oclaw/openclaw/extensions/open-prose/skills/prose/examples/09-research-with-agents.prose
oliver dbbe3add6a 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。

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# Research Pipeline with Specialized Agents
# This example demonstrates defining agents with different models
# and using them in sessions with property overrides.
# Define specialized agents
agent researcher:
model: sonnet
prompt: "You are a research assistant skilled at finding and synthesizing information"
agent writer:
model: opus
prompt: "You are a technical writer who creates clear, concise documentation"
# Step 1: Initial research with the researcher agent
session: researcher
prompt: "Research recent developments in renewable energy storage technologies"
# Step 2: Deep dive with a more powerful model
session: researcher
model: opus
prompt: "Analyze the top 3 most promising battery technologies and their potential impact"
# Step 3: Write up the findings
session: writer
prompt: "Create a summary report of the research findings suitable for executives"