Gap Analysis

This is a structured framework for comparing where you are versus where you need to be across eight capability areas: business functions, processes, technology, skills, data, people, organization, and metrics. You'd use it during strategic planning, tech modernization, or before kicking off any improvement initiative. The source includes a Python implementation with gap identification logic and four reference guides covering identification, templating, closure planning, and tracking. The best practices are solid reminders about involving stakeholders and prioritizing by value, though the framework itself is fairly standard consulting methodology. Most useful when you need to document the "why" behind transformation work or justify investment decisions to leadership.

skills.sh installs: 531
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill gap-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Overview

Gap analysis systematically compares current capabilities with desired future state, revealing what needs to change and what investments are required.

When to Use

Strategic planning and goal setting
Technology modernization assessment
Process improvement initiatives
Skills and training planning
System evaluation and selection
Organizational change planning
Capability building programs

Quick Start

Minimal working example:

# Systematic gap identification

class GapAnalysis:
    GAP_CATEGORIES = {
        'Business Capability': 'Functions organization can perform',
        'Process': 'How work gets done',
        'Technology': 'Tools and systems available',
        'Skills': 'Knowledge and expertise',
        'Data': 'Information available',
        'People/Culture': 'Team composition and mindset',
        'Organization': 'Structure and roles',
        'Metrics': 'Ability to measure performance'
    }

SKILL.md on GitHub