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)
pythonswarm = 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)
pythonhierarchical = 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)
pythongc = 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)
pythonjury = 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 runAGENT_ROLE: Role within the pattern (coordinator, specialist, etc.)PATTERN_TYPE: Which pattern is running


