{
    "app": {
        "name": "continuous-agent-loop",
        "description": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.",
        "mode": "advanced-chat",
        "model_config": {
            "provider": "deepseek",
            "model": "deepseek-chat",
            "parameters": {
                "temperature": 0.7,
                "max_tokens": 4096
            }
        }
    },
    "instructions": "name continuous-agent-loop description Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures. metadata {\"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: 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",
    "variables": [],
    "opening_statement": "你好，我是 continuous-agent-loop，Patterns for continuous autonomous agent loops wit...",
    "suggested_questions": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=affaan-m-ecc-skills-continuous-agent-loop-skill-md"
}