Task Execution Orchestrator

You are the main orchestrator for executing PRD implementation tasks. You coordinate layer-by-layer execution through a 4-level hierarchy:

code

/execute (you)
    └─► /execute-layer (per layer)
            └─► /execute-batch (per batch)
                    ├─► /execute-task (per task, parallel)
                    │       └─► /execute-verify (verification)
                    └─► /execute-merge (sequential merges)

Arguments

See .claude/skills/execute/references/options.md for complete documentation.

Required

•<tasks-path>: Path to tasks directory (contains manifest.json, layer_plan.json)

Common Options

code

--project-path <path>   Target project (optional if in manifest)
--worktree-dir <path>   Worktree directory (default: {project}/../.worktrees)
--max-parallel <N>      Max concurrent tasks (default: 3)
--layer <name>          Execute specific layer only
--task <id>             Execute specific task only
--resume                Resume from existing state
--reset                 Delete state and start fresh
--dry-run               Show plan without executing

Execution Flow

Step 1: Parse Arguments

Extract all arguments from the prompt:

python

tasks_path = required
project_path = optional  # from args or manifest
worktree_dir = optional  # default derived from project_path
max_parallel = 3
layer_filter = None
task_filter = None
resume = False
reset = False
dry_run = False

Step 2: Load Manifest

Read manifest.json:

bash

cat {tasks_path}/manifest.json

Extract:

•prd.slug: PRD identifier
•prd.project_path: Default project path (if not specified in args)
•layers: Layer definitions
•summary.total_tasks: Total task count

Project path resolution:

•Use --project-path if provided
•Fall back to manifest.prd.project_path if exists
•Error if neither available

Step 3: Validate Inputs

Check:

•Tasks path exists
•manifest.json exists
•layer_plan.json exists
•Project path exists (or will be created for greenfield)
•Git repository initialized in project

bash

test -d {tasks_path}
test -f {tasks_path}/manifest.json
test -f {tasks_path}/layer_plan.json
test -d {project_path}
test -d {project_path}/.git

Step 4: Handle State

If --reset:

bash

rm -f {tasks_path}/execute-state.json

If --resume:

python

if state_file_exists:
    state = load_state()
    validate_state_schema()
else:
    error("No state file to resume from")

If new execution:

python

if state_file_exists:
    ask_user("State file exists. Resume or start fresh?")
else:
    state = init_state()

Step 5: Dry Run (if requested)

If --dry-run:

code

Execution Plan: {prd_slug}
Project: {project_path}
Worktrees: {worktree_dir}

Layer 0-setup (4 tasks):
  Batch 1: L0-001 → L0-002 → L0-003 → L0-004 (sequential)

Layer 1-foundation (6 tasks):
  Batch 1: L1-001, L1-002, L1-006 (parallel, 3 tasks)
  Batch 2: L1-003 (depends on L1-002)
  Batch 3: L1-004, L1-005 (depends on L1-003)

Layer 2-backend (9 tasks):
  Batch 1: L2-001, L2-002, L2-003 (parallel)
  ...

Total: 48 tasks
Estimated batches: 15
Max parallelism: 3

Exit after dry run output.

Step 6: Execute Layers

For each layer in order:

python

layers = ["0-setup", "1-foundation", "2-backend", "3-frontend", "4-integration"]

for layer in layers:
    # Skip if filter doesn't match
    if layer_filter and layer != layer_filter:
        continue

    # Skip if already completed
    if state["layers"].get(layer, {}).get("status") == "completed":
        print(f"[EXEC] Skipping {layer} (already completed)")
        continue

    # Execute layer
    print(f"[EXEC] Starting {layer}")
    result = invoke_layer(layer)

    # Check for stop condition
    if result["should_stop"]:
        print(f"[EXEC] STOPPED: {result['stop_reason']}")
        update_state(status="stopped")
        report_final_status()
        return

    print(f"[EXEC] {layer} complete ({result['tasks_completed']}/{result['tasks_total']})")

Step 7: Invoke Layer Agent

For each layer, call /execute-layer:

code

/execute-layer --tasks-path {tasks_path} --layer {layer} --project-path {project_path} --worktree-dir {worktree_dir} --max-parallel {max_parallel}

Wait for layer completion and parse LAYER_RESULT.

Step 8: Handle Stop Condition

If any layer returns should_stop: true:

•A task was abandoned (5 failed attempts)
•Update state to stopped
•
Output clear message with:
- •Which task failed
- •Path to preserved worktree
- •How to resume

code

STOPPED: Task L2-006 abandoned after 5 attempts

Completed: 15/48 tasks
Abandoned: L2-006
Blocked: 32 tasks (dependencies not met)

Worktree preserved: {worktree_dir}/L2-006
Review errors and fix issues, then run:
  /execute {tasks_path} --resume

Step 9: Report Final Status

On completion:

code

Execution Complete: {prd_slug}

Layers:
  0-setup:      4/4 completed
  1-foundation: 6/6 completed
  2-backend:    9/9 completed
  3-frontend:   13/13 completed
  4-integration: 12/12 completed

Total: 44/44 tasks completed
Duration: 2h 15m
Retries: 3 (all succeeded)

Step 10: Finalize Context (CRD Projects)

If PROJECT.md exists in the project root, update it with implemented features.

Check for PROJECT.md:

bash

test -f {project_path}/PROJECT.md

If exists, update context:

•
Read all completed task XML files
•
Extract <exports> sections from each task
•
Map exports to PROJECT.md sections:
- •<api endpoint> → <api-registry>
- •<interface type="react-component"> → <features>
- •<interface type="sqlalchemy-model"> → <schema-registry>
•
Update PROJECT.md:
- •Add new features to <features> section
- •Add new endpoints to <api-registry> section
- •Add new models to <schema-registry> section
- •Update <last-context-hash> to current HEAD
- •Update <last-updated> timestamp
•
Commit the context update:

bash

git -C {project_path} add PROJECT.md
git -C {project_path} commit -m "docs: Update PROJECT.md with features from {prd_slug}"

•Update state with context finalization:

json

{
  "context_update": {
    "status": "completed",
    "project_md_path": "{project_path}/PROJECT.md",
    "features_added": ["feature-1", "feature-2"],
    "endpoints_added": ["/api/new-endpoint"],
    "models_added": ["NewModel"]
  }
}

If no PROJECT.md: Skip context finalization silently (not a CRD-based project).

Step 11: Complete

Update state:

json

{
  "status": "completed",
  "completed_at": "{now}"
}

Output final summary including context update if performed:

code

Execution Complete: {prd_slug}

Total: 44/44 tasks completed
Duration: 2h 15m

Context Update:
  - PROJECT.md updated at {project_path}/PROJECT.md
  - Features added: 3
  - Endpoints added: 5
  - Models added: 2
  - New context hash: {hash}

State Initialization

python

def init_state(prd_slug, project_path, worktree_dir, tasks_path, options):
    return {
        "schema_version": "2.0",
        "prd_slug": prd_slug,
        "project_path": project_path,
        "worktree_dir": worktree_dir,
        "tasks_path": tasks_path,
        "started_at": now(),
        "updated_at": now(),
        "completed_at": None,
        "status": "in_progress",
        "current_layer": None,
        "current_batch": None,
        "options": options,
        "layers": {},
        "tasks": {},
        "worktrees": {},
        "merge_queue": [],
        "completed": [],
        "failed": [],
        "abandoned": [],
        "metrics": {
            "tasks_total": total_tasks,
            "tasks_completed": 0,
            "tasks_failed": 0,
            "tasks_abandoned": 0,
            "tasks_remaining": total_tasks,
            "total_attempts": 0,
            "total_retries": 0,
            "elapsed_seconds": 0
        }
    }

Resume Behavior

On resume:

•Load existing state
•Find current layer (from current_layer or first incomplete)
•Re-evaluate ready queue within layer
•Continue execution from ready tasks
•Retry failed tasks (if attempts < 5)
•Skip completed and abandoned tasks

Error Handling

Missing Manifest

code

Error: manifest.json not found at {tasks_path}/manifest.json
Run /breakdown first to generate tasks.

Missing Project

If project path doesn't exist and not greenfield:

code

Error: Project path does not exist: {project_path}
For greenfield projects, Layer 0 will create it.

Git Not Initialized

code

Error: Git repository not initialized at {project_path}
Run: cd {project_path} && git init

Resume Without State

code

Error: No state file found at {tasks_path}/execute-state.json
Cannot resume. Start fresh without --resume flag.

Output Format

Minimal Mode (default)

code

[EXEC] Starting layer 0-setup (4 tasks)
[EXEC] Layer 0-setup complete (4/4)
[EXEC] Starting layer 1-foundation (6 tasks)
[EXEC] Layer 1-foundation complete (6/6)
...
[EXEC] All layers complete (44/44 tasks)

Verbose Mode

code

[EXEC] Execution Plan:
  PRD: voice-prd-generator
  Project: /home/user/projects/voice-prd
  Worktrees: /home/user/projects/.worktrees
  Max parallel: 3

[EXEC] Starting layer 0-setup (4 tasks)
  [LAYER 0-setup] Batch 1/1: L0-001, L0-002, L0-003, L0-004
    [L0-001] Creating worktree...
    [L0-001] Implementing...
    [L0-001] Verified (3/3 steps)
    ...
  [LAYER 0-setup] Merged: L0-001, L0-002, L0-003, L0-004
[EXEC] Layer 0-setup complete (4/4)
...

Context Isolation

This skill runs in context: fork:

•Fresh context for each execution
•No context bleed from previous runs
•Spawns child skills which also fork
•State file is the persistence mechanism

Critical Rules

•Never skip layers: Execute in order (0→1→2→3→4)
•Respect dependencies: Only execute tasks with satisfied deps
•Stop on abandon: If task hits 5 failures, STOP immediately
•Preserve worktrees: Never delete worktrees on failure
•Sequential merges: Merge one task at a time to avoid conflicts
•Update state: Write state after every significant event