Agent skill · product strategy · datadrivenconstruction
digital-maturity-assessment
Assess organization's digital transformation readiness. Evaluate data culture, technology adoption, and process maturity.
Why this skill is useful
Provides a structured framework for assessing digital maturity that includes specific evaluation criteria and actionable recommendations.
What it needs
Requires python3 installed locally. About 6k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Digital Maturity Assessment Business Case Problem Statement Digital transformation challenges: Unclear current state of digitalization Difficulty prioritizing investments Lack of benchmarking capability No roadmap for improvement Solution Comprehensive digital maturity assessment framework to evaluate technology adoption, data culture, and process maturity with actionable recommendations. Technical Implementation `python import pandas as pd from typing import Dict, Any, List, Optional from dataclasses import dataclass, field from datetime import datetime from enum import Enum class MaturityLevel(Enum): INITIAL = 1 # Ad-hoc, reactive DEVELOPING = 2 # Some processes defined DEFINED = 3 # Standardized processes MANAGED = 4 # Measured and controlled OPTIMIZING = 5 # Continuous improvement class AssessmentDimension(Enum): STRATEGY = "strategy" TECHNOLOGY = "technology" DATA = "data" PROCESSES = "processes" PEOPLE = "people" CULTURE = "culture" class SubDimension(Enum): # Strategy DIGITALVISION = "digitalvision" LEADERSHIP = "leadership" INVESTMENT = "investment" # Technology INFRASTRUCTURE = "infrastructure" SYSTEMSINTEGRATION = "systemsintegration" AUTOMATION = "automation" # Data DATAQUALITY = "dataquality" DATAGOVERNANCE = "datagovernance" ANALYTICS = "analytics" # Processes STANDARDIZATION = "standardization" DIGITIZATION = "digitization" OPTIMIZATION = "optimization" # People SKILLS = "skills" TRAINING = "training" ADOPTION = "adoption" # Culture INNOVATION = "innovation" COLLABORATION = "collaboration" CHANGEREADINESS = "changereadiness" @dataclass class AssessmentQuestion: questionid: str dimension: AssessmentDimension subdimension: SubDimension question: str leveldescriptions: Dict[int, str] weight: float = 1.0 @dataclass class Response: questionid: str score: int # 1-5 notes: str = "" @dataclass class DimensionScore: dimension: AssessmentDimension score: float level: MaturityLevel subscores: Dict[str, float] gaps: List[str] recommendations: List[str] class Digit …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/digital-maturity-assessment