task-router

📁 mmcmedia/openclaw-agents 📅 12 days ago
3
总安装量
3
周安装量
#58629
全站排名
安装命令
npx skills add https://github.com/mmcmedia/openclaw-agents --skill task-router

Agent 安装分布

codex 3
openclaw 2
antigravity 2
claude-code 2
kiro-cli 2
gemini-cli 2

Skill 文档

Task Router

Smart routing layer that analyzes tasks and recommends the optimal agent to minimize Opus usage while maintaining quality.

When to Use

Always call analyze_task_routing before spawning a sub-agent. This prevents defaulting to Opus for tasks that Sonnet or Haiku can handle.

Tool: analyze_task_routing

Analyzes a task and returns the recommended agent with reasoning.

Usage:

// Before spawning
const routing = await analyze_task_routing({
  task: "Polish the analytics dashboard UI",
  context: "React + Tailwind, needs to match Command Center aesthetics"
});

// Then spawn with the recommendation
sessions_spawn({
  agentId: routing.agent,
  task: task_description,
  // ... other params
});

Routing Criteria

Haiku (DEFAULT for Simple Tasks — Feb 2, 2026 Update)

Use for:

  • Simple file edits (formatting, renaming, basic refactoring)
  • Quick Q&A or fact lookups
  • Basic data transformations
  • Status checks, summaries under 1000 words
  • Repetitive tasks with clear instructions
  • Single-file research summaries
  • Web scraping with clear targets
  • File organization/moving
  • Basic API calls with known patterns
  • Generating lists or enumerations
  • Simple templating tasks

Try Haiku FIRST if the task:

  • Has clear, specific instructions
  • Doesn’t require creative judgment
  • Can be validated objectively
  • Follows a known pattern

Escalate to Sonnet only if:

  • Task requires reasoning or judgment
  • Multi-step workflows with dependencies
  • Output quality needs to be nuanced

Sonnet (Default Workhorse)

Use for:

  • General coding tasks (features, bug fixes, testing)
  • Research and analysis
  • Content generation (blog posts, docs, reports)
  • Data processing and transformation
  • Most API integrations
  • File reorganization with logic
  • Standard debugging

This should handle 70-80% of tasks.

Codex (Reasoning for Code)

Use for:

  • Complex UI/UX implementation
  • Architecture decisions and refactoring
  • Debugging subtle/tricky bugs
  • Performance optimization
  • Code reviews requiring deep analysis
  • Building entire features from scratch
  • Complex algorithm implementation

Codex uses o1 reasoning – great for “thinking through” code problems.

Opus (Strategic Oversight)

Reserve for:

  • Multi-agent coordination
  • Complex strategic decisions spanning multiple domains
  • Sensitive business logic requiring judgment
  • Tasks requiring McKinzie’s context/preferences
  • Novel problems without clear solutions
  • High-stakes decisions

Opus should be rare – most work should delegate down.

Implementation Notes

  • Routing uses Sonnet to analyze tasks (cheap, fast, smart enough)
  • Default to Sonnet if uncertain – safer than Haiku, cheaper than Opus
  • I can override the recommendation if context requires it
  • Track routing decisions in session notes for improvement

Examples

// Simple edit → Haiku
analyze_task_routing({ task: "Fix indentation in config.json" })
// → { agent: "haiku", reasoning: "Simple formatting task" }

// Feature work → Sonnet
analyze_task_routing({ task: "Add email validation to signup form" })
// → { agent: "sonnet", reasoning: "Standard feature implementation" }

// Complex UI → Codex
analyze_task_routing({ task: "Build interactive data visualization with D3" })
// → { agent: "codex", reasoning: "Complex UI requiring architectural decisions" }

// Strategic → Opus
analyze_task_routing({ task: "Design routing strategy for multi-agent system" })
// → { agent: "opus", reasoning: "Meta-level strategic decision" }

Cost Impact

Typical session costs (rough estimates):

  • Haiku: $0.01 – $0.10
  • Sonnet: $0.10 – $1.00
  • Codex: $0.50 – $5.00 (reasoning tokens)
  • Opus: $2.00 – $20.00

Using this routing can save 60-80% on agent costs by preventing Opus from handling Sonnet-tier work.