Project Drift Analysis

About

Drift Analysis is a specialized capability for Claude Code designed to perform 'reality checks' on software projects. By autonomously scanning GitHub issues, documentation files (like PLAN.md and README.md), and the actual codebase, it identifies where the implementation has diverged from the original intent. It categorizes discrepancies into plan, documentation, issue, and scope drift, then applies a weighted prioritization framework to generate an actionable reconstruction plan. This skill is essential for project maintainers who need to reconcile stale backlogs and outdated documentation with the current technical state of their repository.

Key Features

• Detection of Plan, Documentation, Issue, and Scope drift patterns
• Categorized reconstruction plans with immediate, short-term, and medium-term action items
• Deep semantic analysis using Opus to identify implemented but undocumented features
• Automated cross-referencing between Markdown documentation and source code
• Weighted prioritization engine for ranking technical debt and missing features
• 311 GitHub stars

Use Cases

• Aligning GitHub milestones and issue tracking with the actual progress of the implementation
• Auditing a legacy or stale repository to create a prioritized recovery roadmap
• Syncing technical documentation with the codebase after a period of rapid feature development