agentica-spawn skill
Spawn Agentica multi-agent patterns
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Install the agentica-spawn skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3 mkdir -p ~/.claude/skills cp -r /tmp/Continuous-Claude-v3/.claude/skills/agentica-spawn ~/.claude/skills/agentica-spawn
available in every project
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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
More skills from parcadei/Continuous-Claude-v3
- Aagent-context-isolationAgent Context Isolation
- Aagent-orchestrationAgent Orchestration Rules
- Aagentic-workflowAgentic Workflow Pattern
- Aagentica-claude-proxyGuide for integrating Agentica SDK with Claude Code CLI proxy
- Aagentica-infrastructureReference guide for Agentica multi-agent infrastructure APIs
- Aagentica-promptsWrite reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
- Aagentica-sdkBuild Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
- Aagentica-serverAgentica server + Claude proxy setup - architecture, startup sequence, debugging
- Aanalytic-functionsProblem-solving strategies for analytic functions in complex analysis
- Aast-grep-findAST-based code search and refactoring via ast-grep MCP
- Aasync-repl-protocolAsync REPL Protocol
- Aasync-repl-protocolAsync REPL Protocol