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task-router任务路由器

Agent Skill

task-router 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

214

周安装

9

GitHub Stars

1

下载量

75
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:task-router(任务路由器)
来源仓库:https://github.com/mmcmedia/openclaw-agents
仓库路径:skills/task-router
安装命令:
npx skills add https://github.com/mmcmedia/openclaw-agents --skill task-router
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mmcmedia/openclaw-agents --skill task-router

简介

任务路由器用于根据输入自动分配与路由任务类型。

  • 它支持多技能协同,提升 Agent 处理复杂请求的效率。
  • 通过 openclaw-agents 仓库安装,适用于 Codex、Claude 等平台。
  • 需确认其路由逻辑是否依赖外部配置或动态加载规则。
  • task-router 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.5%
按下载量换算28

Claude

26.29%
按下载量换算20

Cursor

17.46%
按下载量换算13

Gemini CLI

9.58%
按下载量换算7

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/mmcmedia/openclaw-agents --skill task-router 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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