codex-code-reviewer
Systematic code review workflow using zen mcp's codex tool. Use this skill when the user explicitly requests "use codex to check…
Method clarity-driven planning workflow using zen-mcp tools (chat, planner, consensus). Phase 0 uses chat to judge if user provides clear implementation method. Four execution paths based on automation_mode × method clarity - Interactive/Automatic × Clear/Unclear. All paths
$ npx -y skills add VCnoC/Claude-Code-Zen-mcp-Skill-Work --skill plan-down --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/plan-downContext preview
The summary Claude sees to decide when to auto-load this skill.
Method clarity-driven planning workflow using zen-mcp tools (chat, planner, consensus). Phase 0 uses chat to judge if user provides clear implementation method. Four execution paths based on automation_mode × method clarity - Interactive/Automatic × Clear/Unclear. All paths
name: plan-down description: Method clarity-driven planning workflow using zen-mcp tools (chat, planner, consensus). Phase 0 uses chat to judge if user provides clear implementation method. Four execution paths based on automation_mode × method clarity - Interactive/Automatic × Clear/Unclear. All paths converge at planner for task decomposition. Produces complete plan.md file. Use when user requests "create a plan", "generate plan.md", "use planner for planning", "help me with task decomposition", or similar planning tasks.
This skill provides a comprehensive method clarity-driven planning workflow that intelligently adapts to both user interaction preference (Interactive/Automatic) and implementation method clarity (Clear/Unclear).
**Core Innovation:** Uses zen-mcp chat as decision module to assess whether user provides a "clear implementation method" before planning.
**Four Execution Paths:** 1. **Interactive + Clear**: Direct planning with user approval 2. **Interactive + Unclear**: Multi-round dialogue to clarify method, then plan 3. **Automatic + Clear**: Fully automated planning 4. **Automatic + Unclear**: AI chain (clink → chat → consensus) to enrich method, then plan
The final output is a complete `plan.md` file ready for implementation.
**Technical Architecture:**
**New Four-Path Workflow:**
User Request → Phase 0 (chat: Method Clear?) → [Conditional Phase 1] → Phase 2 (planner) → Phase 3 (plan.md)
↓ ↓
Clear / Unclear Clear: Skip to Phase 2
Unclear: Phase 1 (Clarify/Enrich)
↓
Interactive: Dialogue with user
Automatic: clink → chat → consensus**Division of Responsibilities:**
**Phase 0 (Method Clarity Assessment - ALWAYS):**
**Phase 1 (Method Clarification/Enrichment - CONDITIONAL):**
**Phase 2 (Task Decomposition - ALL PATHS CONVERGE):**
**Phase 3 (Final Plan Generation - ALL PATHS):**
Trigger this skill when the user requests:
**Use Cases:**
automation_mode definition and constraints: See CLAUDE.md「📚 共享概念速查」
**This skill's role**: Skill Layer (read-only), read from context `[AUTOMATION_MODE: true/false]`
flowchart TD
Start[User Request] --> Read[Read automation_mode from context]
Read --> Judge{Use chat to judge:<br/>Method Clear?}
Judge -->|Clear| Clear[Method Clear]
Judge -->|Unclear| Unclear[Method Unclear]
Clear --> CheckMode1{automation_mode?}
Unclear --> CheckMode2{automation_mode?}
CheckMode1 -->|false| Path1[Interactive + Clear:<br/>planner → plan.md]
CheckMode1 -->|true| Path2[Automatic + Clear:<br/>planner → plan.md]
CheckMode2 -->|false| Path3[Interactive + Unclear:<br/>chat dialogue → planner → plan.md]
CheckMode2 -->|true| Path4[Automatic + Unclear:<br/>clink → chat → consensus → planner → plan.md]
Path1 --> End[Final plan.md]
Path2 --> End
Path3 --> End
Path4 --> End**Main Claude's Action:**
1. **automation_mode check**: `[AUTOMATION_MODE: false]` → Interactive / `true` → Automated
2. **Gather Initial Context:**
**a) Read Global Standards (CRITICAL):**
**b) Read Project-Specific Standards (if exist):**
**c) Read Project Documentation:**
**Standards Priority (when conflicts):** 1. Global CLAUDE.md (highest priority) 2. Project CLAUDE.md 5. PROJECTWIKI.md
3. **Invoke zen-mcp chat to assess method clarity:**
Tool: mcp__zen__chat
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