Individual skill
loop-design-check
Design a goal-oriented agent loop or review one for failure modes: spinning, Goodhart-gaming the verifier, or running a wrong answer to completion. Covers machine-decidable goals, loop types, plan/build/judge skeletons, and runaway prevention; mechanism wiring lives in autonomous-loops. Use when designing, writing, or checking an agent loop. 中文触发:写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。
skills/loop-design-check/SKILL.md
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- Last checked
- Nov 3, 2026
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- ai-agents Repository topic
- anthropic Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- llm Repository topic
- mcp Repository topic
- productivity Repository topic
- design Derived category
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SKILL.mdcore · 11,941 bytes
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# Loop Design + Review
> **Premise.** An LLM is a feed-forward system: prompt in → tokens out, with no built-in "steer toward the goal" across turns. To make it *behave* like a goal-oriented system, you wrap a feedback loop around it. This skill helps you **write** that loop correctly and **review** it so it won't run away.
## When to use / not
**Use it when:**
- You want to hand a repeating task to an agent that runs over and over (write→test, test→fix, fix→verify…).
- You already have a loop and worry it spins, cheats, or runs a wrong answer to completion.
**Don't use it for:**
- A one-off task → just do it; don't wrap a loop around it.
- A plain timer / poll → use `/loop`; no design needed.
- *How to wire the loop architecture* (pipelines → DAGs, long-run recovery) → that's the mechanism layer; see `autonomous-loops` / `continuous-agent-loop`. **This skill only covers "is the goal right, and will it run away" — it does not re-explain mechanism.**