Start-Phase: Mode 1 (Plan)
Strategic refinement of task list with human approval before execution.
Usage
/start-phase plan /path/to/task-list.md
Example:
/start-phase plan ./job-queue/prototype-build/tasks.md
Purpose
Mode 1 is the strategic gate before execution:
- •Review task list for complexity
- •Force parallelism and incremental builds
- •Get human approval before proceeding
- •NO execution - planning only
Workflow
Step 0: Extract Folder Locations
CRITICAL: Derive paths from task list location
Task list file: /path/to/folder/tasks.md Derived paths: • input_folder: /path/to/folder • planning_folder: /path/to/folder/planning These paths NEVER change during this phase.
Store these for Mode 2:
- •input_folder = directory containing task list
- •planning_folder = {input_folder}/planning
Step 1: Acknowledge Mode 1
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 Mode 1: Strategic Planning
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Task list: {task_list_file}
Input folder: {input_folder}
Planning folder: {planning_folder}
Beginning strategic review...
Step 1.5: Initialize Agent Invocation Tracking
Start cache tracking for this planning session:
# Initialize invocation
invocation_output=$(python3 ~/.claude/skills/start-phase/scripts/cache_wrapper.py init \
--agent-name "start-phase-plan" \
--purpose "Strategic planning for $(basename "$input_folder")" 2>/dev/null)
# Extract invocation_id
INVOCATION_ID=$(echo "$invocation_output" | jq -r '.invocation_id')
Store for this session:
✅ Agent Invocation ID: $INVOCATION_ID Cache tracking active for all file reads.
Step 2: Read Context with Cache Tracking
A. Read Task List
# Read with cache tracking
read_output=$(python3 ~/.claude/skills/start-phase/scripts/cache_wrapper.py read \
--invocation-id $INVOCATION_ID \
--file-path "$task_list_file" 2>/dev/null)
# Display cache status
cache_status=$(echo "$read_output" | jq -r '.cache_status')
tokens=$(echo "$read_output" | jq -r '.estimated_tokens')
echo "📄 Task list: $cache_status ($tokens tokens)"
# Read actual content (use Read tool for task list)
Read {task_list_file}
Extract:
- •Phase name (if present in file)
- •List of tasks
- •Task descriptions
- •Dependencies (if specified)
B. Read Documentation Hub (if exists)
# Check for Documentation Hub
if [ -d "$input_folder/docs" ]; then
echo ""
echo "📚 Reading Documentation Hub..."
for doc_file in "$input_folder/docs"/*.md; do
if [ -f "$doc_file" ]; then
read_output=$(python3 ~/.claude/skills/start-phase/scripts/cache_wrapper.py read \
--invocation-id $INVOCATION_ID \
--file-path "$doc_file")
cache_status=$(echo "$read_output" | jq -r '.cache_status')
echo " $(basename "$doc_file"): $cache_status"
# Read actual content (use Read tool)
Read "$doc_file"
fi
done
fi
C. Read Memory Bank (if exists)
# Read Memory Bank files with cache tracking
echo ""
echo "🧠 Reading Memory Bank..."
for mb_file in memory-bank/systemPatterns.md memory-bank/activeContext.md; do
if [ -f "$mb_file" ]; then
read_output=$(python3 ~/.claude/skills/start-phase/scripts/cache_wrapper.py read \
--invocation-id $INVOCATION_ID \
--file-path "$mb_file")
cache_status=$(echo "$read_output" | jq -r '.cache_status')
tokens=$(echo "$read_output" | jq -r '.estimated_tokens')
echo " $(basename "$mb_file"): $cache_status ($tokens tokens)"
# Read actual content (use Read tool)
Read "$mb_file"
fi
done
Get context about:
- •Current system architecture
- •Existing patterns
- •Technologies in use
- •Constraints
D. Display Cache Summary
# Get invocation stats
stats_output=$(python3 ~/.claude/skills/start-phase/scripts/cache_wrapper.py stats \
--invocation-id $INVOCATION_ID 2>/dev/null)
echo ""
echo "📊 Cache Statistics:"
echo " Files read: $(echo "$stats_output" | jq -r '.files_read')"
echo " Cache hits: $(echo "$stats_output" | jq -r '.cache_hits')"
echo " Cache misses: $(echo "$stats_output" | jq -r '.cache_misses')"
echo " Estimated tokens: $(echo "$stats_output" | jq -r '.estimated_tokens')"
echo ""
E. Display Current Task List
📋 Current Task List Total tasks: 8 1. Setup authentication API 2. Create user database schema 3. Build login UI 4. Implement JWT tokens 5. Add password hashing 6. Create auth middleware 7. Write integration tests 8. Deploy to staging ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Beginning strategic analysis...
Step 3: Strategic Analysis
Question Complexity:
Analyze if scope is too large for one phase:
⚠️ Complexity Analysis This task list aims for production-ready auth in one phase. Concerns: • Task 8 "Deploy to staging" suggests production scope • 8 tasks is manageable BUT mixing prototype + production • No clear MVP vs polish separation Recommendation: Focus on working prototype first • Phase 1: Basic auth (login/logout) - MVP • Phase 2: Production hardening (security, deploy)
Identify Parallelism:
Find tasks that can run independently:
🔀 Parallelism Opportunities Independent tasks (can run in parallel): • Task 1: Setup auth API (backend) • Task 3: Build login UI (frontend) • Task 7: Write tests (QA) Dependencies: • Task 4 depends on Task 1 (JWT needs API) • Task 6 depends on Task 1 (middleware needs API) • Task 7 depends on Tasks 1, 3, 4 (integration tests) Proposed waves: Wave 1 (parallel): Tasks 1, 3 Wave 2 (parallel): Tasks 2, 4, 5 Wave 3 (sequential): Task 6 Wave 4 (sequential): Task 7
Identify Sub-Agent Delegation Opportunities:
Analyze if feature requires specialized agents:
🤖 Sub-Agent Delegation Analysis Feature characteristics: • Total files impacted: 6 (3 new, 3 modified) • Skill sets required: Backend API, Frontend UI, Testing • Components: API endpoint, UI form, database schema, tests Sub-agent opportunity assessment: ✅ RECOMMEND sub-agent delegation Rationale: • Multiple specializations: Backend (API + DB) + Frontend (UI) + QA (tests) • Parallel execution benefit: ~30-40% time savings • Agent expertise: Each agent has specialized knowledge base • Progress tracking: Granular task updates per agent Proposed delegation: • nextjs-backend-developer: Tasks 1, 2, 4, 5, 6 (API, DB, JWT, middleware) • ui-developer: Task 3 (Login form UI) • qa-engineer: Task 7 (Integration tests) Parallel waves with agents: Wave 1 (parallel): • Task 1: Setup auth API (nextjs-backend-developer) • Task 3: Build login UI (ui-developer) Wave 2 (parallel): • Tasks 2, 4, 5: DB + JWT + hashing (nextjs-backend-developer) Wave 3 (sequential): • Task 6: Middleware (nextjs-backend-developer) • Task 7: Tests (qa-engineer) Expected time savings: ~2h sequential → ~1.5h parallel (25% faster)
When NOT to use sub-agents:
❌ Skip sub-agent delegation if: • Single file change (documentation update, config tweak) • <3 tasks total • Single skill set (only backend OR only frontend, not both) • Bug fix or hotfix (speed over tracking) • Proof of concept / throwaway code Use manual execution or lightweight mode instead.
Force Incremental Builds:
Reorder for early integration:
🔨 Incremental Build Strategy Current order: Setup → Build → Test → Deploy Problem: No integration until Task 7 Proposed order: 1. Minimal API endpoint (1h) ✅ Working code 2. Minimal UI form (1h) ✅ Integration point 3. Connect UI → API (30m) ✅ End-to-end working 4. Add JWT (1h) ✅ Still working 5. Add DB schema (1h) ✅ Still working 6. Add password hashing (30m) ✅ Still working 7. Add middleware (45m) ✅ Still working 8. Integration tests (1h) ✅ Final verification Result: Working code after EVERY task, not just at end
Step 4: Propose Refined Plan
Present revised task list:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Proposed Refined Plan ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Changes made: ✅ Reduced scope to MVP (removed "Deploy to staging") ✅ Reorganized for early integration ✅ Identified 2 parallel waves ✅ Ensured working code after each task Revised Task List: Wave 1 (Parallel - Run simultaneously): 1. Create minimal auth API endpoint (POST /login) Agent: nextjs-backend-developer Duration: ~1h Output: Working API endpoint 2. Create minimal login UI form Agent: ui-developer Duration: ~1h Output: Working form component Wave 2 (Integration): 3. Connect UI to API (end-to-end test) Agent: nextjs-backend-developer Duration: ~30m Output: Login flow works end-to-end Wave 3 (Parallel - Add features): 4. Add JWT token generation Agent: nextjs-backend-developer Duration: ~1h Depends on: Task 1 5. Create user database schema Agent: nextjs-backend-developer Duration: ~1h Depends on: Task 1 6. Add password hashing (bcrypt) Agent: nextjs-backend-developer Duration: ~30m Depends on: Task 5 Wave 4 (Sequential - Finalize): 7. Add auth middleware (protected routes) Agent: nextjs-backend-developer Duration: ~45m Depends on: Task 4 8. Write integration tests Agent: qa-engineer Duration: ~1h Depends on: All previous tasks ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Summary: • Total tasks: 8 (same count, better organized) • Parallel waves: 2 (Wave 1: 2 tasks, Wave 3: 3 tasks) • Working code after: Task 3 (end-to-end MVP) • Estimated time: ~6-7h (vs 8h sequential) • Time saved: ~1-2h through parallelism Deferred to Phase 2: • Deploy to staging • Production security hardening • Rate limiting • Session management
Step 5: Highlight Key Changes
🔑 Key Improvements 1. Scope Reduction ✅ - Removed: Deploy to staging - Focus: Working prototype only - Reason: One phase, one clear goal 2. Early Integration ✅ - Before: Integration at Task 7 - After: Integration at Task 3 - Benefit: Catch issues early, not late 3. Parallelism ✅ - Wave 1: Backend + Frontend simultaneously - Wave 3: JWT + DB + Hashing simultaneously - Benefit: 1-2h time savings 4. Clear Dependencies ✅ - Every task lists dependencies - Waves prevent conflicts - Integration points explicit 5. Incremental Value ✅ - Task 3: MVP works end-to-end - Every task after: Still works - Never broken for long periods
Step 6: Await Human Approval
Present options:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✋ Human Approval Required ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This refined plan is ready for your review. Options: 1. ✅ Approve - Proceed to Mode 2 (Execute) 2. 🔄 Revise - Suggest changes to the plan 3. ❌ Reject - Start over with different approach 4. 💬 Question - Ask about specific tasks/decisions Which option? (1/2/3/4)
Handle user response:
Option 1: Approve ✅
✅ Plan Approved!
Refined task list is ready for execution.
Next step:
/start-phase execute {task_list_file}
This will:
• Finalize the approved plan (write to task list file)
• Create planning directory structure
• Generate detailed planning documents
• Begin execution with quality gates
Ready to proceed? (y/n)
If user says yes:
Great! Please run:
/start-phase execute {task_list_file}
[Mode 1 complete]
Option 2: Revise 🔄
🔄 Plan Revision What would you like to change? Common revisions: • Adjust task order • Change parallel grouping • Add/remove tasks • Modify task descriptions • Adjust scope (more/less ambitious) Please describe your requested changes:
After user provides changes:
- •Update the refined plan
- •Re-present revised plan
- •Ask for approval again
Option 3: Reject ❌
❌ Plan Rejected Would you like to: 1. Start over with different objectives 2. Use original task list as-is (not recommended) 3. Cancel phase planning Which option? (1/2/3)
Option 4: Question 💬
💬 Questions Welcome Ask about: • Why tasks are ordered this way • How parallelism works • Why certain tasks are deferred • Dependency reasoning • Time estimates • Agent assignments Your question:
After answering: Return to approval options.
Step 6.5: Complete Agent Invocation
Mark planning session complete:
# Complete invocation
complete_output=$(python3 ~/.claude/skills/start-phase/scripts/cache_wrapper.py complete \
--invocation-id $INVOCATION_ID 2>/dev/null)
duration=$(echo "$complete_output" | jq -r '.duration_seconds')
echo ""
echo "✅ Planning session complete (${duration}s)"
echo ""
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo "📊 Final Cache Statistics"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " Files read: $(echo "$complete_output" | jq -r '.total_files_read')"
echo " Cache hits: $(echo "$complete_output" | jq -r '.cache_hits')"
echo " Cache misses: $(echo "$complete_output" | jq -r '.cache_misses')"
echo " Estimated tokens: $(echo "$complete_output" | jq -r '.estimated_tokens_used')"
echo ""
Step 7: Save Context for Mode 2
If approved, store:
Planning context saved:
• task_list_file: {path}
• input_folder: {derived from task list}
• planning_folder: {input_folder}/planning
• phase_name: {extracted or inferred}
• approved_plan: {refined task list}
Ready for Mode 2 execution.
Important Rules
Mode 1 Constraints
NEVER do these in Mode 1:
- •❌ Create directories
- •❌ Write files (except notes for user)
- •❌ Make git commits
- •❌ Execute tasks
- •❌ Run quality checks
ONLY do these in Mode 1:
- •✅ Read files (task list, docs, memory bank)
- •✅ Analyze and strategize
- •✅ Propose changes
- •✅ Get human approval
Path Management
CRITICAL - Never lose folder locations:
Input folder = directory containing task list file
Planning folder = {input_folder}/planning
Example:
Task list: ./job-queue/prototype/tasks.md
→ input_folder: ./job-queue/prototype
→ planning_folder: ./job-queue/prototype/planning
All Mode 2 artifacts go in planning_folder!
Always pass to Mode 2:
- •Full path to task_list_file
- •Derived input_folder
- •Derived planning_folder
Example Session
# User starts Mode 1 /start-phase plan ./job-queue/auth-prototype/tasks.md # System extracts paths Input folder: ./job-queue/auth-prototype Planning folder: ./job-queue/auth-prototype/planning # System reads task list [Reads 8 tasks from file] # System analyzes ⚠️ Complexity too high for one phase 🔀 Found parallelism opportunities 🔨 Reorganized for incremental builds # System proposes refined plan [Shows revised 8 tasks with waves] # System asks for approval Options: Approve / Revise / Reject / Question # User approves User: 1 # System confirms ✅ Plan approved! Next: /start-phase execute ./job-queue/auth-prototype/tasks.md # [Mode 1 complete]
Success Criteria
Mode 1 succeeds when:
- •✅ Task list analyzed strategically
- •✅ Parallelism opportunities identified
- •✅ Incremental build order proposed
- •✅ Complexity questioned if too high
- •✅ Human approval obtained
- •✅ Planning paths preserved
- •✅ Ready for Mode 2
Notes
- •Mode 1 is fast: 5-15 minutes of analysis
- •Human-in-loop is mandatory: No execution without approval
- •Paths are sacred: Never lose input_folder or planning_folder
- •Iteration is fine: Revise plan as many times as needed
- •No work done yet: Mode 1 is purely strategic
Estimated time: 5-15 minutes (analysis + discussion) Token usage: ~2,500 tokens (comprehensive planning)