name: implementation-manager description: 'Query and manage feature implementation task status. Provides CLI tools to list features, check task status, find ready tasks, and validate task files. Used by /implement-feature orchestrator to track progress. Automatically updates task timestamps via hooks on /start-task.' user-invocable: false disable-model-invocation: false

Implementation Manager

A skill for querying and managing feature implementation task files. Provides programmatic access to task status for orchestrators coordinating multi-step feature implementations.

CLI Tool Usage

The CLI tool is located at scripts/implementation_manager.py and provides JSON output for orchestrator consumption.

Commands

list-features

List all features with task files in the project's plan/ directory:

./scripts/implementation_manager.py list-features /path/to/project

Output:

{
  "features": [
    {
      "slug": "prepare-host",
      "task_file": "tasks-1-prepare-host.md",
      "path": "/path/to/project/plan/tasks-1-prepare-host.md"
    }
  ],
  "count": 1
}

status

Get detailed status for a specific feature:

./scripts/implementation_manager.py status /path/to/project prepare-host

Output:

{
  "feature": "prepare-host",
  "task_file": "tasks-1-prepare-host.md",
  "total_tasks": 8,
  "completed": 8,
  "in_progress": 0,
  "not_started": 0,
  "ready_tasks": [],
  "tasks": [
    {
      "id": "1.1",
      "name": "Add Data Models to shared/models.py",
      "status": "COMPLETE",
      "dependencies": [],
      "agent": null,
      "priority": 1,
      "complexity": "Low"
    }
  ]
}

ready-tasks

List tasks ready for execution (dependencies satisfied):

./scripts/implementation_manager.py ready-tasks /path/to/project prepare-host

Output:

{
  "feature": "prepare-host",
  "ready_tasks": [
    {
      "id": "1.3",
      "name": "Create core/prepare.py Business Logic",
      "agent": "python-cli-architect"
    }
  ],
  "count": 1
}

validate

Validate task file frontmatter and structure:

./scripts/implementation_manager.py validate /path/to/project prepare-host

Output:

{
  "valid": true,
  "errors": [],
  "warnings": ["Task 1.3 missing Agent field"]
}

Task File Format

The CLI parses task files with this format:

## Task {ID}: {Name}

**Status**: NOT STARTED | IN PROGRESS | COMPLETE
**Dependencies**: Task 1, Task 2 | None
**Priority**: 1-5
**Complexity**: Low | Medium | High
**Agent**: agent-name
**Started**: {ISO timestamp} (optional, added by agent)
**Completed**: {ISO timestamp} (optional, added by hook)
**LastActivity**: {ISO timestamp} (optional, updated by hook)

**Acceptance Criteria**:
1. ...

Status Values

• NOT STARTED (also matches emojis: :x:, :cross_mark:)
• IN PROGRESS (also matches emojis: :arrows_counterclockwise:)
• COMPLETE (also matches emojis: :white_check_mark:, :heavy_check_mark:)

Dependency Resolution

A task is "ready" when:

1. Status is NOT STARTED
2. All dependencies are COMPLETE (or no dependencies)

Hook Integration

The task_status_hook.py script provides automated task status tracking via Claude Code hooks.

Hook Configuration

How It Works

SubagentStop (Task Completion):

When /implement-feature launches a sub-agent via /start-task {task_file} --task {id}, the SubagentStop hook fires when the sub-agent completes. The hook script:

1. Parses the original prompt to extract task file path and task ID
2. Updates task status from 🔄 IN PROGRESS to ✅ COMPLETE
3. Adds **Completed**: {ISO timestamp} to the task section

PostToolUse (Activity Tracking):

When /start-task runs, it creates a context file at .claude/context/active-task-{session_id}.json containing the task file path and task ID. On each Write, Edit, or Bash operation, the PostToolUse hook:

1. Reads the context file to identify the active task
2. Updates **LastActivity**: {ISO timestamp} in the task section

Timestamp Field Responsibilities

Integration with /implement-feature

The /implement-feature orchestrator uses this skill to:

1. Query task file status via implementation_manager.py status
2. Find ready tasks via implementation_manager.py ready-tasks
3. Launch appropriate agents based on task's Agent field
4. Update timestamps via hook scripts when tasks start/complete