適用於 Openclaw 的 Collaborative Agent

要開始使用 Collaborative Agent 技能，請確保您的工作空間已配置為指向您的 Openclaw Skills 目錄。

配置您的 python 環境以存取協作代理模組：

# Verify the installation path
cd ~\/.config\/opencode\/skills\/collaborative-agent

使用下方的範例將協作代理整合到您的 Python 自動化工作流中：

import sys
sys.path.insert(0, '\/Users\/pc\/.config\/opencode\/skills\/collaborative-agent')
from collaborative_agent import ARCWorkflow, AgentRole

# Instantiate the collaborative workspace
wf = ARCWorkflow()

# Orchestrate your task dependencies and assign roles
wf.add_task("Research advanced optimization routines", role="researcher")
wf.add_task("Formulate implementation blueprint", role="planner", depends_on=[0])
wf.add_task("Write and debug implementation", role="executor", depends_on=[1])
wf.add_task("Review code standards and coverage", role="reviewer", depends_on=[2])
wf.add_task("Compile structured executive summary", role="summarizer", depends_on=[3])

# Run all cooperative tasks in order
results = wf.run_all()

# Retrieve the compiled report
report = wf.get_report()
print(report)

Collaborative Agent 對其內部配置和遙測數據進行結構化，以便在您的 Openclaw Skills 工作流環境中進行追蹤、評估和進化。