A specialized technical skill for analyzing data evolution patterns and assessing the digital maturity of construction organizations based on DDC methodology.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-evolution-analysis
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-evolution-analysis 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 Data Evolution Analysis?
The Data Evolution Analysis skill is a robust diagnostic tool designed to evaluate how construction companies manage and evolve their technical data. As part of the Openclaw Skills library, this tool implements the Data-Driven Construction (DDC) methodology to categorize organizations into maturity levels ranging from manual paper-based processes to autonomous, predictive operations. It provides a standardized way to audit digital infrastructure across eight core industry domains including design, cost, and safety.
By utilizing this skill, developers and analysts can transform raw organizational data into a structured maturity profile. It allows for the identification of technical gaps and the creation of actionable digital transformation roadmaps. Integrating this logic into an agent workflow ensures that digital growth is measured accurately and consistently using the Openclaw Skills framework.
Data Evolution Analysis Use Cases
- Perform comprehensive digital maturity audits for construction firms using the Openclaw Skills methodology.
- Identify data silos and integration gaps within complex project management environments.
- Generate automated executive reports and multi-year digital transformation roadmaps.
- Track and visualize organizational progress over time through periodic assessments.
How Data Evolution Analysis Works
- The user inputs a system inventory and survey data into the Openclaw Skills assessment engine.
- The DataEvolutionAnalyzer processes the inventory to calculate integration and automation scores for each department.
- The system maps these scores against the DDC maturity levels, from basic digitization to predictive AI operations.
- Gaps and weaknesses are identified by comparing category scores against weighted benchmarks.
- The skill generates a structured MaturityAssessment object containing strengths, recommendations, and a phased roadmap.
Data Evolution Analysis Setup
To deploy this skill within your environment, ensure Python 3 is installed as specified in the Openclaw Skills requirements:
# Check python version
python3 --version
# Prepare the assessment environment
mkdir maturity-analysis
cd maturity-analysis
No additional external dependencies are required beyond the standard library components used in the assessment logic.
Data Evolution Analysis Data Schema & Taxonomy
The skill organizes data using a structured taxonomy to ensure consistency across Openclaw Skills assessments:
| Component | Type | Description |
|---|---|---|
| MaturityLevel | Enum | Defines 6 levels (0-5) of digital evolution. |
| DataCategory | Enum | Covers 8 domains: Design, Cost, Schedule, Quality, Safety, Procurement, Document, Communication. |
| DataFlowAssessment | Dataclass | Stores integration levels, automation scores, and specific flow issues per category. |
| MaturityAssessment | Dataclass | The final report object containing scores, recommendations, and the evolution roadmap. |
Data Evolution Analysis Advanced Features
- Historical tracking via DataEvolutionTracker to monitor how an organization progresses through the Openclaw Skills maturity levels.
- Automated milestone detection for identifying significant improvements in specific data categories.
- Multi-system integration scoring to evaluate the health of a Common Data Environment (CDE).
- Seamless interoperability with other modules in the Openclaw Skills ecosystem, such as data silo detection and ERP analysis tools.
SKILL.md
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