validate-implementation-plan

Overview

A Claude Code skill that audits AI-generated implementation plans for quality and completeness before coding begins. It checks requirements traceability, YAGNI compliance, and assumption risks, using expert personas to annotate plans inline with severity-leveled findings.

Key Features

• Requirements Traceability - Verifies that every requirement from the original specification is addressed in the implementation plan
• YAGNI Compliance Check - Identifies features or components in the plan that go beyond stated requirements and flags unnecessary complexity
• Assumption Risk Analysis - Surfaces implicit assumptions in the plan that could lead to incorrect implementations or missed edge cases
• Expert Persona Annotations - Uses multiple expert perspectives to annotate plans with inline findings at different severity levels
• Pre-Coding Validation - Catches plan-level issues before any code is written, saving significant rework effort

Who is this for?

This skill is valuable for development teams that use AI to generate implementation plans and want a structured review before committing to code. It is especially useful for tech leads and senior engineers who want to ensure AI-generated plans meet requirements completely and do not introduce unnecessary scope or risky assumptions.