manus

What This Skill Does

The manus skill integrates the Manus AI agent ecosystem directly into your OpenClaw workflow. It allows you to trigger sophisticated, autonomous AI agents capable of performing deep web research, executing complex multi-step tool use, and generating high-quality work products such as professional reports, presentation decks, and technical documentation. Unlike standard chatbot interfaces, the manus skill acts as an autonomous operator that manages the entire lifecycle of a request, from initial planning and data gathering to the final rendering of output files.

Installation

To integrate this skill into your OpenClaw environment, use the OpenClaw command-line interface. Run the following command in your terminal:

clawhub install openclaw/skills/skills/tallman2014/manus-monitor

After installation, ensure your authentication is configured. You must set the MANUS_API_KEY in your environment variables or define it within your clawdbot configuration under skills.manus.apiKey.

Use Cases

• Deep Research: Request comprehensive market analysis, competitor intelligence, or academic research summaries.
• Content Creation: Generate complex presentations, white papers, and technical reports that require external source validation.
• Autonomous Workflow: Offload time-consuming research and compilation tasks, allowing the agent to browse the web and synthesize information independently.
• Data Packaging: Extract and organize information into downloadable document formats (PDFs, PPTs) for immediate distribution.

Example Prompts

1. "Manus, research the current landscape of edge computing in 2024 and generate a 10-slide presentation summarizing the key growth drivers."
2. "Create a detailed comparison report between React and Vue, specifically focusing on enterprise scalability, and save it as a PDF."
3. "Find the top five emerging trends in renewable energy storage for this year and compile a brief report with links to the source studies."

Tips & Limitations

• Resource Expectations: Manus tasks are powerful but not instantaneous. Expect processing times to range from 2 to 10 minutes depending on the complexity of the research.
• File Handling: Always prioritize downloading file outputs locally. The skill includes logic to extract output_file types from the API response; utilize this to provide clean attachments to the end-user rather than relying on external web links.
• Agent Profiles: Use manus-1.6-max for deep analytical work, but keep manus-1.6 as your default to optimize for standard performance and speed.
• Security: As an agent with web access, ensure that your tasks have clear, bounded scopes to prevent unnecessary resource expenditure.