Skip to content
cccskills
FreePublished on GitHub

agentica-spawn

Spawn Agentica multi-agent patterns

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md2.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Agent Context Isolation

The English summary is being prepared. Showing the original description.

parcadei/Continuous-Claude-v33.9KUpdated Jan 27, 2026

Agent Orchestration Rules

The English summary is being prepared. Showing the original description.

parcadei/Continuous-Claude-v33.9KUpdated Jan 27, 2026

Agentic Workflow Pattern

The English summary is being prepared. Showing the original description.

parcadei/Continuous-Claude-v33.9KUpdated Jan 27, 2026

Guide for integrating Agentica SDK with Claude Code CLI proxy

The English summary is being prepared. Showing the original description.

parcadei/Continuous-Claude-v33.9KUpdated Jan 27, 2026

Reference guide for Agentica multi-agent infrastructure APIs

The English summary is being prepared. Showing the original description.

parcadei/Continuous-Claude-v33.9KUpdated Jan 27, 2026

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

The English summary is being prepared. Showing the original description.

parcadei/Continuous-Claude-v33.9KUpdated Jan 27, 2026

See all skills by parcadei

Report a problem with this skill