agentica-spawn

# 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) ``` ### 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) ``` ### 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) ``` ### Jury (Validate/Verify) ```python 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