--- title: "Task Structure" sidebarTitle: "Task Structure" description: "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: # 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 # 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>