Rapid Convergence

About

Rapid Convergence is a meta-cognition skill for Claude Code designed to streamline complex development workflows through structural optimization. By identifying high-baseline metrics and focused domain scopes, it enables Claude to achieve production-ready methodology convergence in just 3-4 iterations rather than the standard 5-7. This skill is ideal for projects with quantifiable success criteria and existing prior art, providing a predictive model for timeline estimation and a strategic roadmap to reduce total development time without compromising quality or rigor.

Key Features

• Predictive iteration modeling to estimate project timelines and effort.
• Structural workflow optimization for 40-60% faster convergence.
• 15 GitHub stars
• Quantitative baseline assessment using V_meta metric thresholds.
• Direct and retrospective validation strategies to minimize cycle overhead.
• Clear decision framework for choosing rapid vs. standard development paths.

Use Cases

• Planning and estimating timelines for new experimental software workflows.
• Accelerating error recovery and system stabilization in production environments.
• Optimizing documentation and taxonomy creation for focused code domains.