mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-15 02:42:45 +08:00
feat: convert lite-plan and multi-cli-plan commands to orchestrator+phases skills
Convert workflow commands to unified skill structure with thin router pattern: - workflow-lite-plan: routes lite-plan + lite-execute with prompt enhancement - workflow-multi-cli-plan: routes multi-cli-plan + lite-execute with prompt enhancement Both preserve original command content verbatim in phase files.
This commit is contained in:
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# Phase 1: Multi-CLI Collaborative Planning
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Complete multi-CLI collaborative planning pipeline with ACE context gathering and iterative cross-verification. This phase document preserves the full content of the original `workflow:multi-cli-plan` command.
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> **Source**: Converted from `.claude/commands/workflow/multi-cli-plan.md`. Frontmatter moved to SKILL.md.
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## Auto Mode
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When `--yes` or `-y`: Auto-approve plan, use recommended solution and execution method (Agent, Skip review).
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# Multi-CLI Collaborative Planning Command
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## Quick Start
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```bash
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# Basic usage
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/workflow:multi-cli-plan "Implement user authentication"
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# With options
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/workflow:multi-cli-plan "Add dark mode support" --max-rounds=3
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/workflow:multi-cli-plan "Refactor payment module" --tools=gemini,codex,claude
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/workflow:multi-cli-plan "Fix memory leak" --mode=serial
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```
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**Context Source**: ACE semantic search + Multi-CLI analysis
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**Output Directory**: `.workflow/.multi-cli-plan/{session-id}/`
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**Default Max Rounds**: 3 (convergence may complete earlier)
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**CLI Tools**: @cli-discuss-agent (analysis), @cli-lite-planning-agent (plan generation)
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**Execution**: Auto-hands off to `/workflow:lite-execute --in-memory` after plan approval
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## What & Why
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### Core Concept
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Multi-CLI collaborative planning with **three-phase architecture**: ACE context gathering → Iterative multi-CLI discussion → Plan generation. Orchestrator delegates analysis to agents, only handles user decisions and session management.
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**Process**:
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- **Phase 1**: ACE semantic search gathers codebase context
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- **Phase 2**: cli-discuss-agent orchestrates Gemini/Codex/Claude for cross-verified analysis
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- **Phase 3-5**: User decision → Plan generation → Execution handoff
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**vs Single-CLI Planning**:
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- **Single**: One model perspective, potential blind spots
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- **Multi-CLI**: Cross-verification catches inconsistencies, builds consensus on solutions
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### Value Proposition
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1. **Multi-Perspective Analysis**: Gemini + Codex + Claude analyze from different angles
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2. **Cross-Verification**: Identify agreements/disagreements, build confidence
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3. **User-Driven Decisions**: Every round ends with user decision point
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4. **Iterative Convergence**: Progressive refinement until consensus reached
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### Orchestrator Boundary (CRITICAL)
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- **ONLY command** for multi-CLI collaborative planning
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- Manages: Session state, user decisions, agent delegation, phase transitions
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- Delegates: CLI execution to @cli-discuss-agent, plan generation to @cli-lite-planning-agent
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### Execution Flow
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```
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Phase 1: Context Gathering
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└─ ACE semantic search, extract keywords, build context package
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Phase 2: Multi-CLI Discussion (Iterative, via @cli-discuss-agent)
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├─ Round N: Agent executes Gemini + Codex + Claude
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├─ Cross-verify findings, synthesize solutions
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├─ Write synthesis.json to rounds/{N}/
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└─ Loop until convergence or max rounds
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Phase 3: Present Options
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└─ Display solutions with trade-offs from agent output
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Phase 4: User Decision
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├─ Select solution approach
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├─ Select execution method (Agent/Codex/Auto)
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├─ Select code review tool (Skip/Gemini/Codex/Agent)
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└─ Route:
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├─ Approve → Phase 5
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├─ Need More Analysis → Return to Phase 2
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└─ Cancel → Save session
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Phase 5: Plan Generation & Execution Handoff
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├─ Generate plan.json + .task/*.json (via @cli-lite-planning-agent, two-layer output)
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├─ Build executionContext with user selections and taskFiles
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└─ Execute to /workflow:lite-execute --in-memory
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```
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### Agent Roles
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| Agent | Responsibility |
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|-------|---------------|
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| **Orchestrator** | Session management, ACE context, user decisions, phase transitions, executionContext assembly |
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| **@cli-discuss-agent** | Multi-CLI execution (Gemini/Codex/Claude), cross-verification, solution synthesis, synthesis.json output |
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| **@cli-lite-planning-agent** | Task decomposition, two-layer output: plan.json (overview with task_ids[]) + .task/*.json (task files) |
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## Core Responsibilities
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### Phase 1: Context Gathering
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**Session Initialization**:
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```javascript
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const sessionId = `MCP-${taskSlug}-${date}`
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const sessionFolder = `.workflow/.multi-cli-plan/${sessionId}`
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Bash(`mkdir -p ${sessionFolder}/rounds`)
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```
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**ACE Context Queries**:
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```javascript
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const aceQueries = [
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`Project architecture related to ${keywords}`,
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`Existing implementations of ${keywords[0]}`,
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`Code patterns for ${keywords} features`,
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`Integration points for ${keywords[0]}`
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]
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// Execute via mcp__ace-tool__search_context
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```
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**Context Package** (passed to agent):
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- `relevant_files[]` - Files identified by ACE
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- `detected_patterns[]` - Code patterns found
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- `architecture_insights` - Structure understanding
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### Phase 2: Agent Delegation
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**Core Principle**: Orchestrator only delegates and reads output - NO direct CLI execution.
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**⚠️ CRITICAL - CLI EXECUTION REQUIREMENT**:
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- **MUST** execute CLI calls via `Bash` with `run_in_background: true`
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- **MUST** wait for hook callback to receive complete results
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- **MUST NOT** proceed with next phase until CLI execution fully completes
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- Do NOT use `TaskOutput` polling during CLI execution - wait passively for results
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- Minimize scope: Proceed only when 100% result available
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**Agent Invocation**:
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```javascript
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Task({
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subagent_type: "cli-discuss-agent",
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run_in_background: false,
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description: `Discussion round ${currentRound}`,
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prompt: `
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## Input Context
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- task_description: ${taskDescription}
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- round_number: ${currentRound}
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- session: { id: "${sessionId}", folder: "${sessionFolder}" }
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- ace_context: ${JSON.stringify(contextPackageage)}
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- previous_rounds: ${JSON.stringify(analysisResults)}
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- user_feedback: ${userFeedback || 'None'}
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- cli_config: { tools: ["gemini", "codex"], mode: "parallel", fallback_chain: ["gemini", "codex", "claude"] }
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## Execution Process
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1. Parse input context (handle JSON strings)
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2. Check if ACE supplementary search needed
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3. Build CLI prompts with context
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4. Execute CLIs (parallel or serial per cli_config.mode)
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5. Parse CLI outputs, handle failures with fallback
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6. Perform cross-verification between CLI results
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7. Synthesize solutions, calculate scores
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8. Calculate convergence, generate clarification questions
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9. Write synthesis.json
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## Output
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Write: ${sessionFolder}/rounds/${currentRound}/synthesis.json
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## Completion Checklist
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- [ ] All configured CLI tools executed (or fallback triggered)
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- [ ] Cross-verification completed with agreements/disagreements
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- [ ] 2-3 solutions generated with file:line references
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- [ ] Convergence score calculated (0.0-1.0)
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- [ ] synthesis.json written with all Primary Fields
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`
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})
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```
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**Read Agent Output**:
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```javascript
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const synthesis = JSON.parse(Read(`${sessionFolder}/rounds/${round}/synthesis.json`))
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// Access top-level fields: solutions, convergence, cross_verification, clarification_questions
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```
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**Convergence Decision**:
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```javascript
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if (synthesis.convergence.recommendation === 'converged') {
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// Proceed to Phase 3
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} else if (synthesis.convergence.recommendation === 'user_input_needed') {
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// Collect user feedback, return to Phase 2
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} else {
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// Continue to next round if new_insights && round < maxRounds
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}
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```
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### Phase 3: Present Options
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**Display from Agent Output** (no processing):
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```javascript
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console.log(`
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## Solution Options
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${synthesis.solutions.map((s, i) => `
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**Option ${i+1}: ${s.name}**
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Source: ${s.source_cli.join(' + ')}
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Effort: ${s.effort} | Risk: ${s.risk}
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Pros: ${s.pros.join(', ')}
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Cons: ${s.cons.join(', ')}
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Files: ${s.affected_files.slice(0,3).map(f => `${f.file}:${f.line}`).join(', ')}
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`).join('\n')}
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## Cross-Verification
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Agreements: ${synthesis.cross_verification.agreements.length}
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Disagreements: ${synthesis.cross_verification.disagreements.length}
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`)
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```
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### Phase 4: User Decision
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**Decision Options**:
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```javascript
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AskUserQuestion({
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questions: [
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{
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question: "Which solution approach?",
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header: "Solution",
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multiSelect: false,
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options: solutions.map((s, i) => ({
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label: `Option ${i+1}: ${s.name}`,
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description: `${s.effort} effort, ${s.risk} risk`
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})).concat([
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{ label: "Need More Analysis", description: "Return to Phase 2" }
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])
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},
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{
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question: "Execution method:",
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header: "Execution",
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multiSelect: false,
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options: [
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{ label: "Agent", description: "@code-developer agent" },
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{ label: "Codex", description: "codex CLI tool" },
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{ label: "Auto", description: "Auto-select based on complexity" }
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]
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},
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{
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question: "Code review after execution?",
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header: "Review",
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multiSelect: false,
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options: [
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{ label: "Skip", description: "No review" },
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{ label: "Gemini Review", description: "Gemini CLI tool" },
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{ label: "Codex Review", description: "codex review --uncommitted" },
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{ label: "Agent Review", description: "Current agent review" }
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]
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}
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]
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})
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```
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**Routing**:
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- Approve + execution method → Phase 5
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- Need More Analysis → Phase 2 with feedback
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- Cancel → Save session for resumption
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### Phase 5: Plan Generation & Execution Handoff
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**Step 1: Build Context-Package** (Orchestrator responsibility):
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```javascript
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// Extract key information from user decision and synthesis
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const contextPackage = {
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// Core solution details
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solution: {
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name: selectedSolution.name,
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source_cli: selectedSolution.source_cli,
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feasibility: selectedSolution.feasibility,
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effort: selectedSolution.effort,
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risk: selectedSolution.risk,
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summary: selectedSolution.summary
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},
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// Implementation plan (tasks, flow, milestones)
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implementation_plan: selectedSolution.implementation_plan,
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// Dependencies
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dependencies: selectedSolution.dependencies || { internal: [], external: [] },
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// Technical concerns
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technical_concerns: selectedSolution.technical_concerns || [],
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// Consensus from cross-verification
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consensus: {
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agreements: synthesis.cross_verification.agreements,
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resolved_conflicts: synthesis.cross_verification.resolution
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},
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// User constraints (from Phase 4 feedback)
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constraints: userConstraints || [],
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// Task context
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task_description: taskDescription,
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session_id: sessionId
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}
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// Write context-package for traceability
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Write(`${sessionFolder}/context-package.json`, JSON.stringify(contextPackage, null, 2))
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```
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**Context-Package Schema**:
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| Field | Type | Description |
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|-------|------|-------------|
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| `solution` | object | User-selected solution from synthesis |
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| `solution.name` | string | Solution identifier |
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| `solution.feasibility` | number | Viability score (0-1) |
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| `solution.summary` | string | Brief analysis summary |
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| `implementation_plan` | object | Task breakdown with flow and dependencies |
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| `implementation_plan.approach` | string | High-level technical strategy |
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| `implementation_plan.tasks[]` | array | Discrete tasks with id, name, depends_on, files |
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| `implementation_plan.execution_flow` | string | Task sequence (e.g., "T1 → T2 → T3") |
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| `implementation_plan.milestones` | string[] | Key checkpoints |
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| `dependencies` | object | Module and package dependencies |
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| `technical_concerns` | string[] | Risks and blockers |
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| `consensus` | object | Cross-verified agreements from multi-CLI |
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| `constraints` | string[] | User-specified constraints from Phase 4 |
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```json
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{
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"solution": {
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"name": "Strategy Pattern Refactoring",
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"source_cli": ["gemini", "codex"],
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"feasibility": 0.88,
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"effort": "medium",
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"risk": "low",
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"summary": "Extract payment gateway interface, implement strategy pattern for multi-gateway support"
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},
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"implementation_plan": {
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"approach": "Define interface → Create concrete strategies → Implement factory → Migrate existing code",
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"tasks": [
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{"id": "T1", "name": "Define PaymentGateway interface", "depends_on": [], "files": [{"file": "src/types/payment.ts", "line": 1, "action": "create"}], "key_point": "Include all existing Stripe methods"},
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{"id": "T2", "name": "Implement StripeGateway", "depends_on": ["T1"], "files": [{"file": "src/payment/stripe.ts", "line": 1, "action": "create"}], "key_point": "Wrap existing logic"},
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{"id": "T3", "name": "Create GatewayFactory", "depends_on": ["T1"], "files": [{"file": "src/payment/factory.ts", "line": 1, "action": "create"}], "key_point": null},
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{"id": "T4", "name": "Migrate processor to use factory", "depends_on": ["T2", "T3"], "files": [{"file": "src/payment/processor.ts", "line": 45, "action": "modify"}], "key_point": "Backward compatible"}
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],
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"execution_flow": "T1 → (T2 | T3) → T4",
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"milestones": ["Interface defined", "Gateway implementations complete", "Migration done"]
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},
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"dependencies": {
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"internal": ["@/lib/payment-gateway", "@/types/payment"],
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"external": ["stripe@^14.0.0"]
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},
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"technical_concerns": ["Existing tests must pass", "No breaking API changes"],
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"consensus": {
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"agreements": ["Use strategy pattern", "Keep existing API"],
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"resolved_conflicts": "Factory over DI for simpler integration"
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},
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"constraints": ["backward compatible", "no breaking changes to PaymentResult type"],
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"task_description": "Refactor payment processing for multi-gateway support",
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"session_id": "MCP-payment-refactor-2026-01-14"
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}
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```
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**Step 2: Invoke Planning Agent**:
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```javascript
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Task({
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subagent_type: "cli-lite-planning-agent",
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run_in_background: false,
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description: "Generate implementation plan",
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prompt: `
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## Schema Reference
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Execute: cat ~/.ccw/workflows/cli-templates/schemas/plan-overview-base-schema.json
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Execute: cat ~/.ccw/workflows/cli-templates/schemas/task-schema.json
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## Output Format: Two-Layer Structure
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- plan.json: Overview with task_ids[] referencing .task/ files (NO tasks[] array)
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- .task/TASK-*.json: Independent task files following task-schema.json
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plan.json required: summary, approach, task_ids, task_count, _metadata (with plan_type)
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Task files required: id, title, description, depends_on, convergence (with criteria[])
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Task fields: files[].change (not modification_points), convergence.criteria (not acceptance), test (not verification)
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## Context-Package (from orchestrator)
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${JSON.stringify(contextPackage, null, 2)}
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## Execution Process
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1. Read plan-overview-base-schema.json + task-schema.json for output structure
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2. Read project-tech.json and project-guidelines.json
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3. Parse context-package fields:
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- solution: name, feasibility, summary
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- implementation_plan: tasks[], execution_flow, milestones
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- dependencies: internal[], external[]
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- technical_concerns: risks/blockers
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- consensus: agreements, resolved_conflicts
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- constraints: user requirements
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4. Use implementation_plan.tasks[] as task foundation
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5. Preserve task dependencies (depends_on) and execution_flow
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6. Expand tasks with convergence.criteria (testable completion conditions)
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7. Create .task/ directory and write individual TASK-*.json files
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8. Generate plan.json with task_ids[] referencing .task/ files
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## Output
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- ${sessionFolder}/plan.json (overview with task_ids[])
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- ${sessionFolder}/.task/TASK-*.json (independent task files)
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## Completion Checklist
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- [ ] plan.json has task_ids[] and task_count (NO embedded tasks[])
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- [ ] .task/*.json files preserve task dependencies from implementation_plan
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- [ ] Task execution order follows execution_flow
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- [ ] Key_points reflected in task descriptions
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- [ ] User constraints applied to implementation
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- [ ] convergence.criteria are testable
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- [ ] plan.json follows plan-overview-base-schema.json
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- [ ] Task files follow task-schema.json
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`
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})
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```
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**Step 3: Build executionContext**:
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```javascript
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// After plan.json is generated by cli-lite-planning-agent
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const plan = JSON.parse(Read(`${sessionFolder}/plan.json`))
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// Load task files from .task/ directory (two-layer format)
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const taskFiles = plan.task_ids.map(id => `${sessionFolder}/.task/${id}.json`)
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// Build executionContext (same structure as lite-plan)
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executionContext = {
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planObject: plan,
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taskFiles: taskFiles, // Paths to .task/*.json files (two-layer format)
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explorationsContext: null, // Multi-CLI doesn't use exploration files
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explorationAngles: [], // No exploration angles
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explorationManifest: null, // No manifest
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clarificationContext: null, // Store user feedback from Phase 2 if exists
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executionMethod: userSelection.execution_method, // From Phase 4
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codeReviewTool: userSelection.code_review_tool, // From Phase 4
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originalUserInput: taskDescription,
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// Optional: Task-level executor assignments
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executorAssignments: null, // Could be enhanced in future
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session: {
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id: sessionId,
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folder: sessionFolder,
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artifacts: {
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explorations: [], // No explorations in multi-CLI workflow
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explorations_manifest: null,
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plan: `${sessionFolder}/plan.json`,
|
||||
task_dir: plan.task_ids ? `${sessionFolder}/.task/` : null,
|
||||
synthesis_rounds: Array.from({length: currentRound}, (_, i) =>
|
||||
`${sessionFolder}/rounds/${i+1}/synthesis.json`
|
||||
),
|
||||
context_package: `${sessionFolder}/context-package.json`
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Step 4: Hand off to Execution**:
|
||||
```javascript
|
||||
// Execute to lite-execute with in-memory context
|
||||
Skill(skill="workflow:lite-execute", args="--in-memory")
|
||||
```
|
||||
|
||||
## Output File Structure
|
||||
|
||||
```
|
||||
.workflow/.multi-cli-plan/{MCP-task-slug-YYYY-MM-DD}/
|
||||
├── session-state.json # Session tracking (orchestrator)
|
||||
├── rounds/
|
||||
│ ├── 1/synthesis.json # Round 1 analysis (cli-discuss-agent)
|
||||
│ ├── 2/synthesis.json # Round 2 analysis (cli-discuss-agent)
|
||||
│ └── .../
|
||||
├── context-package.json # Extracted context for planning (orchestrator)
|
||||
├── plan.json # Plan overview with task_ids[] (NO embedded tasks[])
|
||||
└── .task/ # Independent task files
|
||||
├── TASK-001.json # Task file following task-schema.json
|
||||
├── TASK-002.json
|
||||
└── ...
|
||||
```
|
||||
|
||||
**File Producers**:
|
||||
|
||||
| File | Producer | Content |
|
||||
|------|----------|---------|
|
||||
| `session-state.json` | Orchestrator | Session metadata, rounds, decisions |
|
||||
| `rounds/*/synthesis.json` | cli-discuss-agent | Solutions, convergence, cross-verification |
|
||||
| `context-package.json` | Orchestrator | Extracted solution, dependencies, consensus for planning |
|
||||
| `plan.json` | cli-lite-planning-agent | Plan overview with task_ids[] referencing .task/ files |
|
||||
| `.task/*.json` | cli-lite-planning-agent | Independent task files following task-schema.json |
|
||||
|
||||
## synthesis.json Schema
|
||||
|
||||
```json
|
||||
{
|
||||
"round": 1,
|
||||
"solutions": [{
|
||||
"name": "Solution Name",
|
||||
"source_cli": ["gemini", "codex"],
|
||||
"feasibility": 0.85,
|
||||
"effort": "low|medium|high",
|
||||
"risk": "low|medium|high",
|
||||
"summary": "Brief analysis summary",
|
||||
"implementation_plan": {
|
||||
"approach": "High-level technical approach",
|
||||
"tasks": [
|
||||
{"id": "T1", "name": "Task", "depends_on": [], "files": [], "key_point": "..."}
|
||||
],
|
||||
"execution_flow": "T1 → T2 → T3",
|
||||
"milestones": ["Checkpoint 1", "Checkpoint 2"]
|
||||
},
|
||||
"dependencies": {"internal": [], "external": []},
|
||||
"technical_concerns": ["Risk 1", "Blocker 2"]
|
||||
}],
|
||||
"convergence": {
|
||||
"score": 0.85,
|
||||
"new_insights": false,
|
||||
"recommendation": "converged|continue|user_input_needed"
|
||||
},
|
||||
"cross_verification": {
|
||||
"agreements": [],
|
||||
"disagreements": [],
|
||||
"resolution": "..."
|
||||
},
|
||||
"clarification_questions": []
|
||||
}
|
||||
```
|
||||
|
||||
**Key Planning Fields**:
|
||||
|
||||
| Field | Purpose |
|
||||
|-------|---------|
|
||||
| `feasibility` | Viability score (0-1) |
|
||||
| `implementation_plan.tasks[]` | Discrete tasks with dependencies |
|
||||
| `implementation_plan.execution_flow` | Task sequence visualization |
|
||||
| `implementation_plan.milestones` | Key checkpoints |
|
||||
| `technical_concerns` | Risks and blockers |
|
||||
|
||||
**Note**: Solutions ranked by internal scoring (array order = priority)
|
||||
|
||||
## TodoWrite Structure
|
||||
|
||||
**Initialization**:
|
||||
```javascript
|
||||
TodoWrite({ todos: [
|
||||
{ content: "Phase 1: Context Gathering", status: "in_progress", activeForm: "Gathering context" },
|
||||
{ content: "Phase 2: Multi-CLI Discussion", status: "pending", activeForm: "Running discussion" },
|
||||
{ content: "Phase 3: Present Options", status: "pending", activeForm: "Presenting options" },
|
||||
{ content: "Phase 4: User Decision", status: "pending", activeForm: "Awaiting decision" },
|
||||
{ content: "Phase 5: Plan Generation", status: "pending", activeForm: "Generating plan" }
|
||||
]})
|
||||
```
|
||||
|
||||
**During Discussion Rounds**:
|
||||
```javascript
|
||||
TodoWrite({ todos: [
|
||||
{ content: "Phase 1: Context Gathering", status: "completed", activeForm: "Gathering context" },
|
||||
{ content: "Phase 2: Multi-CLI Discussion", status: "in_progress", activeForm: "Running discussion" },
|
||||
{ content: " → Round 1: Initial analysis", status: "completed", activeForm: "Analyzing" },
|
||||
{ content: " → Round 2: Deep verification", status: "in_progress", activeForm: "Verifying" },
|
||||
{ content: "Phase 3: Present Options", status: "pending", activeForm: "Presenting options" },
|
||||
// ...
|
||||
]})
|
||||
```
|
||||
|
||||
## Error Handling
|
||||
|
||||
| Error | Resolution |
|
||||
|-------|------------|
|
||||
| ACE search fails | Fall back to Glob/Grep for file discovery |
|
||||
| Agent fails | Retry once, then present partial results |
|
||||
| CLI timeout (in agent) | Agent uses fallback: gemini → codex → claude |
|
||||
| No convergence | Present best options, flag uncertainty |
|
||||
| synthesis.json parse error | Request agent retry |
|
||||
| User cancels | Save session for later resumption |
|
||||
|
||||
## Configuration
|
||||
|
||||
| Flag | Default | Description |
|
||||
|------|---------|-------------|
|
||||
| `--max-rounds` | 3 | Maximum discussion rounds |
|
||||
| `--tools` | gemini,codex | CLI tools for analysis |
|
||||
| `--mode` | parallel | Execution mode: parallel or serial |
|
||||
| `--auto-execute` | false | Auto-execute after approval |
|
||||
|
||||
## Best Practices
|
||||
|
||||
1. **Be Specific**: Detailed task descriptions improve ACE context quality
|
||||
2. **Provide Feedback**: Use clarification rounds to refine requirements
|
||||
3. **Trust Cross-Verification**: Multi-CLI consensus indicates high confidence
|
||||
4. **Review Trade-offs**: Consider pros/cons before selecting solution
|
||||
5. **Check synthesis.json**: Review agent output for detailed analysis
|
||||
6. **Iterate When Needed**: Don't hesitate to request more analysis
|
||||
|
||||
## Related Commands
|
||||
|
||||
```bash
|
||||
# Simpler single-round planning
|
||||
/workflow:lite-plan "task description"
|
||||
|
||||
# Issue-driven discovery
|
||||
/issue:discover-by-prompt "find issues"
|
||||
|
||||
# View session files
|
||||
cat .workflow/.multi-cli-plan/{session-id}/plan.json
|
||||
cat .workflow/.multi-cli-plan/{session-id}/rounds/1/synthesis.json
|
||||
cat .workflow/.multi-cli-plan/{session-id}/context-package.json
|
||||
|
||||
# Direct execution (if you have plan.json)
|
||||
/workflow:lite-execute plan.json
|
||||
```
|
||||
|
||||
## Next Phase
|
||||
|
||||
Return to orchestrator, then auto-continue to [Phase 2: Lite Execute](02-lite-execute.md) via Skill handoff.
|
||||
Reference in New Issue
Block a user