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continuous-agent-loop

Official
by Api.AirforcePrepends a system promptAI & Agent Building000 uses202,700

具有质量门、评估和恢复控制的连续自主代理循环模式。

open-sourceclaude-codeai-agent-buildingaffaan-m
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What this skill does

When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.

---
name: continuous-agent-loop
description: 具有质量门、评估和恢复控制的连续自主代理循环模式。
origin: ECC
---

# 持续代理循环

这是 v1.8+ 的规范循环技能名称。它在保持一个发布版本的兼容性的同时,取代了 `autonomous-loops`。

## 循环选择流程

```text
Start
  |
  +-- 需要严格的 CI/PR 控制? -- yes --> continuous-pr
  |
  +-- 需要 RFC 分解? -- yes --> rfc-dag
  |
  +-- 需要探索性并行生成? -- yes --> infinite
  |
  +-- default --> sequential
```

## 组合模式

推荐的生产栈:

1. RFC 分解 (`ralphinho-rfc-pipeline`)
2. 质量门 (`plankton-code-quality` + `/quality-gate`)
3. 评估循环 (`eval-harness`)
4. 会话持久化 (`nanoclaw-repl`)

## 故障模式

* 循环空转,没有可衡量的进展
* 因相同根本原因而重复重试
* 合并队列停滞
* 无限制升级导致的成本漂移

## 恢复

* 冻结循环
* 运行 `/harness-audit`
* 将范围缩小到失败单元
* 使用明确的验收标准重放

Use this skill

Per request

Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.

{
  "model": "gpt-4o-mini",
  "skill": "imp-8486c6f6-bacf-4b55-9462-d5e0c1525565",
  "messages": [{ "role": "user", "content": "…" }]
}
Always on — no field to send

Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.

Set it up in your dashboard