Agentica Spawn

作者 parcadeid07ff4b06b62无许可证3.9K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库8个月前更新

Spawn Agentica multi-agent patterns

仅含说明AI & Agents

AI 生成的概览

为任务启动 Agentica 多智能体模式，如 Swarm、Hierarchical、Generator/Critic 和 Jury。

功能: 该技能把选定的 Agentica 多智能体模式对应到相应的启动方法，并说明如何调用。它涵盖用于研究与探索的 Swarm、用于构建与实现的 Hierarchical、用于迭代改进的 Generator/Critic，以及用于验证的 Jury。它还列出传递给所启动智能体的环境变量，例如 SWARM_ID、AGENT_ROLE 和 PATTERN_TYPE。
适用场景: 适用于 Agentica 编排器提示选择模式之后，或用户明确要求使用多智能体模式时。它适合受益于并行智能体的复杂任务，包括多视角研究、协同实现、迭代改进或高风险验证。
运行要求: 不附带脚本，仅为说明性内容。它假定存在具备所述模式类的 Agentica 多智能体运行时，并且环境会向所启动的智能体提供 SWARM_ID、AGENT_ROLE 和 PATTERN_TYPE。

Agentica Spawn Skill

Use this skill after user selects an Agentica pattern.

When to Use

After agentica-orchestrator prompts user for pattern selection
When user explicitly requests a multi-agent pattern (swarm, hierarchical, etc.)
When implementing complex tasks that benefit from parallel agent execution
For research tasks requiring multiple perspectives (use Swarm)
For implementation tasks requiring coordination (use Hierarchical)
For iterative refinement (use Generator/Critic)
For high-stakes validation (use Jury)

Pattern Selection to Spawn Method

Swarm (Research/Explore)

python

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)

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 (Build/Implement)

python

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)

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)

Generator/Critic (Iterate/Refine)

python

gc = GeneratorCritic(    generator_premise="You generate solutions",    critic_premise="You critique and suggest improvements",    max_rounds=3,)result = await gc.run(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 (Validate/Verify)

python

jury = Jury(    num_jurors=5,    consensus_mode=ConsensusMode.MAJORITY,    premise="You evaluate the solution")verdict = await jury.decide(bool, question)

jury = Jury(    num_jurors=5,    consensus_mode=ConsensusMode.MAJORITY,    premise="You evaluate the solution")verdict = await jury.decide(bool, question)

Environment Variables

All spawned agents receive:

SWARM_ID: Unique identifier for this swarm run
AGENT_ROLE: Role within the pattern (coordinator, specialist, etc.)
PATTERN_TYPE: Which pattern is running

来源与署名

来源：parcadei/continuous-claude-v3位于.claude/skills/agentica-spawn提交d07ff4b

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Agentica Spawn

Agentica Spawn Skill

When to Use

Pattern Selection to Spawn Method

Swarm (Research/Explore)

Hierarchical (Build/Implement)

Generator/Critic (Iterate/Refine)

Jury (Validate/Verify)

Environment Variables

来源与署名

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