Vibecosystem agentica-spawn

Spawn Agentica multi-agent patterns

install
source · Clone the upstream repo
git clone https://github.com/vibeeval/vibecosystem
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/vibeeval/vibecosystem "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/agentica-spawn" ~/.claude/skills/vibeeval-vibecosystem-agentica-spawn && rm -rf "$T"
manifest: skills/agentica-spawn/SKILL.md
source content

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