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agentica-spawn

agentica-spawn

github.com/parcadeiAgent workflows3.9k473 installsUpdated 39w ago
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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

  1. 01Swarm for multi-perspective research
  2. 02Hierarchical task coordination
  3. 03Generator/Critic refinement rounds
  4. 04Jury-based majority validation
  5. 05Pattern-specific agent environment variables

Use cases

  1. 01Explore a topic from multiple perspectives
  2. 02Coordinate specialists on implementation
  3. 03Iteratively critique and refine a solution
  4. 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-spawn

After installing, type/agentica-spawnin Claude Code to confirm it loaded.

Details

From the project README

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)
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 run
  • AGENT_ROLE: Role within the pattern (coordinator, specialist, etc.)
  • PATTERN_TYPE: Which pattern is running

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