Agent Skills
› NeverSight/learn-skills.dev
› continuous-agent-loop
continuous-agent-loop
GitHub提供持续自主智能体循环的模式，支持严格CI控制、RFC分解及并行探索。推荐结合质量门禁、评估框架和会话持久化构建生产栈，并包含针对循环停滞或成本漂移的故障恢复策略。
Trigger Scenarios
需要严格的CI/PR控制
需要进行RFC任务分解
需要探索性并行生成
默认顺序执行循环
Install
npx skills add NeverSight/learn-skills.dev --skill continuous-agent-loop -g -y
SKILL.md
Frontmatter
{
"name": "continuous-agent-loop",
"origin": "ECC",
"description": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls."
}
Continuous Agent Loop
This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.
Loop Selection Flow
Start
|
+-- Need strict CI/PR control? -- yes --> continuous-pr
|
+-- Need RFC decomposition? -- yes --> rfc-dag
|
+-- Need exploratory parallel generation? -- yes --> infinite
|
+-- default --> sequential
Combined Pattern
Recommended production stack:
- RFC decomposition (
ralphinho-rfc-pipeline) - quality gates (
plankton-code-quality+/quality-gate) - eval loop (
eval-harness) - session persistence (
nanoclaw-repl)
Failure Modes
- loop churn without measurable progress
- repeated retries with same root cause
- merge queue stalls
- cost drift from unbounded escalation
Recovery
- freeze loop
- run
/harness-audit - reduce scope to failing unit
- replay with explicit acceptance criteria
Version History
-
e0220ca
Current 2026-07-05 23:39
v1.8+版本，取代旧的autonomous-loops，保持单版本兼容。
