Rapid Convergence

What problem does it solve?

Methodologies often take too long (5-7 iterations, 20-30 hours) to converge, especially when initial metrics are unclear or validation is complex. This Skill provides a structured approach to identify when faster convergence is naturally possible, allowing you to optimize your workflow.

Core Features & Use Cases

• Predictive Model: Estimates iteration count (4-11) based on 5 key criteria, helping you plan experiments realistically and set accurate timelines.
• Optimized Strategy: Guides you through a 3-phase workflow (Planning, Baseline, Automation, Validation) designed to achieve methodology convergence in just 3-4 iterations.
• Significant Time Savings: Reduces methodology development time by 40-60% (10-15 hours vs 20-30 hours) without sacrificing quality or thoroughness.
• Use Case: When initiating a new project like "Error Recovery," use this Skill to assess if you can achieve convergence in 3 iterations (10 hours) instead of the standard 6 (25.5 hours), by ensuring clear baselines and direct validation.

Quick Start

Answer these 5 questions:

1. Baseline metrics exist? (YES/NO)
2. Domain is focused? (YES/NO)
3. Validation is direct? (YES/NO)
4. Prior art exists? (YES/NO)
5. Success criteria clear? (YES/NO)

Scoring:

• 4-5 YES: ⚡ Rapid convergence (3-4 iterations) likely
• 2-3 YES: 📊 Standard convergence (5-7 iterations) expected
• 0-1 YES: 🔬 Exploratory (6-10 iterations), establish baseline first