> ## Documentation Index
> Fetch the complete documentation index at: https://taskmaster-49ce32d5-claude-issue-1550-20260102-1153.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Task Structure

> Tasks in Task Master follow a specific format designed to provide comprehensive information for both humans and AI assistants.

## Task Fields in tasks.json

Tasks in tasks.json have the following structure:

| Field          | Description                                    | Example                                                |
| -------------- | ---------------------------------------------- | ------------------------------------------------------ |
| `id`           | Unique identifier for the task.                | `1`                                                    |
| `title`        | Brief, descriptive title.                      | `"Initialize Repo"`                                    |
| `description`  | What the task involves.                        | `"Create a new repository, set up initial structure."` |
| `status`       | Current state.                                 | `"pending"`, `"done"`, `"deferred"`                    |
| `dependencies` | Prerequisite task IDs. ✅ Completed, ⏱️ Pending | `[1, 2]`                                               |
| `priority`     | Task importance.                               | `"high"`, `"medium"`, `"low"`                          |
| `details`      | Implementation instructions.                   | `"Use GitHub client ID/secret, handle callback..."`    |
| `testStrategy` | How to verify success.                         | `"Deploy and confirm 'Hello World' response."`         |
| `subtasks`     | Nested subtasks related to the main task.      | `[{"id": 1, "title": "Configure OAuth", ...}]`         |

## Task File Format

Individual task files follow this format:

```
# Task ID: <id>
# Title: <title>
# Status: <status>
# Dependencies: <comma-separated list of dependency IDs>
# Priority: <priority>
# Description: <brief description>
# Details:
<detailed implementation notes>

# Test Strategy:
<verification approach>
```

## Features in Detail

<AccordionGroup>
  <Accordion title="Analyzing Task Complexity">
    The `analyze-complexity` command:

    * Analyzes each task using AI to assess its complexity on a scale of 1-10
    * Recommends optimal number of subtasks based on configured DEFAULT\_SUBTASKS
    * Generates tailored prompts for expanding each task
    * Creates a comprehensive JSON report with ready-to-use commands
    * Saves the report to scripts/task-complexity-report.json by default

    The generated report contains:

    * Complexity analysis for each task (scored 1-10)
    * Recommended number of subtasks based on complexity
    * AI-generated expansion prompts customized for each task
    * Ready-to-run expansion commands directly within each task analysis
  </Accordion>

  <Accordion title="Viewing Complexity Report">
    The `complexity-report` command:

    * Displays a formatted, easy-to-read version of the complexity analysis report
    * Shows tasks organized by complexity score (highest to lowest)
    * Provides complexity distribution statistics (low, medium, high)
    * Highlights tasks recommended for expansion based on threshold score
    * Includes ready-to-use expansion commands for each complex task
    * If no report exists, offers to generate one on the spot
  </Accordion>

  <Accordion title="Smart Task Expansion">
    The `expand` command automatically checks for and uses the complexity report:

    When a complexity report exists:

    * Tasks are automatically expanded using the recommended subtask count and prompts
    * When expanding all tasks, they're processed in order of complexity (highest first)
    * Research-backed generation is preserved from the complexity analysis
    * You can still override recommendations with explicit command-line options

    Example workflow:

    ```bash theme={null}
    # Generate the complexity analysis report with research capabilities
    task-master analyze-complexity --research

    # Review the report in a readable format
    task-master complexity-report

    # Expand tasks using the optimized recommendations
    task-master expand --id=8
    # or expand all tasks
    task-master expand --all
    ```
  </Accordion>

  <Accordion title="Finding the Next Task">
    The `next` command:

    * Identifies tasks that are pending/in-progress and have all dependencies satisfied
    * Prioritizes tasks by priority level, dependency count, and task ID
    * Displays comprehensive information about the selected task:
      * Basic task details (ID, title, priority, dependencies)
      * Implementation details
      * Subtasks (if they exist)
    * Provides contextual suggested actions:
      * Command to mark the task as in-progress
      * Command to mark the task as done
      * Commands for working with subtasks
  </Accordion>

  <Accordion title="Viewing Specific Task Details">
    The `show` command:

    * Displays comprehensive details about a specific task or subtask
    * Shows task status, priority, dependencies, and detailed implementation notes
    * For parent tasks, displays all subtasks and their status
    * For subtasks, shows parent task relationship
    * Provides contextual action suggestions based on the task's state
    * Works with both regular tasks and subtasks (using the format taskId.subtaskId)
  </Accordion>
</AccordionGroup>

## Best Practices for AI-Driven Development

<CardGroup cols={2}>
  <Card title="📝 Detailed PRD" icon="lightbulb">
    The more detailed your PRD, the better the generated tasks will be.
  </Card>

  <Card title="👀 Review Tasks" icon="magnifying-glass">
    After parsing the PRD, review the tasks to ensure they make sense and have appropriate dependencies.
  </Card>

  <Card title="📊 Analyze Complexity" icon="chart-line">
    Use the complexity analysis feature to identify which tasks should be broken down further.
  </Card>

  <Card title="⛓️ Follow Dependencies" icon="link">
    Always respect task dependencies - the Cursor agent will help with this.
  </Card>

  <Card title="🔄 Update As You Go" icon="arrows-rotate">
    If your implementation diverges from the plan, use the update command to keep future tasks aligned.
  </Card>

  <Card title="📦 Break Down Tasks" icon="boxes-stacked">
    Use the expand command to break down complex tasks into manageable subtasks.
  </Card>

  <Card title="🔄 Regenerate Files" icon="file-arrow-up">
    After any updates to tasks.json, regenerate the task files to keep them in sync.
  </Card>

  <Card title="💬 Provide Context" icon="comment">
    When asking the Cursor agent to help with a task, provide context about what you're trying to achieve.
  </Card>

  <Card title="✅ Validate Dependencies" icon="circle-check">
    Periodically run the validate-dependencies command to check for invalid or circular dependencies.
  </Card>
</CardGroup>