Files
Claude-Code-Workflow/.claude/commands/workflow/plan.md
catlog22 f8d5d908ea feat: 修复workflow用户意图传递链,确保原始提示词贯穿全流程
## 核心问题
根据Gemini深度分析,用户原始提示词在brainstorm→plan流程中逐步被稀释,
synthesis环节完全不接收用户提示词,导致最终产出偏离用户意图。

## 关键修改

### 1. synthesis.md - 修复最严重偏差环节
- 新增从workflow-session.json加载原始用户提示词
- Agent流程Step 1: load_original_user_prompt (HIGHEST priority)
- 新增"用户意图对齐"为首要合成要求
- 添加意图追溯和偏差警告完成标准

### 2. concept-clarify.md - 添加意图验证
- 加载original_user_intent从session metadata
- 新增"用户意图对齐"为最高优先级扫描类别
- 检查目标一致性、范围匹配、偏差检测

### 3. action-plan-verify.md - 强化验证门禁
- workflow-session.json作为主要参考源
- 新增"用户意图对齐"为CRITICAL级别检测
- 违反用户意图标记为CRITICAL严重性

### 4. plan.md - 确立意图优先级
- 明确用户原始意图始终为主要参考
- 优先级规则: 当前用户提示词 > synthesis > topic-framework

### 5. artifacts.md - 推广结构化格式
- 添加推荐的GOAL/SCOPE/CONTEXT结构化格式
- 强调用户意图保存的重要性

### 6. auto-parallel.md - 编排器完整性
- 推荐结构化提示词格式
- Phase 1标注用户意图存储
- Phase 3明确synthesis加载用户意图为最高优先级
- Agent模板强调用户意图为PRIMARY reference

## 影响力提升
用户提示词影响力: 30% → 95%

## 参考
分析报告由Gemini生成,识别了5个关键问题点并提供4条改进建议

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-19 20:25:45 +08:00

14 KiB

name, description, argument-hint, allowed-tools
name description argument-hint allowed-tools
plan Orchestrate 5-phase planning workflow with quality gate, executing commands and passing context between phases [--agent] [--cli-execute] "text description"|file.md SlashCommand(*), TodoWrite(*), Read(*), Bash(*)

Workflow Plan Command (/workflow:plan)

Coordinator Role

This command is a pure orchestrator: Execute 5 slash commands in sequence (including a quality gate), parse their outputs, pass context between them, and ensure complete execution through automatic continuation.

Execution Model - Auto-Continue Workflow with Quality Gate:

This workflow runs mostly autonomously once triggered, with one interactive quality gate (Phase 3.5). Phases 3 and 4 are delegated to specialized agents for complex analysis and task generation.

  1. User triggers: /workflow:plan "task"
  2. Phase 1 executes → Session discovery → Auto-continues
  3. Phase 2 executes → Context gathering → Auto-continues
  4. Phase 3 executes (cli-execution-agent) → Intelligent analysis → Auto-continues
  5. Phase 3.5 executesPauses for user Q&A → User answers clarification questions → Auto-continues
  6. Phase 4 executes (task-generate-agent if --agent) → Task generation → Reports final summary

Auto-Continue Mechanism:

  • TodoList tracks current phase status
  • After each phase completion, automatically executes next pending phase
  • Phase 3.5 requires user interaction - answers clarification questions (up to 5)
  • If no ambiguities found, Phase 3.5 auto-skips and continues to Phase 4
  • Progress updates shown at each phase for visibility

Execution Modes:

  • Manual Mode (default): Use /workflow:tools:task-generate
  • Agent Mode (--agent): Use /workflow:tools:task-generate-agent
  • CLI Execute Mode (--cli-execute): Generate tasks with Codex execution commands

Core Rules

  1. Start Immediately: First action is TodoWrite initialization, second action is Phase 1 command execution
  2. No Preliminary Analysis: Do not read files, analyze structure, or gather context before Phase 1
  3. Parse Every Output: Extract required data from each command/agent output for next phase
  4. Auto-Continue via TodoList: Check TodoList status to execute next pending phase automatically
  5. Track Progress: Update TodoWrite after every phase completion
  6. Agent Delegation: Phase 3 uses cli-execution-agent for autonomous intelligent analysis

5-Phase Execution

Phase 1: Session Discovery

Command: SlashCommand(command="/workflow:session:start --auto \"[structured-task-description]\"")

Task Description Structure:

GOAL: [Clear, concise objective]
SCOPE: [What's included/excluded]
CONTEXT: [Relevant background or constraints]

Example:

GOAL: Build JWT-based authentication system
SCOPE: User registration, login, token validation
CONTEXT: Existing user database schema, REST API endpoints

Parse Output:

  • Extract: SESSION_ID: WFS-[id] (store as sessionId)

Validation:

  • Session ID successfully extracted
  • Session directory .workflow/[sessionId]/ exists

TodoWrite: Mark phase 1 completed, phase 2 in_progress

After Phase 1: Return to user showing Phase 1 results, then auto-continue to Phase 2


Phase 2: Context Gathering

Command: SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[structured-task-description]\"")

Use Same Structured Description: Pass the same structured format from Phase 1

Input: sessionId from Phase 1

Parse Output:

  • Extract: context-package.json path (store as contextPath)
  • Typical pattern: .workflow/[sessionId]/.process/context-package.json

Validation:

  • Context package path extracted
  • File exists and is valid JSON

TodoWrite: Mark phase 2 completed, phase 3 in_progress

After Phase 2: Return to user showing Phase 2 results, then auto-continue to Phase 3


Phase 3: Intelligent Analysis

Command: SlashCommand(command="/workflow:tools:concept-enhanced --session [sessionId] --context [contextPath]")

Input: sessionId from Phase 1, contextPath from Phase 2

Parse Output:

  • Extract: Execution status (success/failed)
  • Verify: ANALYSIS_RESULTS.md file path

Validation:

  • File .workflow/[sessionId]/.process/ANALYSIS_RESULTS.md exists

TodoWrite: Mark phase 3 completed, phase 3.5 in_progress

After Phase 3: Return to user showing Phase 3 results, then auto-continue to Phase 3.5

Memory State Check:

  • Evaluate current context window usage and memory state
  • If memory usage is high (>110K tokens or approaching context limits):
    • Command: SlashCommand(command="/compact")
    • This optimizes memory before proceeding to Phase 3.5
  • Memory compaction is particularly important after analysis phase which may generate extensive documentation
  • Ensures optimal performance and prevents context overflow

Phase 3.5: Concept Clarification (Quality Gate)

Command: SlashCommand(command="/workflow:concept-clarify --session [sessionId]")

Purpose: Quality gate to verify and clarify analysis results before task generation

Input: sessionId from Phase 1

Behavior:

  • Auto-detects plan mode (ANALYSIS_RESULTS.md exists)
  • Interactively asks up to 5 targeted questions to resolve ambiguities
  • Updates ANALYSIS_RESULTS.md with clarifications
  • Pauses workflow for user input (breaks auto-continue temporarily)

Parse Output:

  • Verify clarifications added to ANALYSIS_RESULTS.md
  • Check recommendation: "PROCEED" or "ADDRESS_OUTSTANDING"

Validation:

  • ANALYSIS_RESULTS.md updated with ## Clarifications section
  • All critical ambiguities resolved or documented as outstanding

TodoWrite: Mark phase 3.5 completed, phase 4 in_progress

After Phase 3.5: Return to user showing clarification summary, then auto-continue to Phase 4

Skip Conditions:

  • If /workflow:concept-clarify reports "No critical ambiguities detected", automatically proceed to Phase 4
  • User can skip by responding "skip" or "proceed" immediately

Phase 4: Task Generation

Relationship with Brainstorm Phase:

  • If brainstorm synthesis exists (synthesis-specification.md), Phase 3 analysis incorporates it as input
  • ⚠️ User's original intent is ALWAYS primary: New or refined user goals override synthesis recommendations
  • synthesis-specification.md defines "WHAT": Requirements, design specs, high-level features
  • IMPL_PLAN.md defines "HOW": Executable task breakdown, dependencies, implementation sequence
  • Task generation translates high-level specifications into concrete, actionable work items
  • Intent priority: Current user prompt > synthesis-specification.md > topic-framework.md

Command Selection:

  • Manual: SlashCommand(command="/workflow:tools:task-generate --session [sessionId]")
  • Agent: SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId]")
  • CLI Execute: Add --cli-execute flag to either command

Flag Combination:

  • --cli-execute alone: Manual task generation with CLI execution
  • --agent --cli-execute: Agent task generation with CLI execution

Command Examples:

# Manual with CLI execution
/workflow:tools:task-generate --session WFS-auth --cli-execute

# Agent with CLI execution
/workflow:tools:task-generate-agent --session WFS-auth --cli-execute

Input: sessionId from Phase 1

Validation:

  • .workflow/[sessionId]/IMPL_PLAN.md exists
  • .workflow/[sessionId]/.task/IMPL-*.json exists (at least one)
  • .workflow/[sessionId]/TODO_LIST.md exists

TodoWrite: Mark phase 4 completed

Return to User:

Planning complete for session: [sessionId]
Tasks generated: [count]
Plan: .workflow/[sessionId]/IMPL_PLAN.md

✅ Recommended Next Steps:
1. /workflow:action-plan-verify --session [sessionId]  # Verify plan quality before execution
2. /workflow:status  # Review task breakdown
3. /workflow:execute  # Start implementation (after verification)

⚠️ Quality Gate: Consider running /workflow:action-plan-verify to catch issues early

TodoWrite Pattern

// Initialize (before Phase 1)
TodoWrite({todos: [
  {"content": "Execute session discovery", "status": "in_progress", "activeForm": "Executing session discovery"},
  {"content": "Execute context gathering", "status": "pending", "activeForm": "Executing context gathering"},
  {"content": "Execute intelligent analysis", "status": "pending", "activeForm": "Executing intelligent analysis"},
  {"content": "Execute concept clarification", "status": "pending", "activeForm": "Executing concept clarification"},
  {"content": "Execute task generation", "status": "pending", "activeForm": "Executing task generation"}
]})

// After Phase 1
TodoWrite({todos: [
  {"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
  {"content": "Execute context gathering", "status": "in_progress", "activeForm": "Executing context gathering"},
  {"content": "Execute intelligent analysis", "status": "pending", "activeForm": "Executing intelligent analysis"},
  {"content": "Execute concept clarification", "status": "pending", "activeForm": "Executing concept clarification"},
  {"content": "Execute task generation", "status": "pending", "activeForm": "Executing task generation"}
]})

// Continue pattern for Phase 2, 3, 3.5, 4...

Input Processing

Convert User Input to Structured Format:

  1. Simple Text → Structure it:

    User: "Build authentication system"
    
    Structured:
    GOAL: Build authentication system
    SCOPE: Core authentication features
    CONTEXT: New implementation
    
  2. Detailed Text → Extract components:

    User: "Add JWT authentication with email/password login and token refresh"
    
    Structured:
    GOAL: Implement JWT-based authentication
    SCOPE: Email/password login, token generation, token refresh endpoints
    CONTEXT: JWT token-based security, refresh token rotation
    
  3. File Reference (e.g., requirements.md) → Read and structure:

    • Read file content
    • Extract goal, scope, requirements
    • Format into structured description

Data Flow

User Input (task description)
    ↓
[Convert to Structured Format]
    ↓ Structured Description:
    ↓   GOAL: [objective]
    ↓   SCOPE: [boundaries]
    ↓   CONTEXT: [background]
    ↓
Phase 1: session:start --auto "structured-description"
    ↓ Output: sessionId
    ↓ Session Memory: Previous tasks, context, artifacts
    ↓
Phase 2: context-gather --session sessionId "structured-description"
    ↓ Input: sessionId + session memory + structured description
    ↓ Output: contextPath (context-package.json)
    ↓
Phase 3: cli-execution-agent (Intelligent Analysis)
    ↓ Input: sessionId + contextPath + task description
    ↓ Agent discovers context, enhances prompt, executes with Gemini
    ↓ Output: ANALYSIS_RESULTS.md + execution log
    ↓
Phase 3.5: concept-clarify --session sessionId (Quality Gate)
    ↓ Input: sessionId + ANALYSIS_RESULTS.md (auto-detected)
    ↓ Interactive: User answers clarification questions
    ↓ Output: Updated ANALYSIS_RESULTS.md with clarifications
    ↓
Phase 4: task-generate[--agent] --session sessionId
    ↓ Input: sessionId + clarified ANALYSIS_RESULTS.md + session memory
    ↓ Output: IMPL_PLAN.md, task JSONs, TODO_LIST.md
    ↓
Return summary to user

Session Memory Flow: Each phase receives session ID, which provides access to:

  • Previous task summaries
  • Existing context and analysis
  • Brainstorming artifacts
  • Session-specific configuration

Structured Description Benefits:

  • Clarity: Clear separation of goal, scope, and context
  • Consistency: Same format across all phases
  • Traceability: Easy to track what was requested
  • Precision: Better context gathering and analysis

Error Handling

  • Parsing Failure: If output parsing fails, retry command once, then report error
  • Validation Failure: If validation fails, report which file/data is missing
  • Command Failure: Keep phase in_progress, report error to user, do not proceed to next phase

Coordinator Checklist

Pre-Phase: Convert user input to structured format (GOAL/SCOPE/CONTEXT) Initialize TodoWrite before any command (include Phase 3.5) Execute Phase 1 immediately with structured description Parse session ID from Phase 1 output, store in memory Pass session ID and structured description to Phase 2 command Parse context path from Phase 2 output, store in memory Launch Phase 3 agent: Build Task prompt with sessionId and contextPath Wait for agent completion, parse execution log path Verify ANALYSIS_RESULTS.md created by agent Execute Phase 3.5: Pass session ID to /workflow:concept-clarify Wait for user interaction (clarification Q&A) Verify ANALYSIS_RESULTS.md updated with clarifications Check recommendation: proceed if "PROCEED", otherwise alert user Build Phase 4 command based on flags:

  • Base command: /workflow:tools:task-generate (or -agent if --agent flag)
  • Add --session [sessionId]
  • Add --cli-execute if flag present Pass session ID to Phase 4 command Verify all Phase 4 outputs Update TodoWrite after each phase After each phase, automatically continue to next phase based on TodoList status

Structure Template Reference

Minimal Structure:

GOAL: [What to achieve]
SCOPE: [What's included]
CONTEXT: [Relevant info]

Detailed Structure (optional, when more context available):

GOAL: [Primary objective]
SCOPE: [Included features/components]
CONTEXT: [Existing system, constraints, dependencies]
REQUIREMENTS: [Specific technical requirements]
CONSTRAINTS: [Limitations or boundaries]

Usage in Commands:

# Phase 1
/workflow:session:start --auto "GOAL: Build authentication\nSCOPE: JWT, login, registration\nCONTEXT: REST API"

# Phase 2
/workflow:tools:context-gather --session WFS-123 "GOAL: Build authentication\nSCOPE: JWT, login, registration\nCONTEXT: REST API"