--- name: req-plan-with-file description: Requirement-level progressive roadmap planning with JSONL output. Decomposes requirements into convergent layers (MVP→iterations) or topologically-sorted task sequences, each with testable completion criteria. argument-hint: "[-y|--yes] [-c|--continue] [-m|--mode progressive|direct|auto] \"requirement description\"" allowed-tools: TodoWrite(*), Task(*), AskUserQuestion(*), Read(*), Grep(*), Glob(*), Bash(*), Edit(*), Write(*) --- ## Auto Mode When `--yes` or `-y`: Auto-confirm strategy selection, use recommended mode, skip interactive validation rounds. # Workflow Req-Plan Command (/workflow:req-plan-with-file) ## Quick Start ```bash # Basic usage /workflow:req-plan-with-file "Implement user authentication system with OAuth and 2FA" # With mode selection /workflow:req-plan-with-file -m progressive "Build real-time notification system" # Layered MVP→iterations /workflow:req-plan-with-file -m direct "Refactor payment module" # Topologically-sorted task sequence /workflow:req-plan-with-file -m auto "Add data export feature" # Auto-select strategy # Continue existing session /workflow:req-plan-with-file --continue "user authentication system" # Auto mode /workflow:req-plan-with-file -y "Implement caching layer" ``` **Context Source**: cli-explore-agent (optional) + requirement analysis **Output Directory**: `.workflow/.req-plan/{session-id}/` **Core Innovation**: JSONL roadmap where each record is self-contained + has convergence criteria, independently executable via lite-plan ## Overview Requirement-level layered roadmap planning command. Decomposes a requirement into **convergent layers or task sequences**, each record containing explicit completion criteria (convergence), independently executable via `lite-plan`. **Dual Modes**: - **Progressive**: Layered MVP→iterations, suitable for high-uncertainty requirements (validate first, then refine) - **Direct**: Topologically-sorted task sequence, suitable for low-uncertainty requirements (clear tasks, directly ordered) - **Auto**: Automatically selects based on uncertainty level **Core Workflow**: Requirement Understanding → Strategy Selection → Context Collection (optional) → Decomposition → Validation → Output ``` ┌─────────────────────────────────────────────────────────────────────────┐ │ REQ-PLAN ROADMAP WORKFLOW │ ├─────────────────────────────────────────────────────────────────────────┤ │ │ │ Phase 1: Requirement Understanding & Strategy Selection │ │ ├─ Parse requirement: goal / constraints / stakeholders │ │ ├─ Assess uncertainty level │ │ │ ├─ High uncertainty → recommend progressive │ │ │ └─ Low uncertainty → recommend direct │ │ ├─ User confirms strategy (-m skips, -y auto-selects recommended) │ │ └─ Initialize strategy-assessment.json + roadmap.md skeleton │ │ │ │ Phase 2: Context Collection (Optional) │ │ ├─ Detect codebase: package.json / go.mod / src / ... │ │ ├─ Has codebase → cli-explore-agent explores relevant modules │ │ └─ No codebase → skip, pure requirement decomposition │ │ │ │ Phase 3: Decomposition Execution (cli-roadmap-plan-agent) │ │ ├─ Progressive: define 2-4 layers, each with full convergence │ │ ├─ Direct: vertical slicing + topological sort, each with convergence│ │ └─ Generate roadmap.jsonl (one self-contained record per line) │ │ │ │ Phase 4: Interactive Validation & Final Output │ │ ├─ Display decomposition results (tabular + convergence criteria) │ │ ├─ User feedback loop (up to 5 rounds) │ │ ├─ Generate final roadmap.md │ │ └─ Next steps: layer-by-layer lite-plan / create issue / export │ │ │ └─────────────────────────────────────────────────────────────────────────┘ ``` ## Output ``` .workflow/.req-plan/RPLAN-{slug}-{YYYY-MM-DD}/ ├── roadmap.md # ⭐ Human-readable roadmap ├── roadmap.jsonl # ⭐ Machine-readable, one self-contained record per line (with convergence) ├── strategy-assessment.json # Strategy assessment result └── exploration-codebase.json # Codebase context (optional) ``` | File | Phase | Description | |------|-------|-------------| | `strategy-assessment.json` | 1 | Uncertainty analysis + mode recommendation + extracted goal/constraints/stakeholders | | `roadmap.md` (skeleton) | 1 | Initial skeleton with placeholders, finalized in Phase 4 | | `exploration-codebase.json` | 2 | Codebase context: relevant modules, patterns, integration points (only when codebase exists) | | `roadmap.jsonl` | 3 | One self-contained JSON record per line with convergence criteria | | `roadmap.md` (final) | 4 | Human-readable roadmap with tabular display + convergence details, revised per user feedback | **roadmap.md template**: ```markdown # Requirement Roadmap **Session**: RPLAN-{slug}-{date} **Requirement**: {requirement} **Strategy**: {progressive|direct} **Generated**: {timestamp} ## Strategy Assessment - Uncertainty level: {high|medium|low} - Decomposition mode: {progressive|direct} - Assessment basis: {factors summary} ## Roadmap {Tabular display of layers/tasks} ## Convergence Criteria Details {Expanded convergence for each layer/task} ## Risk Items {Aggregated risk_items} ## Next Steps {Execution guidance} ``` ## Configuration | Flag | Default | Description | |------|---------|-------------| | `-y, --yes` | false | Auto-confirm all decisions | | `-c, --continue` | false | Continue existing session | | `-m, --mode` | auto | Decomposition strategy: progressive / direct / auto | **Session ID format**: `RPLAN-{slug}-{YYYY-MM-DD}` - slug: lowercase, alphanumeric + CJK characters, max 40 chars - date: YYYY-MM-DD (UTC+8) - Auto-detect continue: session folder + roadmap.jsonl exists → continue mode ## JSONL Schema Design ### Convergence Criteria (convergence field) Each JSONL record's `convergence` object contains three levels: | Field | Purpose | Requirement | |-------|---------|-------------| | `criteria[]` | List of checkable specific conditions | **Testable** (can be written as assertions or manual steps) | | `verification` | How to verify these conditions | **Executable** (command, script, or explicit steps) | | `definition_of_done` | One-sentence completion definition | **Business language** (non-technical person can judge) | ### Progressive Mode Each line = one layer. Layer naming convention: | Layer | Name | Typical Goal | |-------|------|--------------| | L0 | MVP | Minimum viable closed loop, core path works end-to-end | | L1 | Usable | Key user paths refined, basic error handling | | L2 | Refined | Edge case handling, performance optimization, security hardening | | L3 | Optimized | Advanced features, observability, operations support | **Schema**: `id, name, goal, scope[], excludes[], convergence{}, risk_items[], effort, depends_on[]` ```jsonl {"id":"L0","name":"MVP","goal":"Minimum viable closed loop","scope":["User registration and login","Basic CRUD"],"excludes":["OAuth","2FA"],"convergence":{"criteria":["End-to-end register→login→operate flow works","Core API returns correct responses"],"verification":"curl/Postman manual testing or smoke test script","definition_of_done":"New user can complete the full flow of register→login→perform one core operation"},"risk_items":["JWT library selection needs validation"],"effort":"medium","depends_on":[]} {"id":"L1","name":"Usable","goal":"Complete key user paths","scope":["Password reset","Input validation","Error messages"],"excludes":["Audit logs","Rate limiting"],"convergence":{"criteria":["All form fields have frontend+backend validation","Password reset email can be sent and reset completed","Error scenarios show user-friendly messages"],"verification":"Unit tests cover validation logic + manual test of reset flow","definition_of_done":"Users have a clear recovery path when encountering input errors or forgotten passwords"},"risk_items":[],"effort":"medium","depends_on":["L0"]} ``` **Constraints**: 2-4 layers, L0 must be a self-contained closed loop with no dependencies, each feature belongs to exactly ONE layer (no scope overlap). ### Direct Mode Each line = one task. Task type convention: | Type | Use Case | |------|----------| | infrastructure | Data models, configuration, scaffolding | | feature | API, UI, business logic implementation | | enhancement | Validation, error handling, edge cases | | testing | Unit tests, integration tests, E2E | **Schema**: `id, title, type, scope, inputs[], outputs[], convergence{}, depends_on[], parallel_group` ```jsonl {"id":"T1","title":"Establish data model","type":"infrastructure","scope":"DB schema + TypeScript types","inputs":[],"outputs":["schema.prisma","types/user.ts"],"convergence":{"criteria":["Migration executes without errors","TypeScript types compile successfully","Fields cover all business entities"],"verification":"npx prisma migrate dev && npx tsc --noEmit","definition_of_done":"Database schema migrates correctly, type definitions can be referenced by other modules"},"depends_on":[],"parallel_group":1} {"id":"T2","title":"Implement core API","type":"feature","scope":"CRUD endpoints for User","inputs":["schema.prisma","types/user.ts"],"outputs":["routes/user.ts","controllers/user.ts"],"convergence":{"criteria":["GET/POST/PUT/DELETE return correct status codes","Request/response conforms to schema","No N+1 queries"],"verification":"jest --testPathPattern=user.test.ts","definition_of_done":"All User CRUD endpoints pass integration tests"},"depends_on":["T1"],"parallel_group":2} ``` **Constraints**: Inputs must come from preceding task outputs or existing resources, tasks in same parallel_group must be truly independent, no circular dependencies. ## Implementation ### Session Initialization **Objective**: Create session context and directory structure. ```javascript const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString() // Parse flags const autoYes = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y') const continueMode = $ARGUMENTS.includes('--continue') || $ARGUMENTS.includes('-c') const modeMatch = $ARGUMENTS.match(/(?:--mode|-m)\s+(progressive|direct|auto)/) const requestedMode = modeMatch ? modeMatch[1] : 'auto' // Clean requirement text (remove flags) const requirement = $ARGUMENTS .replace(/--yes|-y|--continue|-c|--mode\s+\w+|-m\s+\w+/g, '') .trim() const slug = requirement.toLowerCase() .replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-') .substring(0, 40) const dateStr = getUtc8ISOString().substring(0, 10) const sessionId = `RPLAN-${slug}-${dateStr}` const sessionFolder = `.workflow/.req-plan/${sessionId}` // Auto-detect continue: session folder + roadmap.jsonl exists → continue mode Bash(`mkdir -p ${sessionFolder}`) ``` ### Phase 1: Requirement Understanding & Strategy Selection **Objective**: Parse requirement, assess uncertainty, select decomposition strategy. **Prerequisites**: Session initialized, requirement description available. **Steps**: 1. **Parse Requirement** - Extract core goal (what to achieve) - Identify constraints (tech stack, timeline, compatibility, etc.) - Identify stakeholders (users, admins, developers, etc.) - Identify keywords to determine domain 2. **Assess Uncertainty Level** ```javascript const uncertaintyFactors = { scope_clarity: 'low|medium|high', technical_risk: 'low|medium|high', dependency_unknown: 'low|medium|high', domain_familiarity: 'low|medium|high', requirement_stability: 'low|medium|high' } // high uncertainty (>=3 high) → progressive // low uncertainty (>=3 low) → direct // otherwise → ask user preference ``` 3. **Strategy Selection** (skip if `-m` already specified) ```javascript if (requestedMode !== 'auto') { selectedMode = requestedMode } else if (autoYes) { selectedMode = recommendedMode } else { AskUserQuestion({ questions: [{ question: `Decomposition strategy selection:\n\nUncertainty assessment: ${uncertaintyLevel}\nRecommended strategy: ${recommendedMode}\n\nSelect decomposition strategy:`, header: "Strategy", multiSelect: false, options: [ { label: recommendedMode === 'progressive' ? "Progressive (Recommended)" : "Progressive", description: "Layered MVP→iterations, validate core first then refine progressively. Suitable for high-uncertainty requirements needing quick validation" }, { label: recommendedMode === 'direct' ? "Direct (Recommended)" : "Direct", description: "Topologically-sorted task sequence with explicit dependencies. Suitable for clear requirements with confirmed technical approach" } ] }] }) } ``` 4. **Generate strategy-assessment.json** ```javascript const strategyAssessment = { session_id: sessionId, requirement: requirement, timestamp: getUtc8ISOString(), uncertainty_factors: uncertaintyFactors, uncertainty_level: uncertaintyLevel, // 'high' | 'medium' | 'low' recommended_mode: recommendedMode, selected_mode: selectedMode, goal: extractedGoal, constraints: extractedConstraints, stakeholders: extractedStakeholders, domain_keywords: extractedKeywords } Write(`${sessionFolder}/strategy-assessment.json`, JSON.stringify(strategyAssessment, null, 2)) ``` 5. **Initialize roadmap.md skeleton** (placeholder sections, finalized in Phase 4) ```javascript const roadmapMdSkeleton = `# Requirement Roadmap **Session**: ${sessionId} **Requirement**: ${requirement} **Strategy**: ${selectedMode} **Status**: Planning **Created**: ${getUtc8ISOString()} ## Strategy Assessment - Uncertainty level: ${uncertaintyLevel} - Decomposition mode: ${selectedMode} ## Roadmap > To be populated after Phase 3 decomposition ## Convergence Criteria Details > To be populated after Phase 3 decomposition ## Risk Items > To be populated after Phase 3 decomposition ## Next Steps > To be populated after Phase 4 validation ` Write(`${sessionFolder}/roadmap.md`, roadmapMdSkeleton) ``` **Success Criteria**: - Requirement goal, constraints, stakeholders identified - Uncertainty level assessed - Strategy selected (progressive or direct) - strategy-assessment.json generated - roadmap.md skeleton initialized ### Phase 2: Context Collection (Optional) **Objective**: If a codebase exists, collect relevant context to enhance decomposition quality. **Prerequisites**: Phase 1 complete. **Steps**: 1. **Detect Codebase** ```javascript const hasCodebase = Bash(` test -f package.json && echo "nodejs" || test -f go.mod && echo "golang" || test -f Cargo.toml && echo "rust" || test -f pyproject.toml && echo "python" || test -f pom.xml && echo "java" || test -d src && echo "generic" || echo "none" `).trim() ``` 2. **Codebase Exploration** (only when hasCodebase !== 'none') ```javascript if (hasCodebase !== 'none') { Task({ subagent_type: "cli-explore-agent", run_in_background: false, description: `Explore codebase: ${slug}`, prompt: ` ## Exploration Context Requirement: ${requirement} Strategy: ${selectedMode} Project Type: ${hasCodebase} Session: ${sessionFolder} ## MANDATORY FIRST STEPS 1. Run: ccw tool exec get_modules_by_depth '{}' 2. Execute relevant searches based on requirement keywords 3. Read: .workflow/project-tech.json (if exists) 4. Read: .workflow/project-guidelines.json (if exists) ## Exploration Focus - Identify modules/components related to the requirement - Find existing patterns that should be followed - Locate integration points for new functionality - Assess current architecture constraints ## Output Write findings to: ${sessionFolder}/exploration-codebase.json Schema: { project_type: "${hasCodebase}", relevant_modules: [{name, path, relevance}], existing_patterns: [{pattern, files, description}], integration_points: [{location, description, risk}], architecture_constraints: [string], tech_stack: {languages, frameworks, tools}, _metadata: {timestamp, exploration_scope} } ` }) } // No codebase → skip, proceed directly to Phase 3 ``` **Success Criteria**: - Codebase detection complete - When codebase exists, exploration-codebase.json generated - When no codebase, skipped and logged ### Phase 3: Decomposition Execution **Objective**: Execute requirement decomposition via `cli-roadmap-plan-agent`, generating roadmap.jsonl + roadmap.md. **Prerequisites**: Phase 1, Phase 2 complete. Strategy selected. Context collected (if applicable). **Agent**: `cli-roadmap-plan-agent` (dedicated requirement roadmap planning agent, supports CLI-assisted decomposition + built-in quality checks) **Steps**: 1. **Prepare Context** ```javascript const strategy = JSON.parse(Read(`${sessionFolder}/strategy-assessment.json`)) let explorationContext = null if (file_exists(`${sessionFolder}/exploration-codebase.json`)) { explorationContext = JSON.parse(Read(`${sessionFolder}/exploration-codebase.json`)) } ``` 2. **Invoke cli-roadmap-plan-agent** The agent internally executes a 5-phase flow: - Phase 1: Context loading + requirement analysis - Phase 2: CLI-assisted decomposition (Gemini → Qwen → manual fallback) - Phase 3: Record enhancement + validation (schema compliance, dependency checks, convergence quality) - Phase 4: Generate roadmap.jsonl + roadmap.md - Phase 5: CLI decomposition quality check (**MANDATORY** - requirement coverage, convergence criteria quality, dependency correctness) ```javascript Task({ subagent_type: "cli-roadmap-plan-agent", run_in_background: false, description: `Roadmap decomposition: ${slug}`, prompt: ` ## Roadmap Decomposition Task ### Input Context - **Requirement**: ${requirement} - **Selected Mode**: ${selectedMode} - **Session ID**: ${sessionId} - **Session Folder**: ${sessionFolder} ### Strategy Assessment ${JSON.stringify(strategy, null, 2)} ### Codebase Context ${explorationContext ? `File: ${sessionFolder}/exploration-codebase.json\n${JSON.stringify(explorationContext, null, 2)}` : 'No codebase detected - pure requirement decomposition'} ### CLI Configuration - Primary tool: gemini - Fallback: qwen - Timeout: 60000ms ### Expected Output 1. **${sessionFolder}/roadmap.jsonl** - One JSON record per line with convergence field 2. **${sessionFolder}/roadmap.md** - Human-readable roadmap with tables and convergence details ### Mode-Specific Requirements ${selectedMode === 'progressive' ? `**Progressive Mode**: - 2-4 layers from MVP to full implementation - Each layer: id (L0-L3), name, goal, scope, excludes, convergence, risk_items, effort, depends_on - L0 (MVP) must be a self-contained closed loop with no dependencies - Scope: each feature belongs to exactly ONE layer (no overlap) - Layer names: MVP / Usable / Refined / Optimized` : `**Direct Mode**: - Topologically-sorted task sequence - Each task: id (T1-Tn), title, type, scope, inputs, outputs, convergence, depends_on, parallel_group - Inputs must come from preceding task outputs or existing resources - Tasks in same parallel_group must be truly independent`} ### Convergence Quality Requirements - criteria[]: MUST be testable (can write assertions or manual verification steps) - verification: MUST be executable (command, script, or explicit steps) - definition_of_done: MUST use business language (non-technical person can judge) ### Execution 1. Analyze requirement and build decomposition context 2. Execute CLI-assisted decomposition (Gemini, fallback Qwen) 3. Parse output, validate records, enhance convergence quality 4. Write roadmap.jsonl + roadmap.md 5. Execute mandatory quality check (Phase 5) 6. Return brief completion summary ` }) ``` **Success Criteria**: - roadmap.jsonl generated, each line independently JSON.parse-able - roadmap.md generated (follows template in Output section) - Each record contains convergence (criteria + verification + definition_of_done) - Agent's internal quality check passed - No circular dependencies - Progressive: 2-4 layers, no scope overlap - Direct: tasks have explicit inputs/outputs, parallel_group assigned ### Phase 4: Interactive Validation & Final Output **Objective**: Display decomposition results, collect user feedback, generate final artifacts. **Prerequisites**: Phase 3 complete, roadmap.jsonl generated. **Steps**: 1. **Display Decomposition Results** (tabular format) **Progressive Mode**: ```markdown ## Roadmap Overview | Layer | Name | Goal | Scope | Effort | Dependencies | |-------|------|------|-------|--------|--------------| | L0 | MVP | ... | ... | medium | - | | L1 | Usable | ... | ... | medium | L0 | ### Convergence Criteria **L0 - MVP**: - ✅ Criteria: [criteria list] - 🔍 Verification: [verification] - 🎯 Definition of Done: [definition_of_done] ``` **Direct Mode**: ```markdown ## Task Sequence | Group | ID | Title | Type | Dependencies | |-------|----|-------|------|--------------| | 1 | T1 | ... | infrastructure | - | | 2 | T2 | ... | feature | T1 | ### Convergence Criteria **T1 - Establish Data Model**: - ✅ Criteria: [criteria list] - 🔍 Verification: [verification] - 🎯 Definition of Done: [definition_of_done] ``` 2. **User Feedback Loop** (up to 5 rounds, skipped when autoYes) ```javascript if (!autoYes) { let round = 0 let continueLoop = true while (continueLoop && round < 5) { round++ const feedback = AskUserQuestion({ questions: [{ question: `Roadmap validation (round ${round}):\nAny feedback on the current decomposition?`, header: "Feedback", multiSelect: false, options: [ { label: "Approve", description: "Decomposition is reasonable, generate final artifacts" }, { label: "Adjust Scope", description: "Some layer/task scopes need adjustment" }, { label: "Modify Convergence", description: "Convergence criteria are not specific or testable enough" }, { label: "Re-decompose", description: "Overall strategy or layering approach needs change" } ] }] }) if (feedback === 'Approve') { continueLoop = false } else { // Handle adjustment based on feedback type // After adjustment, re-display and return to loop top } } } ``` 3. **Finalize roadmap.md** (populate template from Output section with actual data) ```javascript const roadmapMd = ` # Requirement Roadmap **Session**: ${sessionId} **Requirement**: ${requirement} **Strategy**: ${selectedMode} **Generated**: ${getUtc8ISOString()} ## Strategy Assessment - Uncertainty level: ${strategy.uncertainty_level} - Decomposition mode: ${selectedMode} ## Roadmap ${generateRoadmapTable(items, selectedMode)} ## Convergence Criteria Details ${items.map(item => generateConvergenceSection(item, selectedMode)).join('\n\n')} ## Risk Items ${generateRiskSection(items)} ## Next Steps Each layer/task can be executed independently: \`\`\`bash /workflow:lite-plan "${items[0].name || items[0].title}: ${items[0].scope}" \`\`\` Roadmap JSONL file: \`${sessionFolder}/roadmap.jsonl\` ` Write(`${sessionFolder}/roadmap.md`, roadmapMd) ``` 4. **Post-Completion Options** ```javascript if (!autoYes) { AskUserQuestion({ questions: [{ question: "Roadmap generated. Next step:", header: "Next Step", multiSelect: false, options: [ { label: "Execute First Layer", description: `Launch lite-plan to execute ${items[0].id}` }, { label: "Create Issue", description: "Create GitHub Issue based on roadmap" }, { label: "Export Report", description: "Generate standalone shareable roadmap report" }, { label: "Done", description: "Save roadmap only, execute later" } ] }] }) } ``` | Selection | Action | |-----------|--------| | Execute First Layer | `Skill(skill="workflow:lite-plan", args="${firstItem.scope}")` | | Create Issue | `Skill(skill="issue:new", args="...")` | | Export Report | Copy roadmap.md + roadmap.jsonl to user-specified location, or generate standalone HTML/Markdown report | | Done | Display roadmap file paths, end | **Success Criteria**: - User feedback processed (or skipped via autoYes) - roadmap.md finalized - roadmap.jsonl final version updated - Post-completion options provided ## Error Handling | Error | Resolution | |-------|------------| | cli-explore-agent failure | Skip code exploration, proceed with pure requirement decomposition | | No codebase | Normal flow, skip Phase 2 | | Circular dependency detected | Prompt user to adjust dependencies, re-decompose | | User feedback timeout | Save current state, display `--continue` recovery command | | Max feedback rounds reached | Use current version to generate final artifacts | | Session folder conflict | Append timestamp suffix | | JSONL format error | Validate line by line, report problematic lines and fix | ## Best Practices 1. **Clear requirement description**: Detailed description → more accurate uncertainty assessment and decomposition 2. **Validate MVP first**: In progressive mode, L0 should be the minimum verifiable closed loop 3. **Testable convergence**: criteria must be writable as assertions or manual steps; definition_of_done should be judgeable by non-technical stakeholders (see Convergence Criteria in JSONL Schema Design) 4. **Agent-First for Exploration**: Delegate codebase exploration to cli-explore-agent, do not analyze directly in main flow 5. **Incremental validation**: Use `--continue` to iterate on existing roadmaps 6. **Independently executable**: Each JSONL record should be independently passable to lite-plan for execution ## Usage Recommendations **Use `/workflow:req-plan-with-file` when:** - You need to decompose a large requirement into a progressively executable roadmap - Unsure where to start, need an MVP strategy - Need to generate a trackable task sequence for the team - Requirement involves multiple stages or iterations **Use `/workflow:lite-plan` when:** - You have a clear single task to execute - The requirement is already a layer/task from the roadmap - No layered planning needed **Use `/workflow:collaborative-plan-with-file` when:** - A single complex task needs multi-agent parallel planning - Need to analyze the same task from multiple domain perspectives **Use `/workflow:analyze-with-file` when:** - Need in-depth analysis of a technical problem - Not about planning execution, but understanding and discussion --- **Now execute req-plan-with-file for**: $ARGUMENTS