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continuous-agent-loop

by @affaan-mv1.0.0
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Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

AI Agent LoopAutonomous AgentsReinforcement LearningAgent OrchestrationGitHub
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npx skills add affaan-m/everything-claude-code --skill continuous-agent-loop
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name: continuous-agent-loop description: Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. origin: ECC

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:

  1. RFC decomposition (ralphinho-rfc-pipeline)
  2. quality gates (plankton-code-quality + /quality-gate)
  3. eval loop (eval-harness)
  4. 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

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安装量340
评分0.0 / 5.0
版本1.0.0
更新日期2026年3月16日
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🔧Claude Code

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创建2026年3月16日
最后更新2026年3月16日