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Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-st

2026-03-31 新闻来源:网淘吧 围观:11
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任务分解器与技能生成器

此技能帮助将复杂的用户请求分解为可执行的子任务,识别每项任务所需的能力,从开放的技能生态系统中搜索现有技能,并在无现成解决方案时自动创建新技能。

核心工作流程

User Request → Task Decomposition → Capability Identification → Skill Search → Gap Analysis → Skill Creation → Execution Plan

阶段一:任务分析与分解

当接收到用户请求时,请遵循以下步骤:

Decomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-step request, wants to automate workflows, or needs help breaking down large tasks into manageable pieces.

步骤一:理解用户意图

分析请求以确定:

  • 核心目标:最终目的是什么?
  • 涉及领域:需要哪些专业领域的知识?
  • 触发机制:一次性、计划性还是事件驱动?

示例分析:

User Input: "Help me get email summaries every morning and send them to Slack"

Analysis:
- Core objective: Automated email digest delivery to Slack
- Domains: Email access, content summarization, messaging
- Trigger: Scheduled (daily morning)

步骤二:分解为原子任务

将复杂任务拆解为最小的可执行单元:

Task Decomposition:
  - task_id: 1
    name: "Access and retrieve email list"
    type: "data_retrieval"
    input: "Email credentials/session"
    output: "List of emails with metadata"
    dependencies: []
    
  - task_id: 2
    name: "Extract key information from emails"
    type: "data_extraction"
    input: "Email list"
    output: "Structured email data"
    dependencies: [1]
    
  - task_id: 3
    name: "Generate email summary"
    type: "content_generation"
    input: "Structured email data"
    output: "Formatted summary text"
    dependencies: [2]
    
  - task_id: 4
    name: "Send message to Slack"
    type: "message_delivery"
    input: "Summary text, Slack webhook/token"
    output: "Delivery confirmation"
    dependencies: [3]
    
  - task_id: 5
    name: "Configure scheduled execution"
    type: "scheduling"
    input: "Workflow script, schedule config"
    output: "Active scheduled job"
    dependencies: [4]

阶段二:能力识别

将每个子任务映射到通用能力分类体系中的一种能力类型。

通用能力类型

能力描述搜索关键词
browser_automation网页导航、交互、抓取浏览器, selenium, puppeteer, playwright, 抓取
web_search互联网搜索与信息检索搜索, 谷歌, bing, duckduckgo
api_integration第三方API通信api, rest, graphql, webhook, {服务名称}
data_extraction解析与提取结构化数据解析, 提取, 抓取, ocr, pdf
data_transformation转换、清理、转换数据转换, 转化, 格式化, 清理, etl
content_generation创建文本、图像或其他内容生成, 撰写, 创建, 总结, 翻译
文件操作读取、写入、操作文件文件、读取、写入、csv、excel、json、pdf
消息传递发送通知或消息通知、发送、电子邮件、slack、discord、telegram
调度基于时间的任务执行调度、cron、定时器、每日、每周
认证身份和访问管理认证、oauth、登录、令牌、凭证
数据库操作数据库增删改查操作数据库、sql、mongodb、查询、存储
代码执行运行脚本或程序执行、运行、脚本、shell、python
版本控制Git与代码仓库操作git、github、gitlab、提交、pr、审查
测试自动化测试与质量保证测试,Jest,Pytest,端到端测试,单元测试
部署应用程序部署与CI/CD部署,Docker,Kubernetes,CI-CD,发布
监控系统与应用程序监控监控,告警,日志,指标,健康状态

能力识别流程

对于每个子任务:

  1. 分析任务描述与要求
  2. 匹配到一个或多个能力类型
  3. 生成用于技能发现的搜索关键词

示例:

Task: "Send message to Slack"
Capability: message_delivery
Search Keywords: ["slack", "notification", "message", "webhook"]

第三阶段:技能搜索

使用Skills CLI在以下位置搜索现有技能:https://skills.sh/

搜索流程

针对每个能力需求,使用相关关键词进行搜索:

# Search for skills matching the capability
npx skills find <keyword>

# Examples:
npx skills find slack notification
npx skills find browser automation
npx skills find pdf extract
npx skills find github api

评估搜索结果

当返回结果时:

Install with npx skills add <owner/repo@skill>

owner/repo@skill-name
└ https://skills.sh/owner/repo/skill-name

评估每个结果的以下方面:

  • 相关性:是否与所需能力匹配?
  • 完整性:是否涵盖了所有需要的功能?
  • 质量:是否文档完善且维护良好?

生成能力映射

Capability Mapping:
  - task_id: 1
    capability: browser_automation
    search_query: "browser email automation"
    found_skills:
      - name: "anthropic/claude-skills@browser-use"
        url: "https://skills.sh/anthropic/claude-skills/browser-use"
        match_score: high
    recommendation: "Install browser-use skill"
    
  - task_id: 4
    capability: message_delivery
    search_query: "slack notification"
    found_skills: []
    recommendation: "Create new skill: slack-notification"

阶段 4:差距分析

识别没有匹配技能的任务:

内置能力(无需额外技能)

这些能力通常由智能体的原生能力处理:

  • 内容生成- 大语言模型的原生文本生成
  • 数据转换- 通过代码进行基本的数据操作
  • 代码执行- 直接执行脚本
  • 调度- 系统级 cron/调度器配置

所需技能

对于没有内置支持的能力,确定:

  1. 技能存在:从 skills.sh 安装
  2. 未找到技能:创建新技能

阶段 5:技能创建

当没有现有技能匹配所需能力时,创建一个新技能。

技能创建流程

  1. 定义范围:确定该技能应实现的功能
  2. 设计接口:定义输入、输出和使用模式
  3. 创建 SKILL.md:编写技能定义文件
  4. 添加资源:根据需要包含脚本、参考资料或资产

技能模板

---
name: {skill-name}
description: {Clear description of what the skill does and when to use it. Written in third person.}
---

# {Skill Title}

{Brief introduction explaining the skill's purpose.}

## When to Use

{Describe scenarios when this skill should be triggered.}

## Prerequisites

{List any required installations, configurations, or credentials.}

## Usage

{Detailed usage instructions with examples.}

### Basic Usage

```bash
{Basic command or code example}

高级用法

{更复杂的示例和选项。}

配置

{任何配置选项或环境变量。}

示例

示例一:{用例}

{包含代码的逐步示例。}

故障排除

{常见问题及解决方案。}


### Initialize New Skill

```bash
# Create skill using the skills CLI
npx skills init <skill-name>

# Or manually create the structure:
# skill-name/
# ├── SKILL.md (required)
# ├── scripts/ (optional)
# ├── references/ (optional)
# └── assets/ (optional)

第六阶段:生成执行计划

将所有信息汇编成结构化的执行计划:

Execution Plan:
  title: "{Task Description}"
  
  prerequisites:
    - "{Prerequisite 1}"
    - "{Prerequisite 2}"
  
  skills_to_install:
    - skill: "owner/repo@skill-name"
      command: "npx skills add owner/repo@skill-name -g -y"
      url: "https://skills.sh/owner/repo/skill-name"
  
  skills_to_create:
    - name: "{new-skill-name}"
      capability: "{capability_type}"
      description: "{What it does}"
  
  execution_steps:
    - step: 1
      task: "{Task name}"
      skill: "{skill-name | built-in}"
      action: "{Specific action to take}"
      
    - step: 2
      task: "{Task name}"
      skill: "{skill-name | built-in}"
      action: "{Specific action to take}"
  
  verification:
    - "{How to verify step 1 succeeded}"
    - "{How to verify step 2 succeeded}"

任务分解原则

原则一:原子性

每个子任务应是具有明确输入输出的最小可执行单元。

原则二:独立性

最小化任务间的依赖关系,尽可能允许并行执行。

原则三:可验证性

每个任务应有明确的方法来验证其成功完成。

原则四:可复用性

识别可复用的模式,优先创建通用技能。

原则五:单一职责

每个任务应专注于做好一件事。

输出格式

以结构化格式呈现分解结果:

════════════════════════════════════════════════════════════════
📋 TASK DECOMPOSITION REPORT
════════════════════════════════════════════════════════════════

🎯 Original Request:
{User's original request}

────────────────────────────────────────────────────────────────
📊 SUBTASKS
────────────────────────────────────────────────────────────────
┌─────┬────────────────────────┬───────────────────┬───────────┐
│ ID  │ Task                   │ Capability        │ Status    │
├─────┼────────────────────────┼───────────────────┼───────────┤
│ 1   │ {task name}            │ {capability}      │ Found     │
│ 2   │ {task name}            │ {capability}      │ Built-in  │
│ 3   │ {task name}            │ {capability}      │ Create    │
└─────┴────────────────────────┴───────────────────┴───────────┘

────────────────────────────────────────────────────────────────
🔍 SKILL SEARCH RESULTS
────────────────────────────────────────────────────────────────
Task 1: {task name}
  Search: npx skills find {keywords}
  Found: owner/repo@skill-name
  URL: https://skills.sh/owner/repo/skill-name
  
Task 3: {task name}
  Search: npx skills find {keywords}
  Found: No matching skills
  Action: Create new skill

────────────────────────────────────────────────────────────────
🛠️ SKILLS TO CREATE
────────────────────────────────────────────────────────────────
1. {skill-name}
   Capability: {capability_type}
   Description: {what it does}

────────────────────────────────────────────────────────────────
📝 EXECUTION PLAN
────────────────────────────────────────────────────────────────
Prerequisites:
  • {prerequisite 1}
  • {prerequisite 2}

Steps:
  1. {action} using {skill}
  2. {action} using {skill}
  3. {action} using {skill}

════════════════════════════════════════════════════════════════

示例

示例 1:工作流自动化

用户请求:

Create a workflow that monitors GitHub issues, summarizes new issues, and posts notifications to Discord

分解:

Subtasks:
  1. Monitor GitHub repository for new issues
     Capability: api_integration
     Search: "npx skills find github issues"
     
  2. Extract issue content and metadata
     Capability: data_extraction
     Status: Built-in (code)
     
  3. Generate issue summary
     Capability: content_generation
     Status: Built-in (LLM)
     
  4. Send notification to Discord
     Capability: message_delivery
     Search: "npx skills find discord notification"
     
  5. Configure webhook or polling trigger
     Capability: scheduling
     Status: Built-in (system)

示例 2:数据管道

用户请求:

Search for AI research papers, download PDFs, extract key findings, and save to Notion

分解:

Subtasks:
  1. Search for AI research papers
     Capability: web_search
     Search: "npx skills find academic search"
     
  2. Download PDF files
     Capability: browser_automation
     Search: "npx skills find browser download"
     
  3. Extract text from PDFs
     Capability: data_extraction
     Search: "npx skills find pdf extract"
     
  4. Generate summaries of key findings
     Capability: content_generation
     Status: Built-in (LLM)
     
  5. Save to Notion database
     Capability: api_integration
     Search: "npx skills find notion"

最佳实践

  1. 从技能搜索开始:在创建新技能前,务必先检查https://skills.sh/使用具体的搜索术语
  2. :将能力关键词与领域术语相结合利用内置能力
  3. :不要为智能体原生就能完成的功能创建技能创建可复用的技能
  4. :尽可能将新技能设计为通用型详细记录
  5. :新技能应附有清晰的使用说明执行前验证
  6. :在执行任务前确认技能已安装: Confirm skill installation before executing tasks
  7. 优雅地处理错误: 在执行计划中包含备用策略

与查找技能集成

此技能与find-skills技能协同工作,用于发现现有解决方案:

# Search the skills ecosystem
npx skills find <query>

# Install a discovered skill
npx skills add <owner/repo@skill> -g -y

# Browse all available skills
# Visit: https://skills.sh/

备注

  • 在创建新技能前,始终先搜索现有技能
  • 内置功能(LLM、基础代码)无需额外技能
  • 创建技能前需获得用户确认方可继续
  • 复杂工作流程可能需要多个技能协同运作

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