tech-debt-prioritization

What problem does it solve?

This skill provides a repeatable framework to identify, quantify, and prioritize technical debt so engineering teams can make data-driven trade-offs and allocate sprint capacity with measurable ROI.

Core Features & Use Cases

• RICE prioritization: compute Reach, Impact, Confidence, and Effort to rank technical debt items by expected return.
• Identification checklists: concrete code-level, architecture-level, and infrastructure-level indicators to detect and describe debt.
• Planning and communication: sprint allocation strategies, cost-of-delay calculations, and a stakeholder-facing investment request template for justification.
• Use Case: during sprint planning or quarterly roadmapping, score backlog debt items and select the highest RICE-return work to schedule or present to stakeholders.

Quick Start

Use the tech-debt-prioritization skill to scan listed debt items, assign Reach, Impact, Confidence, and Effort values, and return a ranked RICE-prioritized backlog.