重构主控编排与运行时预热链路，统一工作区提示词/专家调度协议并补齐 wiki 记忆注入与写回闭环。

同时收敛启动与运维脚本默认行为（含 wiki worker）、更新 Admin 可观测性与相关测试，降低首轮时延并提高运行稳定性。

Made-with: Cursor

openclaw/extensions/open-prose/skills/prose/examples/41-rlm-divide-conquer.prose

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+# RLM: Divide and Conquer
+# Handle inputs 100x beyond context limits
+
+input corpus: "Large corpus to analyze"
+input query: "What to find or compute"
+
+agent chunker:
+  model: haiku
+  prompt: "Split at semantic boundaries into 4-8 chunks."
+
+agent analyzer:
+  model: sonnet
+  prompt: "Extract information relevant to the query."
+
+agent synthesizer:
+  model: opus
+  prompt: "Combine partial results. Reconcile conflicts."
+
+block process(data, depth):
+  if **data under 50k characters** or depth <= 0:
+    output session: analyzer
+      prompt: "{query}"
+      context: data
+
+  let chunks = session: chunker
+    prompt: "Split this corpus"
+    context: data
+
+  let partials = []
+  parallel for chunk in chunks:
+    let result = do process(chunk, depth - 1)
+    partials = partials + [result]
+
+  output session: synthesizer
+    prompt: "Synthesize for: {query}"
+    context: partials
+
+output answer = do process(corpus, 4)