A professional AI-driven assessment tool that identifies, scores, and creates remediation roadmaps for technical debt across engineering organizations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-tech-debt-audit
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 afrexai-tech-debt-audit 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 Technical Debt Audit?
Technical Debt Audit is a strategic framework designed for engineering teams to gain visibility into the hidden costs of their codebase. By leveraging this tool within your Openclaw Skills library, developers and CTOs can move beyond anecdotal evidence of system issues toward a data-driven understanding of architecture, code quality, and infrastructure health. The skill translates complex technical bottlenecks into business impact metrics, allowing teams to justify refactoring efforts through clear cost modeling and risk assessment.
This skill is particularly valuable for scaling organizations where velocity drag often goes unmeasured. By categorizing debt into specific domains—such as dependency management, testing coverage, and documentation—it provides a holistic view of the engineering landscape, ensuring that technical paydown is treated as a first-class citizen in the development lifecycle.
Technical Debt Audit Use Cases
- Assessing legacy monolithic APIs to identify tight coupling and architecture drag.
- Calculating the financial impact and security risks of outdated dependencies and EOL frameworks.
- Auditing infrastructure for manual deployment bottlenecks and missing monitoring systems.
- Quantifying the onboarding overhead caused by tribal knowledge and lack of documentation.
- Justifying refactoring sprints to executive stakeholders using debt-to-velocity ratios.
How Technical Debt Audit Works
- Provide the agent with details regarding your system architecture, technology stack, team size, and known pain points.
- The skill initiates the discovery phase, categorizing issues into architecture, code quality, dependencies, testing, and infrastructure.
- Every identified debt item is processed through a weighted scoring formula: (Risk × 3) + (Business Impact × 2) + (1/Effort × 1).
- The agent calculates carrying costs, estimating the percentage of velocity lost to maintenance and bug-fix overhead.
- A comprehensive Technical Debt Audit Report is generated, featuring an executive summary, prioritized fix lists, and a multi-phase remediation roadmap.
Technical Debt Audit Setup
To begin using Technical Debt Audit in your Openclaw Skills workflow, provide a detailed description of your codebase environment to the AI agent:
# Example of initiating an audit via prompt
"Audit our technical debt. We are a Node.js/React SaaS with 180K LOC and 12 engineers. Known issues: monolithic API, no integration tests, 3 deprecated dependencies, manual deployments."
Technical Debt Audit Data Schema & Taxonomy
The skill structures its audit data based on specific impact metrics and debt categories to ensure actionable results:
| Data Point | Details |
|---|---|
| Scoring Logic | Weighted Priority Score based on Risk, Impact, and Effort |
| Categories | Architecture, Code Quality, Dependencies, Testing, Infrastructure, Documentation |
| Carrying Cost | Estimated velocity drag (e.g., 15-25% for Architecture) |
| Roadmap | Tiered timeline (Quick Wins, 30 Days, Next Quarter, Strategic) |
Technical Debt Audit Advanced Features
- Executive-ready reporting including debt-to-velocity ratios and projected savings.
- Automated cost modeling that translates developer-hours into dollar-value carrying costs.
- Intelligent prioritization that surfaces high-risk, low-effort 'Quick Wins' for immediate impact.
- Systematic categorization of tribal knowledge gaps and documentation debt.
- Multi-phase remediation planning integrated into your standard Openclaw Skills engineering workflow.
SKILL.md
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