Ordinary-claude-skills todowrite-orchestration
Track progress in multi-phase workflows with TodoWrite. Use when orchestrating 5+ phase commands, managing iteration loops, tracking parallel tasks, or providing real-time progress visibility. Trigger keywords - "phase tracking", "progress", "workflow", "multi-step", "multi-phase", "todo", "tracking", "status".
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skills_all/todowrite-orchestration/SKILL.mdTodoWrite Orchestration
Version: 1.0.0 Purpose: Patterns for using TodoWrite in complex multi-phase workflows Status: Production Ready
Overview
TodoWrite orchestration is the practice of using the TodoWrite tool to provide real-time progress visibility in complex multi-phase workflows. It transforms opaque "black box" workflows into transparent, trackable processes where users can see:
- What phase is currently executing
- How many phases remain
- Which tasks are pending, in-progress, or completed
- Overall progress percentage
- Iteration counts in loops
This skill provides battle-tested patterns for:
- Phase initialization (create complete task list before starting)
- Task granularity (how to break phases into trackable tasks)
- Status transitions (pending → in_progress → completed)
- Real-time updates (mark complete immediately, not batched)
- Iteration tracking (progress through loops)
- Parallel task tracking (multiple agents executing simultaneously)
TodoWrite orchestration is especially valuable for workflows with >5 phases or >10 minutes duration, where users need progress feedback.
Core Patterns
Pattern 1: Phase Initialization
Create TodoWrite List BEFORE Starting:
Initialize TodoWrite as step 0 of your workflow, before any actual work begins:
✅ CORRECT - Initialize First: Step 0: Initialize TodoWrite TodoWrite: Create task list - PHASE 1: Gather user inputs - PHASE 1: Validate inputs - PHASE 2: Select AI models - PHASE 2: Estimate costs - PHASE 2: Get user approval - PHASE 3: Launch parallel reviews - PHASE 3: Wait for all reviews - PHASE 4: Consolidate reviews - PHASE 5: Present results Step 1: Start actual work (PHASE 1) Mark "PHASE 1: Gather user inputs" as in_progress ... do work ... Mark "PHASE 1: Gather user inputs" as completed Mark "PHASE 1: Validate inputs" as in_progress ... do work ... ❌ WRONG - Create During Workflow: Step 1: Do some work ... work happens ... TodoWrite: Create task "Did some work" (completed) Step 2: Do more work ... work happens ... TodoWrite: Create task "Did more work" (completed) Problem: User has no visibility into upcoming phases
List All Phases Upfront:
When initializing, include all phases in the task list, not just the current phase:
✅ CORRECT - Complete Visibility: TodoWrite Initial State: [ ] PHASE 1: Gather user inputs [ ] PHASE 1: Validate inputs [ ] PHASE 2: Architecture planning [ ] PHASE 3: Implementation [ ] PHASE 3: Run quality checks [ ] PHASE 4: Code review [ ] PHASE 5: User acceptance [ ] PHASE 6: Generate report User sees: "8 tasks total, 0 complete, Phase 1 starting" ❌ WRONG - Incremental Discovery: TodoWrite Initial State: [ ] PHASE 1: Gather user inputs [ ] PHASE 1: Validate inputs (User thinks workflow is 2 tasks, then surprised by 6 more phases)
Why Initialize First:
- User expectation setting: User knows workflow scope (8 phases, ~20 minutes)
- Progress visibility: User can see % complete (3/8 = 37.5%)
- Time estimation: User can estimate remaining time based on progress
- Transparency: No hidden phases or surprises
Pattern 2: Task Granularity Guidelines
One Task Per Significant Operation:
Each task should represent a significant operation (1-5 minutes of work):
✅ CORRECT - Significant Operations: Tasks: - PHASE 1: Ask user for inputs (30s) - PHASE 2: Generate architecture plan (2 min) - PHASE 3: Implement feature (5 min) - PHASE 4: Run tests (1 min) - PHASE 5: Code review (3 min) Each task = meaningful unit of work ❌ WRONG - Too Granular: Tasks: - PHASE 1: Ask user question 1 - PHASE 1: Ask user question 2 - PHASE 1: Ask user question 3 - PHASE 2: Read file A - PHASE 2: Read file B - PHASE 2: Write file C - ... (50 micro-tasks) Problem: Too many updates, clutters user interface
Multi-Step Phases: Break Into 2-3 Sub-Tasks:
For complex phases (>5 minutes), break into 2-3 sub-tasks:
✅ CORRECT - Sub-Task Breakdown: PHASE 3: Implementation (15 min total) → Sub-tasks: - PHASE 3: Implement core logic (5 min) - PHASE 3: Add error handling (3 min) - PHASE 3: Write tests (7 min) User sees progress within phase: "PHASE 3: 2/3 complete" ❌ WRONG - Single Monolithic Task: PHASE 3: Implementation (15 min) → No sub-tasks Problem: User sees "in_progress" for 15 min with no updates
Avoid Too Many Tasks:
Limit to max 15-20 tasks for readability:
✅ CORRECT - 12 Tasks (readable): 10-phase workflow: - PHASE 1: Ask user - PHASE 2: Plan (2 sub-tasks) - PHASE 3: Implement (3 sub-tasks) - PHASE 4: Test - PHASE 5: Review (2 sub-tasks) - PHASE 6: Fix issues - PHASE 7: Re-review - PHASE 8: Accept Total: 12 tasks (clean, trackable) ❌ WRONG - 50 Tasks (overwhelming): Every single action as separate task: - Read file 1 - Read file 2 - Write file 3 - Run command 1 - ... (50 tasks) Problem: User overwhelmed, can't see forest for trees
Guideline by Workflow Duration:
Workflow Duration → Task Count: < 5 minutes: 3-5 tasks 5-15 minutes: 8-12 tasks 15-30 minutes: 12-18 tasks > 30 minutes: 15-20 tasks (if more, group into phases) Example: 5-minute workflow (3 phases): - PHASE 1: Prepare - PHASE 2: Execute - PHASE 3: Present Total: 3 tasks ✓ 20-minute workflow (6 phases): - PHASE 1: Ask user - PHASE 2: Plan (2 sub-tasks) - PHASE 3: Implement (3 sub-tasks) - PHASE 4: Test - PHASE 5: Review (2 sub-tasks) - PHASE 6: Accept Total: 11 tasks ✓
Pattern 3: Status Transitions
Exactly ONE Task In Progress at a Time:
Maintain the invariant: exactly one task in_progress at any moment:
✅ CORRECT - One In-Progress: State at time T1: [✓] PHASE 1: Ask user (completed) [✓] PHASE 2: Plan (completed) [→] PHASE 3: Implement (in_progress) ← Only one [ ] PHASE 4: Test (pending) [ ] PHASE 5: Review (pending) State at time T2 (after PHASE 3 completes): [✓] PHASE 1: Ask user (completed) [✓] PHASE 2: Plan (completed) [✓] PHASE 3: Implement (completed) [→] PHASE 4: Test (in_progress) ← Only one [ ] PHASE 5: Review (pending) ❌ WRONG - Multiple In-Progress: State: [✓] PHASE 1: Ask user (completed) [→] PHASE 2: Plan (in_progress) ← Two in-progress? [→] PHASE 3: Implement (in_progress) ← Confusing! [ ] PHASE 4: Test (pending) Problem: User confused about current phase
Status Transition Sequence:
Lifecycle of a Task: 1. Created: pending (Task exists, not started yet) 2. Started: pending → in_progress (Mark as in_progress when starting work) 3. Completed: in_progress → completed (Mark as completed immediately after finishing) 4. Next task: Mark next task as in_progress (Continue to next task) Example Timeline: T=0s: [→] Task 1 (in_progress), [ ] Task 2 (pending) T=30s: [✓] Task 1 (completed), [→] Task 2 (in_progress) T=60s: [✓] Task 1 (completed), [✓] Task 2 (completed)
NEVER Batch Completions:
Mark tasks completed immediately after finishing, not at end of phase:
✅ CORRECT - Immediate Updates: Mark "PHASE 1: Ask user" as in_progress ... do work (30s) ... Mark "PHASE 1: Ask user" as completed ← Immediate Mark "PHASE 1: Validate inputs" as in_progress ... do work (20s) ... Mark "PHASE 1: Validate inputs" as completed ← Immediate User sees real-time progress ❌ WRONG - Batched Updates: Mark "PHASE 1: Ask user" as in_progress ... do work (30s) ... Mark "PHASE 1: Validate inputs" as in_progress ... do work (20s) ... (At end of PHASE 1, batch update both to completed) Problem: User doesn't see progress for 50s, thinks workflow is stuck
Pattern 4: Real-Time Progress Tracking
Update TodoWrite As Work Progresses:
TodoWrite should reflect current state, not past state:
✅ CORRECT - Real-Time Updates: T=0s: Initialize TodoWrite (8 tasks, all pending) T=5s: Mark "PHASE 1" as in_progress T=35s: Mark "PHASE 1" as completed, "PHASE 2" as in_progress T=90s: Mark "PHASE 2" as completed, "PHASE 3" as in_progress ... User always sees accurate current state ❌ WRONG - Delayed Updates: T=0s: Initialize TodoWrite T=300s: Workflow completes T=301s: Update all tasks to completed Problem: No progress visibility for 5 minutes
Add New Tasks If Discovered During Execution:
If you discover additional work during execution, add new tasks:
Scenario: During implementation, realize refactoring needed Initial TodoWrite: [✓] PHASE 1: Plan [→] PHASE 2: Implement [ ] PHASE 3: Test [ ] PHASE 4: Review During PHASE 2, discover: "Implementation requires refactoring legacy code" Updated TodoWrite: [✓] PHASE 1: Plan [✓] PHASE 2: Implement core logic (completed) [→] PHASE 2: Refactor legacy code (in_progress) ← New task added [ ] PHASE 3: Test [ ] PHASE 4: Review User sees: "Additional work discovered: refactoring. Total now 5 tasks."
User Can See Current Progress at Any Time:
With real-time updates, user can check progress:
User checks at T=120s: TodoWrite State: [✓] PHASE 1: Ask user [✓] PHASE 2: Plan architecture [→] PHASE 3: Implement core logic (in_progress) [ ] PHASE 3: Add error handling [ ] PHASE 3: Write tests [ ] PHASE 4: Code review [ ] PHASE 5: Accept User sees: "3/8 tasks complete (37.5%), currently implementing core logic"
Pattern 5: Iteration Loop Tracking
Create Task Per Iteration:
For iteration loops, create a task for each iteration:
✅ CORRECT - Iteration Tasks: Design Validation Loop (max 10 iterations): Initial TodoWrite: [ ] Iteration 1/10: Designer validation [ ] Iteration 2/10: Designer validation [ ] Iteration 3/10: Designer validation ... (create all 10 upfront) Progress: [✓] Iteration 1/10: Designer validation (NEEDS IMPROVEMENT) [✓] Iteration 2/10: Designer validation (NEEDS IMPROVEMENT) [→] Iteration 3/10: Designer validation (in_progress) [ ] Iteration 4/10: Designer validation ... User sees: "Iteration 3/10 in progress, 2 complete" ❌ WRONG - Single Loop Task: TodoWrite: [→] Design validation loop (in_progress) Problem: User sees "in_progress" for 10 minutes, no iteration visibility
Mark Iteration Complete When Done:
Iteration Lifecycle: Iteration 1: Mark "Iteration 1/10" as in_progress Run designer validation If NEEDS IMPROVEMENT: Run developer fixes Mark "Iteration 1/10" as completed Iteration 2: Mark "Iteration 2/10" as in_progress Run designer validation If PASS: Exit loop early Mark "Iteration 2/10" as completed Result: Loop exited after 2 iterations [✓] Iteration 1/10 (completed) [✓] Iteration 2/10 (completed) [ ] Iteration 3/10 (not needed, loop exited) ... User sees: "Loop completed in 2/10 iterations"
Track Total Iterations vs Max Limit:
Iteration Progress: Max: 10 iterations Current: 5 TodoWrite State: [✓] Iteration 1/10 [✓] Iteration 2/10 [✓] Iteration 3/10 [✓] Iteration 4/10 [→] Iteration 5/10 [ ] Iteration 6/10 ... User sees: "Iteration 5/10 (50% through max)" Warning at Iteration 8: "Iteration 8/10 - approaching max, may escalate to user if not PASS"
Clear Progress Visibility:
Iteration Loop with TodoWrite: User Request: "Validate UI design" TodoWrite: [✓] PHASE 1: Gather design reference [✓] Iteration 1/10: Designer validation (5 issues found) [✓] Iteration 2/10: Designer validation (3 issues found) [✓] Iteration 3/10: Designer validation (1 issue found) [→] Iteration 4/10: Designer validation (in_progress) [ ] Iteration 5/10: Designer validation ... [ ] PHASE 3: User validation gate User sees: - 4 iterations completed (40% through max) - Issues reducing each iteration (5 → 3 → 1) - Progress toward PASS
Pattern 6: Parallel Task Tracking
Multiple Agents Executing Simultaneously:
When running agents in parallel, track each separately:
✅ CORRECT - Separate Tasks for Parallel Agents: Multi-Model Review (3 models in parallel): TodoWrite: [✓] PHASE 1: Prepare review context [→] PHASE 2: Claude review (in_progress) [→] PHASE 2: Grok review (in_progress) [→] PHASE 2: Gemini review (in_progress) [ ] PHASE 3: Consolidate reviews Note: 3 tasks "in_progress" is OK for parallel execution (Exception to "one in_progress" rule) As models complete: [✓] PHASE 1: Prepare review context [✓] PHASE 2: Claude review (completed) ← First to finish [→] PHASE 2: Grok review (in_progress) [→] PHASE 2: Gemini review (in_progress) [ ] PHASE 3: Consolidate reviews User sees: "1/3 reviews complete, 2 in progress" ❌ WRONG - Single Task for Parallel Work: TodoWrite: [✓] PHASE 1: Prepare [→] PHASE 2: Run 3 reviews (in_progress) [ ] PHASE 3: Consolidate Problem: No visibility into which reviews are complete
Update As Each Agent Completes:
Parallel Execution Timeline: T=0s: Launch 3 reviews in parallel [→] Claude review (in_progress) [→] Grok review (in_progress) [→] Gemini review (in_progress) T=60s: Claude completes first [✓] Claude review (completed) [→] Grok review (in_progress) [→] Gemini review (in_progress) T=120s: Gemini completes [✓] Claude review (completed) [→] Grok review (in_progress) [✓] Gemini review (completed) T=180s: Grok completes [✓] Claude review (completed) [✓] Grok review (completed) [✓] Gemini review (completed) User sees real-time completion updates
Progress Indicators During Long Parallel Tasks:
For long-running parallel tasks (>2 minutes), show progress: T=0s: "Launching 5 AI model reviews (estimated 5 minutes)..." T=60s: "1/5 reviews complete..." T=120s: "2/5 reviews complete..." T=180s: "4/5 reviews complete, 1 in progress..." T=240s: "All reviews complete! Consolidating results..." TodoWrite mirrors this: [✓] Claude review (1/5 complete) [✓] Grok review (2/5 complete) [→] Gemini review (in_progress) [→] GPT-5 review (in_progress) [→] DeepSeek review (in_progress)
Integration with Other Skills
todowrite-orchestration + multi-agent-coordination:
Use Case: Multi-phase implementation workflow Step 1: Initialize TodoWrite (todowrite-orchestration) Create task list for all 8 phases Step 2: Sequential Agent Delegation (multi-agent-coordination) Phase 1: api-architect Mark PHASE 1 as in_progress Delegate to api-architect Mark PHASE 1 as completed Phase 2: backend-developer Mark PHASE 2 as in_progress Delegate to backend-developer Mark PHASE 2 as completed ... continue for all phases
todowrite-orchestration + multi-model-validation:
Use Case: Multi-model review with progress tracking Step 1: Initialize TodoWrite (todowrite-orchestration) [ ] PHASE 1: Prepare context [ ] PHASE 2: Launch reviews (5 models) [ ] PHASE 3: Consolidate results Step 2: Parallel Execution (multi-model-validation) Mark "PHASE 2: Launch reviews" as in_progress Launch all 5 models simultaneously As each completes: Update progress (1/5, 2/5, ...) Mark "PHASE 2: Launch reviews" as completed Step 3: Real-Time Visibility (todowrite-orchestration) User sees: "PHASE 2: 3/5 reviews complete..."
todowrite-orchestration + quality-gates:
Use Case: Iteration loop with TodoWrite tracking Step 1: Initialize TodoWrite (todowrite-orchestration) [ ] Iteration 1/10 [ ] Iteration 2/10 ... Step 2: Iteration Loop (quality-gates) For i = 1 to 10: Mark "Iteration i/10" as in_progress Run designer validation If PASS: Exit loop Mark "Iteration i/10" as completed Step 3: Progress Visibility User sees: "Iteration 5/10 complete, 5 remaining"
Best Practices
Do:
- ✅ Initialize TodoWrite BEFORE starting work (step 0)
- ✅ List ALL phases upfront (user sees complete scope)
- ✅ Use 8-15 tasks for typical workflows (readable)
- ✅ Mark completed IMMEDIATELY after finishing (real-time)
- ✅ Keep exactly ONE task in_progress (except parallel tasks)
- ✅ Track iterations separately (Iteration 1/10, 2/10, ...)
- ✅ Update as work progresses (not batched at end)
- ✅ Add new tasks if discovered during execution
Don't:
- ❌ Create TodoWrite during workflow (initialize first)
- ❌ Hide phases from user (list all upfront)
- ❌ Create too many tasks (>20 overwhelms user)
- ❌ Batch completions at end of phase (update real-time)
- ❌ Leave multiple tasks in_progress (pick one)
- ❌ Use single task for loop (track iterations separately)
- ❌ Update only at start/end (update during execution)
Performance:
- TodoWrite overhead: <1s per update (negligible)
- User visibility benefit: Reduces perceived wait time 30-50%
- Workflow confidence: User knows progress, less likely to cancel
Examples
Example 1: 8-Phase Implementation Workflow
Scenario: Full-cycle implementation with TodoWrite tracking
Execution:
Step 0: Initialize TodoWrite TodoWrite: Create task list [ ] PHASE 1: Ask user for requirements [ ] PHASE 2: Generate architecture plan [ ] PHASE 3: Implement core logic [ ] PHASE 3: Add error handling [ ] PHASE 3: Write tests [ ] PHASE 4: Run test suite [ ] PHASE 5: Code review [ ] PHASE 6: Fix review issues [ ] PHASE 7: User acceptance [ ] PHASE 8: Generate report User sees: "10 tasks, 0 complete, Phase 1 starting..." Step 1: PHASE 1 Mark "PHASE 1: Ask user" as in_progress ... gather requirements (30s) ... Mark "PHASE 1: Ask user" as completed User sees: "1/10 tasks complete (10%)" Step 2: PHASE 2 Mark "PHASE 2: Architecture plan" as in_progress ... generate plan (2 min) ... Mark "PHASE 2: Architecture plan" as completed User sees: "2/10 tasks complete (20%)" Step 3: PHASE 3 (3 sub-tasks) Mark "PHASE 3: Implement core" as in_progress ... implement (3 min) ... Mark "PHASE 3: Implement core" as completed User sees: "3/10 tasks complete (30%)" Mark "PHASE 3: Add error handling" as in_progress ... add error handling (2 min) ... Mark "PHASE 3: Add error handling" as completed User sees: "4/10 tasks complete (40%)" Mark "PHASE 3: Write tests" as in_progress ... write tests (3 min) ... Mark "PHASE 3: Write tests" as completed User sees: "5/10 tasks complete (50%)" ... continue through all phases ... Final State: [✓] All 10 tasks completed User sees: "10/10 tasks complete (100%). Workflow finished!" Total Duration: ~15 minutes User Experience: Continuous progress updates every 1-3 minutes
Example 2: Iteration Loop with Progress Tracking
Scenario: Design validation with 10 max iterations
Execution:
Step 0: Initialize TodoWrite TodoWrite: Create task list [ ] PHASE 1: Gather design reference [ ] Iteration 1/10: Designer validation [ ] Iteration 2/10: Designer validation [ ] Iteration 3/10: Designer validation [ ] Iteration 4/10: Designer validation [ ] Iteration 5/10: Designer validation ... (10 iterations total) [ ] PHASE 3: User validation gate Step 1: PHASE 1 Mark "PHASE 1: Gather design" as in_progress ... gather design (20s) ... Mark "PHASE 1: Gather design" as completed Step 2: Iteration Loop Iteration 1: Mark "Iteration 1/10" as in_progress Designer: "NEEDS IMPROVEMENT - 5 issues" Developer: Fix 5 issues Mark "Iteration 1/10" as completed User sees: "Iteration 1/10 complete, 5 issues fixed" Iteration 2: Mark "Iteration 2/10" as in_progress Designer: "NEEDS IMPROVEMENT - 3 issues" Developer: Fix 3 issues Mark "Iteration 2/10" as completed User sees: "Iteration 2/10 complete, 3 issues fixed" Iteration 3: Mark "Iteration 3/10" as in_progress Designer: "NEEDS IMPROVEMENT - 1 issue" Developer: Fix 1 issue Mark "Iteration 3/10" as completed User sees: "Iteration 3/10 complete, 1 issue fixed" Iteration 4: Mark "Iteration 4/10" as in_progress Designer: "PASS ✓" Mark "Iteration 4/10" as completed Exit loop (early exit) User sees: "Loop completed in 4/10 iterations" Step 3: PHASE 3 Mark "PHASE 3: User validation" as in_progress ... user validates ... Mark "PHASE 3: User validation" as completed Final State: [✓] PHASE 1: Gather design [✓] Iteration 1/10 (5 issues fixed) [✓] Iteration 2/10 (3 issues fixed) [✓] Iteration 3/10 (1 issue fixed) [✓] Iteration 4/10 (PASS) [ ] Iteration 5/10 (not needed) ... [✓] PHASE 3: User validation User Experience: Clear iteration progress, early exit visible
Example 3: Parallel Multi-Model Review
Scenario: 5 AI models reviewing code in parallel
Execution:
Step 0: Initialize TodoWrite TodoWrite: Create task list [ ] PHASE 1: Prepare review context [ ] PHASE 2: Claude review [ ] PHASE 2: Grok review [ ] PHASE 2: Gemini review [ ] PHASE 2: GPT-5 review [ ] PHASE 2: DeepSeek review [ ] PHASE 3: Consolidate reviews [ ] PHASE 4: Present results Step 1: PHASE 1 Mark "PHASE 1: Prepare context" as in_progress ... prepare (30s) ... Mark "PHASE 1: Prepare context" as completed Step 2: PHASE 2 (Parallel Execution) Mark all 5 reviews as in_progress: [→] Claude review [→] Grok review [→] Gemini review [→] GPT-5 review [→] DeepSeek review Launch all 5 in parallel (4-Message Pattern) As each completes: T=60s: Claude completes [✓] Claude review User sees: "1/5 reviews complete" T=90s: Gemini completes [✓] Gemini review User sees: "2/5 reviews complete" T=120s: GPT-5 completes [✓] GPT-5 review User sees: "3/5 reviews complete" T=150s: Grok completes [✓] Grok review User sees: "4/5 reviews complete" T=180s: DeepSeek completes [✓] DeepSeek review User sees: "5/5 reviews complete!" Step 3: PHASE 3 Mark "PHASE 3: Consolidate" as in_progress ... consolidate (30s) ... Mark "PHASE 3: Consolidate" as completed Step 4: PHASE 4 Mark "PHASE 4: Present results" as in_progress ... present (10s) ... Mark "PHASE 4: Present results" as completed Final State: [✓] All 8 tasks completed User sees: "Multi-model review complete in 3 minutes" User Experience: - Real-time progress as each model completes - Clear visibility: "3/5 reviews complete" - Reduces perceived wait time (user knows progress)
Troubleshooting
Problem: User thinks workflow is stuck
Cause: No TodoWrite updates for >1 minute
Solution: Update TodoWrite more frequently, or add sub-tasks
❌ Wrong: [→] PHASE 3: Implementation (in_progress for 10 minutes) ✅ Correct: [✓] PHASE 3: Implement core logic (2 min) [✓] PHASE 3: Add error handling (3 min) [→] PHASE 3: Write tests (in_progress, 2 min so far) User sees progress every 2-3 minutes
Problem: Too many tasks (>20), overwhelming
Cause: Too granular task breakdown
Solution: Group micro-tasks into larger operations
❌ Wrong (25 tasks): [ ] Read file 1 [ ] Read file 2 [ ] Write file 3 ... (25 micro-tasks) ✅ Correct (8 tasks): [ ] PHASE 1: Gather inputs (includes reading files) [ ] PHASE 2: Process data ... (8 significant operations)
Problem: Multiple tasks "in_progress" (not parallel execution)
Cause: Forgot to mark previous task as completed
Solution: Always mark completed before starting next
❌ Wrong: [→] PHASE 1: Ask user (in_progress) [→] PHASE 2: Plan (in_progress) ← Both in_progress? ✅ Correct: [✓] PHASE 1: Ask user (completed) [→] PHASE 2: Plan (in_progress) ← Only one
Summary
TodoWrite orchestration provides real-time progress visibility through:
- Phase initialization (create task list before starting)
- Appropriate granularity (8-15 tasks, significant operations)
- Real-time updates (mark completed immediately)
- Exactly one in_progress (except parallel execution)
- Iteration tracking (separate task per iteration)
- Parallel task tracking (update as each completes)
Master these patterns and users will always know:
- What's happening now
- What's coming next
- How much progress has been made
- How much remains
This transforms "black box" workflows into transparent, trackable processes.
Extracted From:
command (10-task initialization, phase-based tracking)/review
command (8-phase workflow with sub-tasks)/implement
command (iteration tracking, user feedback rounds)/validate-ui- All multi-phase orchestration workflows