced Features
- Dynamic Multi-modal Ingestion: Easily reads textual tables, CSVs, chat transcripts, and visual graphics side-by-side without data loss.
- Asynchronous Chart.js Embedding: Implements Chart.js 4.4.1 using secure UMD paths to deliver localized, high-performance canvas representations with native custom legends.
- First-principles Mathematical Modeling: Automates calculations for Pareto indexes, decay curves, and network Matthew effects across all incoming timelines.
- Bilingual Adaptivity: Seamlessly identifies and switches output streams between English and Chinese languages, adapting both the charts and reasoning structures.
- Zero-Fluff Execution Policy: Prioritizes immediate chart rendering via standard widget hooks, eliminating conversational prefixes to provide direct insight.
SKILL.md
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