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- Remove --cli-execute flag from plan.md, tdd-plan.md, task-generate-agent.md, task-generate-tdd.md - Remove --use-codex flag from test-gen.md, test-fix-gen.md, test-task-generate.md - Remove meta.use_codex from task JSON schema in action-planning-agent.md and cli-planning-agent.md - Add "Semantic CLI Tool Selection" section to action-planning-agent.md - Document explicit source: metadata.task_description from context-package.json - Update test-fix-agent.md execution mode documentation - Update action-plan-verify.md to remove use_codex validation - Sync SKILL reference copies via analyze_commands.py CLI tool usage now determined semantically from user's task description (e.g., "use Codex for implementation") instead of explicit flags. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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6.2 KiB
name, description, argument-hint, examples
| name | description | argument-hint | examples | |
|---|---|---|---|---|
| task-generate-agent | Generate implementation plan documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) using action-planning-agent - produces planning artifacts, does NOT execute code implementation | --session WFS-session-id |
|
Generate Implementation Plan Command
Overview
Generate implementation planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) using action-planning-agent. This command produces planning artifacts only - it does NOT execute code implementation. Actual code implementation requires separate execution command (e.g., /workflow:execute).
Core Philosophy
- Planning Only: Generate planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) - does NOT implement code
- Agent-Driven Document Generation: Delegate plan generation to action-planning-agent
- Progressive Loading: Load context incrementally (Core → Selective → On-Demand) due to analysis.md file size
- Two-Phase Flow: Discovery (context gathering) → Output (planning document generation)
- Memory-First: Reuse loaded documents from conversation memory
- Smart Selection: Load synthesis_output OR guidance + relevant role analyses, NOT all role analyses
- MCP-Enhanced: Use MCP tools for advanced code analysis and research
- Path Clarity: All
focus_pathsprefer absolute paths (e.g.,D:\\project\\src\\module), or clear relative paths from project root (e.g.,./src/module)
Execution Process
Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
Phase 1: Context Preparation (Command)
├─ Assemble session paths (metadata, context package, output dirs)
└─ Provide metadata (session_id, execution_mode, mcp_capabilities)
Phase 2: Planning Document Generation (Agent)
├─ Load context package (progressive loading strategy)
├─ Generate Task JSON Files (.task/IMPL-*.json)
├─ Create IMPL_PLAN.md
└─ Generate TODO_LIST.md
Document Generation Lifecycle
Phase 1: Context Preparation (Command Responsibility)
Command prepares session paths and metadata for planning document generation.
Session Path Structure:
.workflow/active/WFS-{session-id}/
├── workflow-session.json # Session metadata
├── .process/
│ └── context-package.json # Context package with artifact catalog
├── .task/ # Output: Task JSON files
├── IMPL_PLAN.md # Output: Implementation plan
└── TODO_LIST.md # Output: TODO list
Command Preparation:
-
Assemble Session Paths for agent prompt:
session_metadata_pathcontext_package_path- Output directory paths
-
Provide Metadata (simple values):
session_idmcp_capabilities(available MCP tools)
Note: CLI tool usage is now determined semantically by action-planning-agent based on user's task description, not by flags.
Phase 2: Planning Document Generation (Agent Responsibility)
Purpose: Generate IMPL_PLAN.md, task JSONs, and TODO_LIST.md - planning documents only, NOT code implementation.
Agent Invocation:
Task(
subagent_type="action-planning-agent",
description="Generate planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md)",
prompt=`
## TASK OBJECTIVE
Generate implementation planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) for workflow session
IMPORTANT: This is PLANNING ONLY - you are generating planning documents, NOT implementing code.
CRITICAL: Follow the progressive loading strategy defined in agent specification (load analysis.md files incrementally due to file size)
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/{session-id}/workflow-session.json
- Context Package: .workflow/active/{session-id}/.process/context-package.json
Output:
- Task Dir: .workflow/active/{session-id}/.task/
- IMPL_PLAN: .workflow/active/{session-id}/IMPL_PLAN.md
- TODO_LIST: .workflow/active/{session-id}/TODO_LIST.md
## CONTEXT METADATA
Session ID: {session-id}
MCP Capabilities: {exa_code, exa_web, code_index}
## CLI TOOL SELECTION
Determine CLI tool usage per-step based on user's task description:
- If user specifies "use Codex/Gemini/Qwen for X" → Add command field to relevant steps
- Default: Agent execution (no command field) unless user explicitly requests CLI
## EXPLORATION CONTEXT (from context-package.exploration_results)
- Load exploration_results from context-package.json
- Use aggregated_insights.critical_files for focus_paths generation
- Apply aggregated_insights.constraints to acceptance criteria
- Reference aggregated_insights.all_patterns for implementation approach
- Use aggregated_insights.all_integration_points for precise modification locations
- Use conflict_indicators for risk-aware task sequencing
## EXPECTED DELIVERABLES
1. Task JSON Files (.task/IMPL-*.json)
- 6-field schema (id, title, status, context_package_path, meta, context, flow_control)
- Quantified requirements with explicit counts
- Artifacts integration from context package
- **focus_paths enhanced with exploration critical_files**
- Flow control with pre_analysis steps (include exploration integration_points analysis)
2. Implementation Plan (IMPL_PLAN.md)
- Context analysis and artifact references
- Task breakdown and execution strategy
- Complete structure per agent definition
3. TODO List (TODO_LIST.md)
- Hierarchical structure (containers, pending, completed markers)
- Links to task JSONs and summaries
- Matches task JSON hierarchy
## QUALITY STANDARDS
Hard Constraints:
- Task count <= 12 (hard limit - request re-scope if exceeded)
- All requirements quantified (explicit counts and enumerated lists)
- Acceptance criteria measurable (include verification commands)
- Artifact references mapped from context package
- All documents follow agent-defined structure
## SUCCESS CRITERIA
- All planning documents generated successfully:
- Task JSONs valid and saved to .task/ directory
- IMPL_PLAN.md created with complete structure
- TODO_LIST.md generated matching task JSONs
- Return completion status with document count and task breakdown summary
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