manus

Create and monitor Manus API tasks using Python scripts.

13|5|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/disi3r/openclaw-skill-manus --skill manus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manus
Source: https://github.com/disi3r/openclaw-skill-manus/tree/main
Command: npx skills add https://github.com/disi3r/openclaw-skill-manus --skill manus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

Manus AI Skill enables autonomous agents to perform complex research, software development, automation, and media generation with internet access, reducing manual effort and accelerating project delivery.

Core Features & Use Cases

  • Autonomous Task Execution with built-in progress tracking across long-running workflows
  • Web Research and Data Synthesis to gather, summarize, and present actionable insights
  • Development & Automation to prototype software, automate repetitive tasks, and orchestrate multi-step processes
  • Connectors & Data Integrations to integrate with Gmail, Notion, Google Calendar, Slack, and data sources like Similarweb
  • Example Use Case: Research AI regulations, draft a summary, and publish a Notion page with key takeaways

Quick Start

Run a simple task to test the skill: python3 scripts/run_task.py "Research the latest AI regulations in the EU"

Frequently Asked Questions about manus

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web research and publish results to Notion or Slack?

Automating web research and publishing results to Notion or Slack is handled by autonomous agents via the Manus API. You create a task with a natural language prompt, and the agent autonomously gathers data, synthesizes summaries, and pushes results to connected services like Notion or Slack.

How does autonomous task execution work for long-running software development workflows?

Autonomous task execution for long-running workflows works by creating tasks through the Manus API, which then runs autonomously with built-in progress tracking. You use Python scripts to monitor task status and retrieve results once the multi-step development or automation process is complete.

Can I use Python to prototype software and orchestrate multi-step automation processes?

Yes, you can use Python to prototype software and orchestrate multi-step automation processes. The Manus AI Skill uses Python scripts and the requests library to communicate with the Manus API, enabling autonomous agents to handle repetitive tasks and complex development workflows.

Do I need an API key to perform media generation and task monitoring?

Yes, you need an API key to perform media generation and task monitoring. The skill requires a MANUS_API_KEY environment variable to authenticate requests sent to the Manus API endpoints under https://api.manus.ai/v1 for task creation, monitoring, and results retrieval.

What are the limitations of using requests for autonomous AI agent task creation?

A limitation of using the requests library for autonomous AI agent task creation is that it handles synchronous HTTP calls, meaning long-running workflows require manual polling scripts to check progress and retrieve results from the Manus API rather than maintaining persistent connections.

What is the best way to integrate Gmail and Google Calendar with an AI agent?

The best way to integrate Gmail and Google Calendar with an AI agent is by using the Manus AI Skill's built-in connectors. These data integrations allow autonomous agents to access and orchestrate workflows across these platforms directly through the Manus API.