How to Improve Your /goal by Designing a Loop Before Launching It
How to Improve Your /goal by Designing a Loop Before Launching It
Proper loop design is critical for effective token usage and achieving quality results.
A poorly designed loop quickly wastes tokens and produces garbage. Therefore, it's important to spend time designing a loop harness.
Instead of just writing /goal and hoping it works, first run it through the LOOPER skill, which:
- critiques your loop and provides best practices from the library
- assembles a verification rubric so the loop understands what 'done' means
- allows you to connect an LLM as a judge, including Codex and models other than Claude
- sets token limits and budgets—either strict or flexible—to keep the process on track
- exports everything as a portable artifact that can be reused and edited
- provides a visual diagram of the loop
This design layer helps create a loop that produces quality output and then passes it to Claude Code or other models. 🐸🐸
Why it matters
AnalysisEffective loop design enables developers to optimize resource usage and enhance output quality, which is crucial in modern AI applications.
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