About agentica-spawn
agentica-spawn is a skill for launching Agentica multi-agent patterns after a pattern is selected. It guides research, implementation, iterative refinement, and validation tasks.
Key features
- 01Swarm for multi-perspective research
- 02Hierarchical task coordination
- 03Generator/Critic refinement rounds
- 04Jury-based majority validation
- 05Pattern-specific agent environment variables
Use cases
- 01Explore a topic from multiple perspectives
- 02Coordinate specialists on implementation
- 03Iteratively critique and refine a solution
- 04Validate a result through a jury
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ parcadei/ continuous-claude-v3 --skill agentica-spawnAfter installing, type/agentica-spawnin Claude Code to confirm it loaded.
Details
From the project READMEAgentica 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)
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)
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)
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)
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 runAGENT_ROLE: Role within the pattern (coordinator, specialist, etc.)PATTERN_TYPE: Which pattern is running
Comments
Markdown supported