Agent Context Isolation
中文简介正在准备中。当前显示原文说明。
parcadei/Continuous-Claude-v339462026年1月27日 更新
Spawn Agentica multi-agent patterns
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill after user selects an Agentica pattern.
swarm = Swarm(
perspectives=[
"Security expert analyzing for vulnerabilities",
"Performance expert optimizing for speed",
"Architecture expert reviewing design"
],
aggregate_mode=AggregateMode.MERGE,
)
result = await swarm.execute(task_description)
hierarchical = Hierarchical(
coordinator_premise="You break tasks into subtasks",
specialist_premises={
"planner": "You create implementation plans",
"implementer": "You write code",
"reviewer": "You review code for issues"
},
)
result = await hierarchical.execute(task_description)
gc = GeneratorCritic(
generator_premise="You generate solutions",
critic_premise="You critique and suggest improvements",
max_rounds=3,
)
result = await gc.run(task_description)
jury = Jury(
num_jurors=5,
consensus_mode=ConsensusMode.MAJORITY,
premise="You evaluate the solution"
)
verdict = await jury.decide(bool, question)
All spawned agents receive:
SWARM_ID: Unique identifier for this swarm runAGENT_ROLE: Role within the pattern (coordinator, specialist, etc.)PATTERN_TYPE: Which pattern is running还没有评价。欢迎分享你的使用感受。
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Agent Context Isolation
中文简介正在准备中。当前显示原文说明。
Agent Orchestration Rules
中文简介正在准备中。当前显示原文说明。
Agentic Workflow Pattern
中文简介正在准备中。当前显示原文说明。
Guide for integrating Agentica SDK with Claude Code CLI proxy
中文简介正在准备中。当前显示原文说明。
Reference guide for Agentica multi-agent infrastructure APIs
中文简介正在准备中。当前显示原文说明。
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
中文简介正在准备中。当前显示原文说明。