delegate-task

Delegate subtasks to specialized AI agents, enabling multi-agent collaboration. Each sub-agent can have different configurations, tools, and expertise.

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Install skill "delegate-task" with this command: npx skills add winsorllc/upgraded-carnival/winsorllc-upgraded-carnival-delegate-task

Delegate Task Skill

Delegate subtasks to specialized AI agents, enabling multi-agent collaboration. Each sub-agent can have different configurations, tools, and expertise.

When to Use

✅ USE this skill when:

  • Complex multi-step workflows

  • Specialized expertise needed (code review, research, summarization)

  • Parallel task execution

  • Separation of concerns

❌ DON'T use this skill when:

  • Simple single-step tasks

  • Tasks requiring deep context from parent

  • Tight-loop iterations

Architecture

┌─────────────────┐ │ Parent Agent │ │ (Orchestrator) │ └────────┬────────┘ │ Delegations ▼ ┌─────────────────────────────────────────────┐ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Research │ │ Code │ │ Review │ │ │ │ Agent │ │ Agent │ │ Agent │ │ │ └──────────┘ └──────────┘ └──────────┘ │ └─────────────────────────────────────────────┘

Agent Configurations

Define sub-agents in your configuration:

{ "delegations": { "research": { "model": "claude-sonnet-4-5-20250929", "tools": ["brave-search", "web-fetch", "summarize"], "systemPrompt": "You are a research specialist..." }, "coder": { "model": "claude-sonnet-4-5-20250929", "tools": ["vscode", "git-structured", "content-search"], "systemPrompt": "You are an expert software engineer..." }, "reviewer": { "model": "claude-3-5-sonnet", "tools": ["vscode", "content-search"], "systemPrompt": "You are a code reviewer focusing on quality..." } } }

Usage

JavaScript API

const { delegate } = require('/job/.pi/skills/delegate-task/delegate.js');

// Simple delegation const result = await delegate('research', { task: 'Find the latest developments in AI agents', context: 'Focus on multi-agent systems' });

console.log(result.response); console.log(result.metadata);

// Delegation with custom config const codeResult = await delegate('coder', { task: 'Implement a REST API endpoint', context: 'Use Express.js, add validation', timeout: 300000 // 5 minutes });

// Parallel delegations const [research, analysis] = await Promise.all([ delegate('research', { task: 'Research topic X' }), delegate('analysis', { task: 'Analyze data Y' }) ]);

Bash

node /job/.pi/skills/delegate-task/delegate.js
--agent research
--task "Find AI agent frameworks"
--context "Compare features and pricing"

API

delegate(agentName, options)

Options:

  • task

  • Task description (required)

  • context

  • Additional context

  • timeout

  • Timeout in ms (default: 300000)

  • maxTokens

  • Max response tokens

  • model

  • Override agent model

  • stream

  • Enable streaming (default: false)

Returns:

{ success: true, agent: "research", response: "I found 3 main frameworks...", metadata: { model: "claude-sonnet-4-5-20250929", tokensUsed: 1542, duration: 12300, citations: ["https://..."] }, conversationId: "conv_abc123" }

Delegation Chain

Supports nested delegation (up to 5 levels):

// Parent delegates to researcher const research = await delegate('research', { task: 'Compare CI/CD solutions' });

// Researcher can further delegate const analysis = await delegate('analysis', { task: 'Analyze cost differences', parentTask: research.response });

Multi-Agent Workflow Example

async function buildFeature(featureName) { // 1. Research existing implementations const research = await delegate('research', { task: Research how ${featureName} is implemented elsewhere, context: 'Look at open source projects' });

// 2. Plan architecture const plan = await delegate('architect', { task: 'Design the architecture', context: research.response });

// 3. Implement code const code = await delegate('coder', { task: 'Implement the feature', context: ${research.response}\n\nArchitecture: ${plan.response} });

// 4. Review code const review = await delegate('reviewer', { task: 'Review the implementation', context: code.response });

return { research, plan, code, review }; }

Error Handling

try { const result = await delegate('coder', { task: 'Write a function' }); console.log(result.response); } catch (error) { if (error.code === 'AGENT_NOT_FOUND') { console.error('Unknown agent'); } else if (error.code === 'TIMEOUT') { console.error('Agent took too long'); } else if (error.code === 'DEPTH_EXCEEDED') { console.error('Delegation chain too deep'); } }

Best Practices

  • Clear task descriptions - Be specific about what you want

  • Provide context - Include relevant background

  • Set timeouts - Prevent infinite loops

  • Chain thoughtfully - Don't over-nest

  • Handle errors - Graceful degradation

Agent-to-Agent Communication

// Pass data between agents const context = JSON.stringify({ originalTask: task, researchFindings: research.data, constraints: ['Must use TypeScript', 'No external deps'] });

await delegate('coder', { task: 'Implement based on research', context });

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