- Update agent role definitions with clearer responsibilities and capabilities - Refine task execution workflows with improved context gathering protocols - Enhance tool implementation guide with better command examples - Streamline workflow architecture documentation for better clarity 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Workflow Plan Command (/workflow:plan)
Overview
Creates actionable implementation plans with intelligent input source detection. Supports text, files, issues, and templates through automatic recognition.
Core Principles
File Structure: @~/.claude/workflows/workflow-architecture.md
Usage
/workflow:plan [--AM gemini|codex] <input>
Analysis Method Flag (--AM)
Optional flag to specify which CLI tool to use for context analysis:
- gemini (default): Uses Gemini CLI for pattern-based analysis, architectural understanding, and broader context acquisition
- codex: Uses Codex CLI for autonomous development context gathering with intelligent file discovery
Examples:
/workflow:plan --AM codex "Build authentication system"
/workflow:plan --AM gemini requirements.md
Input Detection Logic
The command automatically detects input type:
File Input (Auto-detected)
/workflow:plan requirements.md
/workflow:plan config.json
Triggers: Extensions: .md, .txt, .json, .yaml, .yml Processing: Reads file contents and extracts requirements
Issue Input (Auto-detected)
/workflow:plan ISS-001
/workflow:plan ISSUE-123
Triggers: Patterns: ISS-, ISSUE-, -request- Processing: Loads issue data and acceptance criteria
Text Input (Default)
/workflow:plan "Build user authentication with JWT and OAuth2"
Triggers: Everything else Processing: Parse natural language requirements
Automatic Behaviors
Session Management
- Creates new session if none exists
- Uses active session if available
- Generates session ID: WFS-[topic-slug]
Pre-Planning Analysis
⚠️ CRITICAL: Determine decomposition strategy BEFORE generating any plan documents
Required Pre-Analysis Steps:
- Complexity Assessment: Analyze requirements to determine total saturated task count
- Decomposition Strategy: Based on complexity, decide:
- Task structure (flat vs hierarchical)
- Subtask necessity (>15 tasks triggers decomposition)
- Task saturation level (merged vs separated)
- Quantity Prediction: Calculate expected:
- Total main tasks (IMPL-XXX)
- Subtasks per main task (impl-N.M)
- Container vs leaf task ratio
Pre-Planning Outputs:
- Complexity level: Simple (≤8) | Medium (9-15) | Complex (>15)
- Decomposition approach: Flat | Two-level hierarchy
- Estimated task count: [number] main tasks, [number] total leaf tasks
- Document set: Which documents will be generated (IMPL_PLAN.md, TODO_LIST.md, .task/*.json)
Only after completing pre-planning analysis: Proceed to generate actual plan documents
Complexity Detection with Saturation
Based on Pre-Planning Analysis results:
- Simple: ≤8 saturated tasks → Direct IMPL_PLAN.md
- Medium: 9-15 saturated tasks → IMPL_PLAN.md + TODO_LIST.md
- Complex: >15 saturated tasks → Full decomposition
Note: 1 complex preparation task = 0.5 saturated task for counting
Task Granularity Principles
- Decompose by function, not by file: Each task should complete a whole functional unit
- Maintain functional integrity: Each task produces independently runnable or testable functionality
- Implement related components together: UI, logic, tests and other related parts in the same task
- Avoid technical step decomposition: Don't make "create file" or "add function" as separate tasks
Task Decomposition Anti-patterns
❌ Wrong Example - File/Step-based Decomposition:
- IMPL-001: Create database model
- IMPL-002: Create API endpoint
- IMPL-003: Create frontend component
- IMPL-004: Add routing configuration
- IMPL-005: Write unit tests
✅ Correct Example - Function-based Decomposition:
- IMPL-001: Implement user authentication feature (includes model, API, UI, tests)
- IMPL-002: Implement data export functionality (includes processing logic, UI, file generation)
Task Generation with Saturation Control
Using decomposition strategy determined in Pre-Planning Analysis:
- Task Saturation Assessment: Evaluates whether to merge preparation and execution
- Default merge mode: "Analyze and implement X" instead of "Analyze X" + "Implement X"
- Smart splitting: Only separate when preparation complexity > threshold
- Automatically creates .task/ files when complexity warrants
- Generates hierarchical task structure (max 2 levels)
- Main tasks with subtasks become container tasks (not directly executable)
- Updates session state with task references
- Runs project structure analysis to populate paths field
Project Analysis Options
Three analysis levels available:
# Quick - Structure only (5 seconds)
/workflow:plan "requirements"
# Standard - Structure + Gemini analysis (30 seconds)
/workflow:plan --analyze "requirements"
# Deep - Structure + Parallel comprehensive analysis (1-2 minutes)
/workflow:plan --deep "requirements"
Analysis Selection:
- Default: Auto-selects based on project complexity
- Manual: Use flags to override automatic selection
- Strategy: See @~/.claude/workflows/intelligent-tools-strategy.md for tool selection principles
Execution:
- Always runs
get_modules_by_depth.shfor structure - Applies selected analysis level
- Populates task paths automatically
Task Saturation Assessment
Evaluates whether to merge preparation and execution:
Default Merge Principles (Saturated Tasks):
- All components of the same functional module
- Frontend and backend paired implementation
- Features with their corresponding tests
- Configuration with its usage code
- Multiple small interdependent functions
Only Separate Tasks When:
- Completely independent functional modules (no shared code)
- Independent services with different tech stacks (e.g., separate frontend/backend deployment)
- Modules requiring different expertise (e.g., ML model training vs Web development)
- Large features with clear sequential dependencies
Task Examples:
- Merged Example: "IMPL-001: Implement user authentication system (includes JWT management, API endpoints, UI components, and tests)"
- Separated Example: "IMPL-001: Design cross-service authentication architecture" + "IMPL-002: Implement frontend authentication module" + "IMPL-003: Implement backend authentication service"
Task Breakdown Process
- Automatic decomposition: Only when task count >15 are tasks broken into subtasks (impl-N.M format)
- Function-based decomposition: Split by independent functional boundaries, not by technical layers
- Container tasks: Parent tasks with subtasks become containers (marked with ▸ in TODO_LIST)
- Smart decomposition: AI analyzes task title to suggest logical functional subtask structure
- Complete unit principle: Each subtask must still represent a complete functional unit
- Context inheritance: Subtasks inherit parent's requirements and scope, refined for specific needs
- Agent assignment: Automatic agent mapping based on subtask type (planning/code/test/review)
- Maximum depth: 2 levels (impl-N.M) to maintain manageable hierarchy
Implementation Field Requirements
- pre_analysis: Multi-step analysis configuration array containing:
action: Brief 2-3 word description (e.g., "analyze patterns", "review security") - agent expands based on contexttemplate: Full template path (e.g., "~/.claude/workflows/cli-templates/prompts/analysis/pattern.txt")method: Analysis method ("manual"|"auto-detected"|"gemini"|"codex")- Agent Behavior: Agents interpret brief actions and expand them into comprehensive analysis tasks
- Execution: Steps processed sequentially, results accumulated for comprehensive context
- Auto-assignment: Defaults to appropriate multi-step configuration based on complexity
- Required fields: files (with path/location/modifications), context_notes, pre_analysis
- Paths format: Semicolon-separated list (e.g., "src/auth;tests/auth;config/auth.json")
Session Check Process
⚠️ CRITICAL: Check for existing active session before planning
- Check Active Session: Check for
.workflow/.active-*marker file - Session Selection: Use existing active session or create new
- Context Integration: Load session state and existing context
Output Documents
Document References for Execution
Primary References
-
Planning Document:
.workflow/WFS-[topic-slug]/IMPL_PLAN.md- Used by:
/workflow:executefor context loading - Contains: Requirements, task overview, success criteria
- Used by:
-
Task Definitions:
.workflow/WFS-[topic-slug]/.task/impl-*.json- Used by: Agents for implementation context
- Contains: Complete task details with implementation field including preparation_complexity
-
Progress Tracking:
.workflow/WFS-[topic-slug]/TODO_LIST.md- Used by:
/workflow:executefor status tracking - Updated by: Agents after task completion
- Used by:
IMPL_PLAN.md (Always Created)
# Implementation Plan - [Project Name]
*Generated from: [input_source]*
## Requirements
[Extracted requirements from input source]
## Task Breakdown
- **IMPL-001**: [Saturated task description with merged preparation and execution]
- **IMPL-002**: [Task description]
## Success Criteria
[Measurable completion conditions]
Optional TODO_LIST.md (Auto-triggered)
Created when complexity > simple or task count > 5
TODO_LIST Structure: Uses unified hierarchical list format
- Container tasks (with subtasks) marked with
▸symbol - Leaf tasks use standard
- [ ]/- [x]checkboxes - Indentation shows hierarchy (2 spaces per level)
- Container tasks represent logical grouping, not executable items
Task JSON Files (Auto-created)
Generated in .task/ directory when decomposition enabled
Error Handling
Input Processing Errors
- File not found: Clear error message with suggestions
- Invalid issue: Verify issue ID exists
- Unknown template: List available templates
- Empty input: Prompt for valid input
- Vague text input: Auto-reject without guidance
- Rejected examples: "do something", "fix it", "make it better", "add feature"
- Response: Direct rejection message, no further assistance
Recommended Task Patterns
Complete Feature Implementation
"Implement user management system" - includes CRUD operations, permissions, UI components, API endpoints, and tests
End-to-End Features
"Add Excel export functionality" - includes data processing, file generation, download API, UI buttons, and error handling
System Integration
"Integrate payment gateway" - includes API integration, order processing, payment flows, webhook handling, and testing
Problem Resolution
"Fix and optimize search functionality" - includes bug fixes, performance optimization, UI improvements, and related tests
Module Development
"Create notification system" - includes email/SMS sending, template management, subscription handling, and admin interface
System ensures: Unified planning interface with intelligent input detection and function-based task granularity