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manus

Delegate long-running research and task execution to the Manus AI API.

9|2|Updated Mar 12, 2026
Search Tags:#automation#research#data-analysis#multi-tasking#autonomous-agent#web-browsing#manus
One-click install
npx skills add https://github.com/hongmaple0820/agent-academy --skill manus-hongmaple0820
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: manus
Source: https://github.com/hongmaple0820/agent-academy/tree/main/skills/tool-development/manus
Command: npx skills add https://github.com/hongmaple0820/agent-academy --skill manus-hongmaple0820

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manus provides an autonomous agent capable of handling complex, long-running tasks with parallel processing, web browsing, and reporting, reducing manual effort and speeding up outcomes.

Core Features & Use Cases

  • Autonomous task orchestration for deep research, market analysis, and multi-source reporting.
  • Parallel processing and data synthesis to produce comprehensive outputs (reports, charts, and summaries).
  • Ideal for product research, competitive analysis, data-driven decision support, and long-running workflows requiring minimal supervision.

Quick Start

Ask Manus to start a long-running task by describing the goal and constraints.

Frequently Asked Questions about manus

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

FAQPage Schema
How do I automate long-running research and multi-source reporting tasks?▼

Automate long-running research by delegating complex goals to an autonomous agent that handles parallel processing, web browsing, and data synthesis to generate comprehensive reports with minimal supervision.

What is the best way to conduct deep market analysis and product comparisons autonomously?▼

Deep market analysis is best handled by an autonomous agent that performs parallel web browsing and data synthesis, producing comprehensive outputs like charts and summaries for data-driven decision support.

How does an autonomous agent handle task orchestration for multi-source reporting?▼

An autonomous agent handles task orchestration by executing parallel processing across multiple web sources, synthesizing the retrieved data to produce comprehensive summaries and multi-source reports automatically.

Can I use autonomous task execution for competitive analysis requiring minimal supervision?▼

Autonomous task execution is ideal for competitive analysis, as it runs long-running workflows with minimal supervision, automatically browsing the web and synthesizing data into comprehensive outputs.

How do I start a long-running task using an autonomous agent?▼

Start a long-running task by describing your goal and constraints to the autonomous agent, which then handles the environment setup, task creation, polling, and output retrieval automatically.

What are the limitations of using autonomous agents for data-driven decision support?▼

Autonomous agents for data-driven decision support require clear goal descriptions and constraints to function properly, and their long-running workflows depend on successful environment setup and API polling.

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