Individual skill
convergence-monitoring
Detecting whether agent iterations are converging toward a stable solution or hitting a ceiling. Covers convergence signals, ceiling detection, non-convergence diagnosis, test pass rate as a convergence metric, and forward progress tracking for large projects. Trigger phrases: "convergence", "is the agent converging", "ceiling detection", "when to stop iterating", "diminishing returns"
plugins/JuliusBrussee/blueprint/skills/convergence-monitoring/SKILL.md
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# Convergence Monitoring
Convergence monitoring answers the most important question in iterative AI development: **when should you stop iterating?** The answer is not a fixed number of iterations or a time limit -- it is convergence. Convergence means the agent's output is stabilizing; each iteration produces fewer and smaller changes than the last.
**Core insight:** You don't need a zero-diff -- you need the remaining modifications to be inconsequential.
---
## 1. What Is Convergence?
Convergence appears as a rapid, consistent decline in the volume of changes from one iteration to the next:
```
Iteration 1: ████████████████████████████████████████ 300 lines changed