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task-decomposer

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.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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task-decomposer

# Task Decomposer & Skill Generator This skill helps decompose complex user requests into executable subtasks, identify required capabilities for each task, search for existing skills from the open skills ecosystem, and automatically create new skills when no existing solution is available. ## Core Workflow ``` User Request → Task Decomposition → Capability Identification → Skill Search → Gap Analysis → Skill Creation → Execution Plan ``` ## Phase 1: Task Analysis & Decomposition When receiving a user request, follow these steps: ### Step 1: Understand User Intent Analyze the request to identify: - **Core objective**: What is the end goal? - **Domains involved**: What areas of expertise are needed? - **Trigger mechanism**: One-time, scheduled, or event-driven? Example analysis: ``` 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) ``` ### Step 2: Decompose into Atomic Tasks Break down the complex task into minimal executable units: ```yaml 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] ``` ## Phase 2: Capability Identification Map each subtask to a capability type from the universal capability taxonomy. ### Universal Capability Types | Capability | Description | Search Keywords | |------------|-------------|-----------------| | `browser_automation` | Web navigation, interaction, scraping | browser, selenium, puppeteer, playwright, scrape | | `web_search` | Internet search and information retrieval | search, google, bing, duckduckgo | | `api_integration` | Third-party API communication | api, rest, graphql, webhook, {service-name} | | `data_extraction` | Parse and extract structured data | parse, extract, scrape, ocr, pdf | | `data_transformation` | Convert, clean, transform data | transform, convert, format, clean, etl | | `content_generation` | Create text, images, or other content | generate, write, create, summarize, translate | | `file_operations` | Read, write, manipulate files | file, read, write, csv, excel, json, pdf | | `message_delivery` | Send notifications or messages | notify, send, email, slack, discord, telegram | | `scheduling` | Time-based task execution | schedule, cron, timer, daily, weekly | | `authentication` | Identity and access management | auth, oauth, login, token, credentials | | `database_operations` | Database CRUD operations | database, sql, mongodb, query, store | | `code_execution` | Run scripts or programs | execute, run, script, shell, python | | `version_control` | Git and code repository operations | git, github, gitlab, commit, pr, review | | `testing` | Automated testing and QA | test, jest, pytest, e2e, unit | | `deployment` | Application deployment and CI/CD | deploy, docker, kubernetes, ci-cd, release | | `monitoring` | System and application monitoring | monitor, alert, log, metrics, health | ### Capability Identification Process For each subtask: 1. Analyze the task description and requirements 2. Match to one or more capability types 3. Generate search keywords for skill discovery Example: ```yaml Task: "Send message to Slack" Capability: message_delivery Search Keywords: ["slack", "notification", "message", "webhook"] ``` ## Phase 3: Skill Search Use the Skills CLI to search for existing skills at https://skills.sh/ ### Search Process For each capability need, search using relevant keywords: ```bash # 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 ``` ### Evaluate Search Results When results are returned: ``` Install with npx skills add <owner/repo@skill> owner/repo@skill-name └ https://skills.sh/owner/repo/skill-name ``` Evaluate each result for: - **Relevance**: Does it match the required capability? - **Completeness**: Does it cover all needed functionality? - **Quality**: Is it well-documented and maintained? ### Generate Capability Mapping ```yaml 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" ``` ## Phase 4: Gap Analysis Identify tasks without matching skills: ### Built-in Capabilities (No Skill Needed) These capabilities are typically handled by the agent's native abilities: - `content_generation` - LLM's native text generation - `data_transformation` - Basic data manipulation via code - `code_execution` - Direct script execution - `scheduling` - System-level cron/scheduler configuration ### Skills Required For capabilities without built-in support, determine: 1. **Skill exists**: Install from skills.sh 2. **Skill not found**: Create new skill ## Phase 5: Skill Creation When no existing skill matches a required capability, create a new skill. ### Skill Creation Process 1. **Define scope**: Determine what the skill should do 2. **Design interface**: Define inputs, outputs, and usage patterns 3. **Create SKILL.md**: Write the skill definition file 4. **Add resources**: Include scripts, references, or assets as needed ### Skill Template ```markdown --- 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} ``` ### Advanced Usage {More complex examples and options.} ## Configuration {Any configuration options or environment variables.} ## Examples ### Example 1: {Use Case} {Step-by-step example with code.} ## Troubleshooting {Common issues and solutions.} ``` ### 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) ``` ## Phase 6: Generate Execution Plan Compile all information into a structured execution plan: ```yaml 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}" ``` ## Task Decomposition Principles ### Principle 1: Atomicity Each subtask should be the minimal executable unit with clear input and output. ### Principle 2: Independence Minimize dependencies between tasks to allow parallel execution where possible. ### Principle 3: Verifiability Each task should have a clear way to verify successful completion. ### Principle 4: Reusability Identify reusable patterns and prefer creating general-purpose skills. ### Principle 5: Single Responsibility Each task should do one thing well. ## Output Format Present the decomposition results in a structured format: ``` ════════════════════════════════════════════════════════════════ 📋 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} ════════════════════════════════════════════════════════════════ ``` ## Examples ### Example 1: Workflow Automation **User Request:** ``` Create a workflow that monitors GitHub issues, summarizes new issues, and posts notifications to Discord ``` **Decomposition:** ```yaml 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) ``` ### Example 2: Data Pipeline **User Request:** ``` Search for AI research papers, download PDFs, extract key findings, and save to Notion ``` **Decomposition:** ```yaml 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" ``` ## Best Practices 1. **Start with skill search**: Always check https://skills.sh/ before creating new skills 2. **Use specific search terms**: Combine capability keywords with domain terms 3. **Leverage built-in capabilities**: Don't create skills for things the agent can do natively 4. **Create reusable skills**: Design new skills to be general-purpose when possible 5. **Document thoroughly**: New skills should have clear usage instructions 6. **Verify before proceeding**: Confirm skill installation before executing tasks 7. **Handle errors gracefully**: Include fallback strategies in execution plans ## Integration with find-skills This skill works in conjunction with the `find-skills` skill for discovering existing solutions: ```bash # 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/ ``` ## Notes - Always search for existing skills before creating new ones - Built-in capabilities (LLM, basic code) don't require skills - Skill creation requires user confirmation before proceeding - Complex workflows may need multiple skills working together

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

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帮我安装 SkillHub 和 openclaw-super-skills-1775915069 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 openclaw-super-skills-1775915069 技能

通过命令行安装

skillhub install openclaw-super-skills-1775915069

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⬇ 下载 task-decomposer v1.0.0

文件大小: 12.9 KB | 发布时间: 2026-4-12 10:51

v1.0.0 最新 2026-4-12 10:51
- Initial release of the task-decomposer skill.
- Decomposes complex user requests into manageable subtasks and identifies required capabilities for each task.
- Searches for existing skills in the open skills ecosystem via skills.sh and recommends installation or creation of new skills if needed.
- Provides phase-driven workflow: task analysis, capability mapping, skill search, gap analysis, skill generation, and execution planning.
- Includes detailed skill creation templates and practical usage instructions.

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