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catlog22
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refactor: enhance conflict resolution command with modification suggestions for custom handling
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.claude/commands/workflow/execute.md

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@@ -11,6 +11,17 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
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**Resume Mode**: When called with `--resume-session` flag, skips discovery phase and directly enters TodoWrite generation and agent execution for the specified session.
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## Performance Optimization Strategy
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**Lazy Loading**: Task JSONs read **on-demand** during execution, not upfront. TODO_LIST.md + IMPL_PLAN.md provide metadata for planning.
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| Metric | Before | After | Improvement |
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|--------|--------|-------|-------------|
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| **Initial Load** | All task JSONs (~2,300 lines) | TODO_LIST.md only (~650 lines) | **72% reduction** |
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| **Startup Time** | Seconds | Milliseconds | **~90% faster** |
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| **Memory** | All tasks | 1-2 tasks | **90% less** |
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| **Scalability** | 10-20 tasks | 100+ tasks | **5-10x** |
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## Core Rules
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**Complete entire workflow autonomously without user interruption, using TodoWrite for comprehensive progress tracking.**
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**Execute all discovered pending tasks sequentially until workflow completion or blocking dependency.**
@@ -63,40 +74,69 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
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### Phase 1: Discovery (Normal Mode Only)
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1. **Check Active Sessions**: Find `.workflow/.active-*` markers
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2. **Select Session**: If multiple found, prompt user selection
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3. **Load Session State**: Read `workflow-session.json` and `IMPL_PLAN.md`
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4. **Scan Tasks**: Analyze `.task/*.json` files for ready tasks
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3. **Load Session Metadata**: Read `workflow-session.json` ONLY (minimal context)
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4. **DO NOT read task JSONs yet** - defer until execution phase
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**Note**: In resume mode, this phase is completely skipped.
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### Phase 2: Analysis (Normal Mode Only)
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1. **Dependency Resolution**: Build execution order based on `depends_on`
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2. **Status Validation**: Filter tasks with `status: "pending"` and met dependencies
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3. **Agent Assignment**: Determine agent type from `meta.agent` or `meta.type`
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4. **Context Preparation**: Load dependency summaries and inherited context
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### Phase 2: Planning Document Analysis (Normal Mode Only)
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**Optimized to avoid reading all task JSONs upfront**
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1. **Read IMPL_PLAN.md**: Understand overall strategy, task breakdown summary, dependencies
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2. **Read TODO_LIST.md**: Get current task statuses and execution progress
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3. **Extract Task Metadata**: Parse task IDs, titles, and dependency relationships from TODO_LIST.md
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4. **Build Execution Queue**: Determine ready tasks based on TODO_LIST.md status and dependencies
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**Key Optimization**: Use IMPL_PLAN.md and TODO_LIST.md as primary sources instead of reading all task JSONs
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**Note**: In resume mode, this phase is also skipped as session analysis was already completed by `/workflow:status`.
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### Phase 3: Planning (Resume Mode Entry Point)
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### Phase 3: TodoWrite Generation (Resume Mode Entry Point)
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**This is where resume mode directly enters after skipping Phases 1 & 2**
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1. **Create TodoWrite List**: Generate task list with status markers from session state
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2. **Mark Initial Status**: Set first pending task as `in_progress`
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1. **Create TodoWrite List**: Generate task list from TODO_LIST.md (not from task JSONs)
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- Parse TODO_LIST.md to extract all tasks with current statuses
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- Identify first pending task with met dependencies
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- Generate comprehensive TodoWrite covering entire workflow
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2. **Mark Initial Status**: Set first ready task as `in_progress` in TodoWrite
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3. **Prepare Session Context**: Inject workflow paths for agent use (using provided session-id)
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4. **Prepare Complete Task JSON**: Include pre_analysis and flow control steps for agent consumption
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5. **Validate Prerequisites**: Ensure all required context is available from existing session
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4. **Validate Prerequisites**: Ensure IMPL_PLAN.md and TODO_LIST.md exist and are valid
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**Resume Mode Behavior**:
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- Load existing session state directly from `.workflow/{session-id}/`
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- Use session's task files and summaries without discovery
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- Generate TodoWrite from current session progress
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- Proceed immediately to agent execution
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### Phase 4: Execution
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1. **Pass Task with Flow Control**: Include complete task JSON with `pre_analysis` steps for agent execution
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2. **Launch Agent**: Invoke specialized agent with complete context including flow control steps
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3. **Monitor Progress**: Track agent execution and handle errors without user interruption
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4. **Collect Results**: Gather implementation results and outputs
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5. **Continue Workflow**: Automatically proceed to next pending task until completion
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- Load existing TODO_LIST.md directly from `.workflow/{session-id}/`
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- Extract current progress from TODO_LIST.md
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- Generate TodoWrite from TODO_LIST.md state
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- Proceed immediately to agent execution (Phase 4)
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### Phase 4: Execution (Lazy Task Loading)
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**Key Optimization**: Read task JSON **only when needed** for execution
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1. **Identify Next Task**: From TodoWrite, get the next `in_progress` task ID
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2. **Load Task JSON on Demand**: Read `.task/{task-id}.json` for current task ONLY
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3. **Validate Task Structure**: Ensure all 5 required fields exist (id, title, status, meta, context, flow_control)
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4. **Pass Task with Flow Control**: Include complete task JSON with `pre_analysis` steps for agent execution
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5. **Launch Agent**: Invoke specialized agent with complete context including flow control steps
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6. **Monitor Progress**: Track agent execution and handle errors without user interruption
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7. **Collect Results**: Gather implementation results and outputs
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8. **Update TODO_LIST.md**: Mark current task as completed in TODO_LIST.md
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9. **Continue Workflow**: Identify next pending task from TODO_LIST.md and repeat from step 1
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**Execution Loop Pattern**:
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```
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while (TODO_LIST.md has pending tasks) {
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next_task_id = getTodoWriteInProgressTask()
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task_json = Read(.workflow/{session}/.task/{next_task_id}.json) // Lazy load
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executeTaskWithAgent(task_json)
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updateTodoListMarkCompleted(next_task_id)
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advanceTodoWriteToNextTask()
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}
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```
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**Benefits**:
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- Reduces initial context loading by ~90%
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- Only reads task JSON when actually executing
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- Scales better for workflows with many tasks
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- Faster startup time for workflow execution
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### Phase 5: Completion
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1. **Update Task Status**: Mark completed tasks in JSON files
@@ -108,27 +148,33 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
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## Task Discovery & Queue Building
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### Session Discovery Process (Normal Mode)
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### Session Discovery Process (Normal Mode - Optimized)
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```
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├── Check for .active-* markers in .workflow/
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├── If multiple active sessions found → Prompt user to select
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├── Locate selected session's workflow folder
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├── Load selected session's workflow-session.json and IMPL_PLAN.md
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├── Scan selected session's .task/ directory for task JSON files
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├── Analyze task statuses and dependencies for selected session only
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└── Build execution queue of ready tasks from selected session
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├── Load session metadata: workflow-session.json (minimal context)
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├── Read IMPL_PLAN.md (strategy overview and task summary)
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├── Read TODO_LIST.md (current task statuses and dependencies)
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├── Parse TODO_LIST.md to extract task metadata (NO JSON loading)
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├── Build execution queue from TODO_LIST.md
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└── Generate TodoWrite from TODO_LIST.md state
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```
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### Resume Mode Process (--resume-session flag)
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**Key Change**: Task JSONs are NOT loaded during discovery - they are loaded lazily during execution
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### Resume Mode Process (--resume-session flag - Optimized)
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```
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├── Use provided session-id directly (skip discovery)
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├── Validate .workflow/{session-id}/ directory exists
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├── Load session's workflow-session.json and IMPL_PLAN.md directly
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├── Scan session's .task/ directory for task JSON files
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├── Use existing task statuses and dependencies (no re-analysis needed)
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└── Build execution queue from session state (prioritize pending/in-progress tasks)
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├── Read TODO_LIST.md for current progress
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├── Parse TODO_LIST.md to extract task IDs and statuses
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├── Generate TodoWrite from TODO_LIST.md (prioritize in-progress/pending tasks)
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└── Enter Phase 4 (Execution) with lazy task JSON loading
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```
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**Key Change**: Completely skip IMPL_PLAN.md and task JSON loading - use TODO_LIST.md only
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### Task Status Logic
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```
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pending + dependencies_met → executable
@@ -141,52 +187,72 @@ blocked → skip until dependencies clear
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### Parallel Execution Algorithm
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**Core principle**: Execute independent tasks concurrently in batches based on dependency graph.
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#### Algorithm Steps
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#### Algorithm Steps (Optimized with Lazy Loading)
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```javascript
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function executeBatchWorkflow(sessionId) {
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// 1. Build dependency graph from task JSONs
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const graph = buildDependencyGraph(`.workflow/${sessionId}/.task/*.json`);
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// 1. Build dependency graph from TODO_LIST.md (NOT task JSONs)
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const graph = buildDependencyGraphFromTodoList(`.workflow/${sessionId}/TODO_LIST.md`);
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// 2. Process batches until graph is empty
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while (!graph.isEmpty()) {
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// 3. Identify current batch (tasks with in-degree = 0)
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const batch = graph.getNodesWithInDegreeZero();
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// 4. Check for parallel execution opportunities
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const parallelGroups = groupByExecutionGroup(batch);
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// 4. Load task JSONs ONLY for current batch (lazy loading)
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const batchTaskJsons = batch.map(taskId =>
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Read(`.workflow/${sessionId}/.task/${taskId}.json`)
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);
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// 5. Check for parallel execution opportunities
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const parallelGroups = groupByExecutionGroup(batchTaskJsons);
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// 5. Execute batch concurrently
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// 6. Execute batch concurrently
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await Promise.all(
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parallelGroups.map(group => executeBatch(group))
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);
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// 6. Update graph: remove completed tasks and their edges
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// 7. Update graph: remove completed tasks and their edges
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graph.removeNodes(batch);
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// 7. Update TodoWrite to reflect completed batch
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// 8. Update TODO_LIST.md and TodoWrite to reflect completed batch
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updateTodoListAfterBatch(batch);
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updateTodoWriteAfterBatch(batch);
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}
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// 8. All tasks complete - auto-complete session
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// 9. All tasks complete - auto-complete session
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SlashCommand("/workflow:session:complete");
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}
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function buildDependencyGraph(taskFiles) {
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const tasks = loadAllTaskJSONs(taskFiles);
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function buildDependencyGraphFromTodoList(todoListPath) {
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const todoContent = Read(todoListPath);
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const tasks = parseTodoListTasks(todoContent);
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const graph = new DirectedGraph();
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tasks.forEach(task => {
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graph.addNode(task.id, task);
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// Add edges for dependencies
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task.context.depends_on?.forEach(depId => {
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graph.addEdge(depId, task.id); // Edge from dependency to task
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});
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graph.addNode(task.id, { id: task.id, title: task.title, status: task.status });
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task.dependencies?.forEach(depId => graph.addEdge(depId, task.id));
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});
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return graph;
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}
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function parseTodoListTasks(todoContent) {
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// Parse: - [ ] **IMPL-001**: Task title → [📋](./.task/IMPL-001.json)
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const taskPattern = /- \[([ x])\] \*\*([A-Z]+-\d+(?:\.\d+)?)\*\*: (.+?) →/g;
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const tasks = [];
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let match;
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while ((match = taskPattern.exec(todoContent)) !== null) {
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tasks.push({
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status: match[1] === 'x' ? 'completed' : 'pending',
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id: match[2],
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title: match[3]
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});
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}
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return tasks;
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}
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function groupByExecutionGroup(tasks) {
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const groups = {};
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@@ -338,11 +404,12 @@ TodoWrite({
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- **Workflow Completion Check**: When all tasks marked `completed`, auto-call `/workflow:session:complete`
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#### TODO_LIST.md Update Timing
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- **Before Agent Launch**: Update TODO_LIST.md to mark task as `in_progress` (⚠️)
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- **After Task Complete**: Update TODO_LIST.md to mark as `completed` (✅), advance to next
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- **On Error**: Keep as `in_progress` in TODO_LIST.md, add error note
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- **Workflow Complete**: When all tasks completed, call `/workflow:session:complete`
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- **Session End**: Sync all TODO_LIST.md statuses with JSON task files
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**Single source of truth for task status** - enables lazy loading by providing task metadata without reading JSONs
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- **Before Agent Launch**: Mark task as `in_progress` (⚠️)
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- **After Task Complete**: Mark as `completed` (✅), advance to next
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- **On Error**: Keep as `in_progress`, add error note
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- **Workflow Complete**: Call `/workflow:session:complete`
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### 3. Agent Context Management
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**Comprehensive context preparation** for autonomous agent execution:
@@ -423,7 +490,7 @@ Task(subagent_type="{meta.agent}",
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3. **Implement Solution**: Follow `flow_control.implementation_approach` using accumulated context
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4. **Complete Task**:
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- Update task status: `jq '.status = \"completed\"' {session.task_json_path} > temp.json && mv temp.json {session.task_json_path}`
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- Update TODO list: {session.todo_list_path}
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- Update TODO_LIST.md: Mark task as [x] completed in {session.todo_list_path}
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- Generate summary: {session.summaries_dir}/{task.id}-summary.md
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- Check workflow completion and call `/workflow:session:complete` if all tasks done
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