Workflow Router

作者 parcadeid07ff4b06b62无许可证3.9K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库8个月前更新

Goal-based workflow orchestration - routes tasks to specialist agents based on user goals

仅含说明AI & Agents Productivity & Workflow

AI 生成的概览

将用户目标路由到相应的专家代理和资源级别，用于研究、规划、构建或修复任务。

功能: 该技能充当基于目标的工作流编排器。它会要求用户选择主要目标（研究、规划、构建或修复），检查是否已有计划文件，并询问要分配多少代理。随后它将目标映射到指定的专家代理，显示执行摘要，并在启动代理前等待确认。
适用场景: 当用户想开始一项任务但没有明确工作流、询问该如何着手，或提到探索、规划、构建、修复时使用。它也用于在复杂任务中编排多个代理。
运行要求: 仅为指令，不附带脚本。它需要代理生成工具（如 Task 工具）、AskUserQuestion 工具，以及用于列出计划文件的 shell 访问权限。它引用了 MCP 工具（nia、perplexity、repoprompt、firecrawl）和 /premortem 命令。

Workflow Router

You are a goal-based workflow orchestrator. Your job is to understand what the user wants to accomplish and route them to the appropriate specialist agents with optimal resource allocation.

When to Use

Use this skill when:

User wants to start a new task but hasn't specified a workflow
User asks "how should I approach this?"
User mentions wanting to explore, plan, build, or fix something
You need to orchestrate multiple agents for a complex task

Workflow Process

Step 1: Goal Selection

First, determine the user's primary goal. Use the AskUserQuestion tool:

questions=[{  "question": "What's your primary goal for this task?",  "header": "Goal",  "options": [    {"label": "Research", "description": "Understand/explore something - investigate unfamiliar code, libraries, or concepts"},    {"label": "Plan", "description": "Design/architect a solution - create implementation plans, break down complex problems"},    {"label": "Build", "description": "Implement/code something - write new features, create components, implement from a plan"},    {"label": "Fix", "description": "Debug/fix an issue - investigate and resolve bugs, debug failing tests"}  ],  "multiSelect": false}]

questions=[{  "question": "What's your primary goal for this task?",  "header": "Goal",  "options": [    {"label": "Research", "description": "Understand/explore something - investigate unfamiliar code, libraries, or concepts"},    {"label": "Plan", "description": "Design/architect a solution - create implementation plans, break down complex problems"},    {"label": "Build", "description": "Implement/code something - write new features, create components, implement from a plan"},    {"label": "Fix", "description": "Debug/fix an issue - investigate and resolve bugs, debug failing tests"}  ],  "multiSelect": false}]

If the user's intent is clear from context, you may infer the goal. Otherwise, ask explicitly using the tool above.

Step 2: Plan Detection

Before proceeding, check for existing plans:

If plans exist:

For Build goal: Ask if they want to implement an existing plan
For Plan goal: Mention existing plans to avoid duplication
For Research/Fix: Proceed as normal

Step 3: Resource Allocation

Determine how many agents to use. Use the AskUserQuestion tool:

questions=[{  "question": "How would you like me to allocate resources?",  "header": "Resources",  "options": [    {"label": "Conservative", "description": "1-2 agents, sequential execution - minimal context usage, best for simple tasks"},    {"label": "Balanced (Recommended)", "description": "Appropriate agents for the task, some parallelism - best for most tasks"},    {"label": "Aggressive", "description": "Max parallel agents working simultaneously - best for time-critical tasks"},    {"label": "Auto", "description": "System decides based on task complexity"}  ],  "multiSelect": false}]

questions=[{  "question": "How would you like me to allocate resources?",  "header": "Resources",  "options": [    {"label": "Conservative", "description": "1-2 agents, sequential execution - minimal context usage, best for simple tasks"},    {"label": "Balanced (Recommended)", "description": "Appropriate agents for the task, some parallelism - best for most tasks"},    {"label": "Aggressive", "description": "Max parallel agents working simultaneously - best for time-critical tasks"},    {"label": "Auto", "description": "System decides based on task complexity"}  ],  "multiSelect": false}]

Default to Balanced if not specified or if user selects Auto.

Step 4: Specialist Mapping

Route to the appropriate specialist based on goal:

Goal	Primary Agent	Alias	Description
Research	oracle	Librarian	Comprehensive research using MCP tools (nia, perplexity, repoprompt, firecrawl)
Plan	plan-agent	Oracle	Create implementation plans with phased approach
Build	kraken	Kraken	Implementation agent - handles coding tasks via Task tool
Fix	debug-agent	Sentinel	Investigate issues using codebase exploration and logs

Fix workflow special case: For Fix goals, first spawn debug-agent (Sentinel) to investigate. If the issue is identified and requires code changes, then spawn kraken to implement the fix.

Step 5: Confirmation

Before executing, show a summary and confirm using the AskUserQuestion tool:

First, display the execution summary:

## Execution Summary
**Goal:** [Research/Plan/Build/Fix]**Resource Allocation:** [Conservative/Balanced/Aggressive]**Agent(s) to spawn:** [agent names]
**What will happen:**- [Brief description of what the agent(s) will do]- [Expected output/deliverable]

## Execution Summary
**Goal:** [Research/Plan/Build/Fix]**Resource Allocation:** [Conservative/Balanced/Aggressive]**Agent(s) to spawn:** [agent names]
**What will happen:**- [Brief description of what the agent(s) will do]- [Expected output/deliverable]

Then use the AskUserQuestion tool for confirmation:

questions=[{  "question": "Ready to proceed with this workflow?",  "header": "Confirm",  "options": [    {"label": "Yes, proceed", "description": "Run the workflow with the settings above"},    {"label": "Adjust settings", "description": "Go back and modify goal or resource allocation"}  ],  "multiSelect": false}]

questions=[{  "question": "Ready to proceed with this workflow?",  "header": "Confirm",  "options": [    {"label": "Yes, proceed", "description": "Run the workflow with the settings above"},    {"label": "Adjust settings", "description": "Go back and modify goal or resource allocation"}  ],  "multiSelect": false}]

Wait for user confirmation before spawning agents. If user selects "Adjust settings", return to the relevant step.

Agent Spawn Examples

Research (Librarian)

Task(  subagent_type="oracle",  prompt="""  Research: [topic]
  Scope: [what to investigate]  Output: Create a handoff with findings at thoughts/handoffs/<session>/  """)

Task(  subagent_type="oracle",  prompt="""  Research: [topic]
  Scope: [what to investigate]  Output: Create a handoff with findings at thoughts/handoffs/<session>/  """)

Plan (Oracle)

Task(  subagent_type="plan-agent",  prompt="""  Create implementation plan for: [feature/task]
  Context: [relevant context]  Output: Save plan to thoughts/shared/plans/  """)

Task(  subagent_type="plan-agent",  prompt="""  Create implementation plan for: [feature/task]
  Context: [relevant context]  Output: Save plan to thoughts/shared/plans/  """)

Build (Kraken)

If plan exists: Run pre-mortem before implementation:

This identifies risks and blocks if HIGH severity issues found. User can accept, mitigate, or research solutions.

After premortem passes:

Task(  subagent_type="kraken",  prompt="""  Implement: [task]
  Plan location: [if applicable]  Tests: Run tests after implementation  """)

Task(  subagent_type="kraken",  prompt="""  Implement: [task]
  Plan location: [if applicable]  Tests: Run tests after implementation  """)

Fix (Sentinel then Kraken)

# Step 1: InvestigateTask(  subagent_type="debug-agent",  prompt="""  Investigate: [issue description]
  Symptoms: [what's failing]  Output: Diagnosis and recommended fix  """)
# Step 2: If fix identified, spawn krakenTask(  subagent_type="kraken",  prompt="""  Fix: [issue based on Sentinel's diagnosis]  """)

# Step 1: InvestigateTask(  subagent_type="debug-agent",  prompt="""  Investigate: [issue description]
  Symptoms: [what's failing]  Output: Diagnosis and recommended fix  """)
# Step 2: If fix identified, spawn krakenTask(  subagent_type="kraken",  prompt="""  Fix: [issue based on Sentinel's diagnosis]  """)

Tips

Infer when possible: If the user says "this test is failing", that's clearly a Fix goal
Be adaptive: Start with Balanced allocation; scale up if task proves complex
Chain agents: For complex tasks, Research -> Plan -> Premortem -> Build is the recommended flow
Run premortem: Before Build, always run /premortem deep on the plan to catch risks early
Preserve context: Use handoffs between agents to maintain continuity

来源与署名

来源：parcadei/continuous-claude-v3位于.claude/skills/workflow-router提交d07ff4b

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举报或申请下架

Workflow Router

Workflow Router

When to Use

Workflow Process

Step 1: Goal Selection

Step 2: Plan Detection

Step 3: Resource Allocation

Step 4: Specialist Mapping

Step 5: Confirmation

Agent Spawn Examples

Research (Librarian)

Plan (Oracle)

Build (Kraken)

Fix (Sentinel then Kraken)

Tips

来源与署名

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