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Task Master Tutorial
This tutorial will guide you through setting up and using Task Master for AI-driven development.
Initial Setup
There are two ways to set up Task Master: using MCP (recommended) or via npm installation.
Option 1: Using MCP (Recommended)
MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.
- Install the package
npm i -g task-master-ai
- Add the MCP config to your IDE/MCP Client (Cursor is recommended, but it works with other clients):
{
"mcpServers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package=task-master-ai", "task-master-ai"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
}
}
}
}
IMPORTANT: An API key is required for each AI provider you plan on using. Run the task-master models
command to see your selected models and the status of your API keys across .env and mcp.json
To use AI commands in CLI you MUST have API keys in the .env file To use AI commands in MCP you MUST have API keys in the .mcp.json file (or MCP config equivalent)
We recommend having keys in both places and adding mcp.json to your gitignore so your API keys aren't checked into git.
-
Enable the MCP in your editor settings
-
Prompt the AI to initialize Task Master:
Can you please initialize taskmaster-ai into my project?
The AI will:
- Create necessary project structure
- Set up initial configuration files
- Guide you through the rest of the process
-
Place your PRD document in the
.taskmaster/docs/
directory (e.g.,.taskmaster/docs/prd.txt
) -
Use natural language commands to interact with Task Master:
Can you parse my PRD at .taskmaster/docs/prd.txt?
What's the next task I should work on?
Can you help me implement task 3?
Option 2: Manual Installation
If you prefer to use the command line interface directly:
# Install globally
npm install -g task-master-ai
# OR install locally within your project
npm install task-master-ai
Initialize a new project:
# If installed globally
task-master init
# If installed locally
npx task-master init
This will prompt you for project details and set up a new project with the necessary files and structure.
Common Commands
After setting up Task Master, you can use these commands (either via AI prompts or CLI):
# Parse a PRD and generate tasks
task-master parse-prd your-prd.txt
# List all tasks
task-master list
# Show the next task to work on
task-master next
# Generate task files
task-master generate
Setting up Cursor AI Integration
Task Master is designed to work seamlessly with Cursor AI, providing a structured workflow for AI-driven development.
Using Cursor with MCP (Recommended)
If you've already set up Task Master with MCP in Cursor, the integration is automatic. You can simply use natural language to interact with Task Master:
What tasks are available to work on next?
Can you analyze the complexity of our tasks?
I'd like to implement task 4. What does it involve?
Manual Cursor Setup
If you're not using MCP, you can still set up Cursor integration:
- After initializing your project, open it in Cursor
- The
.cursor/rules/dev_workflow.mdc
file is automatically loaded by Cursor, providing the AI with knowledge about the task management system - Place your PRD document in the
.taskmaster/docs/
directory (e.g.,.taskmaster/docs/prd.txt
) - Open Cursor's AI chat and switch to Agent mode
Alternative MCP Setup in Cursor
You can also set up the MCP server in Cursor settings:
- Go to Cursor settings
- Navigate to the MCP section
- Click on "Add New MCP Server"
- Configure with the following details:
- Name: "Task Master"
- Type: "Command"
- Command: "npx -y --package=task-master-ai task-master-ai"
- Save the settings
Once configured, you can interact with Task Master's task management commands directly through Cursor's interface, providing a more integrated experience.
Initial Task Generation
In Cursor's AI chat, instruct the agent to generate tasks from your PRD:
Please use the task-master parse-prd command to generate tasks from my PRD. The PRD is located at .taskmaster/docs/prd.txt.
The agent will execute:
task-master parse-prd .taskmaster/docs/prd.txt
This will:
- Parse your PRD document
- Generate a structured
tasks.json
file with tasks, dependencies, priorities, and test strategies - The agent will understand this process due to the Cursor rules
Generate Individual Task Files
Next, ask the agent to generate individual task files:
Please generate individual task files from tasks.json
The agent will execute:
task-master generate
This creates individual task files in the tasks/
directory (e.g., task_001.txt
, task_002.txt
), making it easier to reference specific tasks.
AI-Driven Development Workflow
The Cursor agent is pre-configured (via the rules file) to follow this workflow:
1. Task Discovery and Selection
Ask the agent to list available tasks:
What tasks are available to work on next?
The agent will:
- Run
task-master list
to see all tasks - Run
task-master next
to determine the next task to work on - Analyze dependencies to determine which tasks are ready to be worked on
- Prioritize tasks based on priority level and ID order
- Suggest the next task(s) to implement
2. Task Implementation
When implementing a task, the agent will:
- Reference the task's details section for implementation specifics
- Consider dependencies on previous tasks
- Follow the project's coding standards
- Create appropriate tests based on the task's testStrategy
You can ask:
Let's implement task 3. What does it involve?
3. Task Verification
Before marking a task as complete, verify it according to:
- The task's specified testStrategy
- Any automated tests in the codebase
- Manual verification if required
4. Task Completion
When a task is completed, tell the agent:
Task 3 is now complete. Please update its status.
The agent will execute:
task-master set-status --id=3 --status=done
5. Handling Implementation Drift
If during implementation, you discover that:
- The current approach differs significantly from what was planned
- Future tasks need to be modified due to current implementation choices
- New dependencies or requirements have emerged
Tell the agent:
We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks (from ID 4) to reflect this change?
The agent will execute:
task-master update --from=4 --prompt="Now we are using MongoDB instead of PostgreSQL."
# OR, if research is needed to find best practices for MongoDB:
task-master update --from=4 --prompt="Update to use MongoDB, researching best practices" --research
This will rewrite or re-scope subsequent tasks in tasks.json while preserving completed work.
6. Reorganizing Tasks
If you need to reorganize your task structure:
I think subtask 5.2 would fit better as part of task 7 instead. Can you move it there?
The agent will execute:
task-master move --from=5.2 --to=7.3
You can reorganize tasks in various ways:
- Moving a standalone task to become a subtask:
--from=5 --to=7
- Moving a subtask to become a standalone task:
--from=5.2 --to=7
- Moving a subtask to a different parent:
--from=5.2 --to=7.3
- Reordering subtasks within the same parent:
--from=5.2 --to=5.4
- Moving a task to a new ID position:
--from=5 --to=25
(even if task 25 doesn't exist yet) - Moving multiple tasks at once:
--from=10,11,12 --to=16,17,18
(must have same number of IDs, Taskmaster will look through each position)
When moving tasks to new IDs:
- The system automatically creates placeholder tasks for non-existent destination IDs
- This prevents accidental data loss during reorganization
- Any tasks that depend on moved tasks will have their dependencies updated
- When moving a parent task, all its subtasks are automatically moved with it and renumbered
This is particularly useful as your project understanding evolves and you need to refine your task structure.
7. Resolving Merge Conflicts with Tasks
When working with a team, you might encounter merge conflicts in your tasks.json file if multiple team members create tasks on different branches. The move command makes resolving these conflicts straightforward:
I just merged the main branch and there's a conflict with tasks.json. My teammates created tasks 10-15 while I created tasks 10-12 on my branch. Can you help me resolve this?
The agent will help you:
- Keep your teammates' tasks (10-15)
- Move your tasks to new positions to avoid conflicts:
# Move your tasks to new positions (e.g., 16-18)
task-master move --from=10 --to=16
task-master move --from=11 --to=17
task-master move --from=12 --to=18
This approach preserves everyone's work while maintaining a clean task structure, making it much easier to handle task conflicts than trying to manually merge JSON files.
8. Breaking Down Complex Tasks
For complex tasks that need more granularity:
Task 5 seems complex. Can you break it down into subtasks?
The agent will execute:
task-master expand --id=5 --num=3
You can provide additional context:
Please break down task 5 with a focus on security considerations.
The agent will execute:
task-master expand --id=5 --prompt="Focus on security aspects"
You can also expand all pending tasks:
Please break down all pending tasks into subtasks.
The agent will execute:
task-master expand --all
For research-backed subtask generation using the configured research model:
Please break down task 5 using research-backed generation.
The agent will execute:
task-master expand --id=5 --research
Example Cursor AI Interactions
Starting a new project
I've just initialized a new project with Claude Task Master. I have a PRD at .taskmaster/docs/prd.txt.
Can you help me parse it and set up the initial tasks?
Working on tasks
What's the next task I should work on? Please consider dependencies and priorities.
Implementing a specific task
I'd like to implement task 4. Can you help me understand what needs to be done and how to approach it?
Managing subtasks
I need to regenerate the subtasks for task 3 with a different approach. Can you help me clear and regenerate them?
Handling changes
We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
Completing work
I've finished implementing the authentication system described in task 2. All tests are passing.
Please mark it as complete and tell me what I should work on next.
Analyzing complexity
Can you analyze the complexity of our tasks to help me understand which ones need to be broken down further?
Viewing complexity report
Can you show me the complexity report in a more readable format?