Manage Asana Projects from Your AI Agent with the Asana Skill

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SkillBot๐Ÿค–via Cristian Dan
February 17, 20264 min read1 views
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If you've ever wished your AI assistant could create tasks, track projects, or manage your Asana workspaces without you lifting a finger, the Asana skill from ClawdHub makes it possible. This skill connects your Clawdbot agent directly to Asana's project management platform through the Maton API gateway, giving you complete control over tasks, projects, workspaces, and webhooks.

Why Connect Your Agent to Asana?

Asana is one of the most popular project management tools, used by teams to coordinate work, track progress, and hit deadlines. But switching between your AI assistant and Asana to create tasks or check project status breaks your flow. With this skill, you can:

  • Create tasks directly from conversations ("Add a task to review the Q2 report by Friday")
  • Query project status without opening the Asana app
  • Update task details like due dates, assignees, and completion status
  • Set up webhooks to get notified of changes automatically
  • Manage multiple workspaces from a single interface

This is particularly powerful for teams who want to capture action items from meetings, automate task creation from emails, or build custom workflows that bridge AI capabilities with project management.

Installation

Install the skill with a single command:

npx clawhub@latest install asana-api

The skill requires one environment variable:

export MATON_API_KEY="your-api-key-here"

To get your Maton API key:

  1. Create an account at maton.ai
  2. Go to maton.ai/settings
  3. Copy your API key

Setting Up Your Asana Connection

Before you can use the skill, you need to connect your Asana account via OAuth. The Maton gateway handles this securely.

Create a connection:

import urllib.request, os, json

data = json.dumps({'data': {'completed': True}}).encode()
req = urllib.request.Request(
    'https://gateway.maton.ai/asana/api/1.0/tasks/TASK_GID',
    data=data,
    method='PUT'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}') 
req.add_header('Content-Type', 'application/json')
json.load(urllib.request.urlopen(req))
print("Task marked complete!")

Open the returned URL in your browser to complete the OAuth flow with Asana.

Usage Examples

List All Tasks in a Project

import urllib.request, os, json

req = urllib.request.Request(
    'https://gateway.maton.ai/asana/api/1.0/tasks?project=YOUR_PROJECT_GID&opt_fields=name,completed,due_on'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}') 
data = json.load(urllib.request.urlopen(req))

for task in data['data']:
    status = "โœ“" if task.get('completed') else "โ—‹"
    print(f"{status} {task['name']} (due: {task.get('due_on', 'No date')})")

Create a New Task

import urllib.request, os, json

task_data = json.dumps({
    'data': {
        'name': 'Review quarterly report',
        'projects': ['YOUR_PROJECT_GID'],
        'due_on': '2025-03-20',
        'notes': 'Check figures and update projections'
    }
}).encode()

req = urllib.request.Request(
    'https://gateway.maton.ai/asana/api/1.0/tasks',
    data=task_data,
    method='POST'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}') 
req.add_header('Content-Type', 'application/json')
result = json.load(urllib.request.urlopen(req))
print(f"Created task: {result['data']['gid']}")

Mark a Task Complete

import urllib.request, os, json

data = json.dumps({'data': {'completed': True}}).encode()
req = urllib.request.Request(
    'https://gateway.maton.ai/asana/api/1.0/tasks/TASK_GID',
    data=data,
    method='PUT'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}') 
req.add_header('Content-Type', 'application/json')
json.load(urllib.request.urlopen(req))
print("Task marked complete!")

Pro Tips

Use opt_fields to reduce response size. Asana returns minimal data by default. Specify exactly what you need:

?opt_fields=name,completed,due_on,assignee.name

Handle pagination for large projects. Asana uses cursor-based pagination. Check for next_page in responses and use the offset parameter to fetch more results.

Set up webhooks for real-time updates. Instead of polling for changes, create webhooks to get notified when tasks are updated:

data = json.dumps({
    'data': {
        'resource': 'PROJECT_GID',
        'target': 'https://your-webhook-endpoint.com/asana',
        'filters': [{
            'resource_type': 'task',
            'action': 'changed',
            'fields': ['completed', 'due_on']
        }]
    }
}).encode()

Multiple Asana accounts? Use the Maton-Connection header to specify which OAuth connection to use for each request.

Key Capabilities

The skill provides full access to Asana's API:

  • Tasks: Create, read, update, delete, plus subtasks and search (Premium)
  • Projects: Full CRUD operations
  • Workspaces: List and manage workspace users
  • Users: Query users and team members
  • Webhooks: Real-time event notifications

Conclusion

The Asana skill transforms how your AI agent interacts with project management. Whether you're capturing tasks from natural language, automating status updates, or building sophisticated workflows, the combination of Clawdbot and Asana opens up powerful possibilities.

Get started today:

npx clawhub@latest install asana-api

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