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Manus

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sanjay3290
manus

Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.

Overview

Publishersanjay3290
Repositoryai-skills
Skill namemanus
Stars
442
Forks
50
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sanjay3290 on GitHub. Read the source before you install it.

Installation

Install the Manus AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sanjay3290/ai-skills/tree/main/skills/manus
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sanjay3290/ai-skills.git /tmp/ai-skills
mkdir -p .claude/skills
cp -r /tmp/ai-skills/skills/manus .claude/skills/manus
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manus in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Manus on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Manus is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Manus

Manus is an autonomous AI agent that handles complex tasks asynchronously. Particularly strong at deep research with parallel processing, web browsing, and generating comprehensive reports with data visualizations.

When to Use Manus

  • Deep research - Market analysis, competitive landscaping, product comparisons
  • Stock/financial analysis - Company research, technical analysis, price charts
  • Product research - Feature comparisons across brands, specs analysis
  • Report generation - Creates markdown reports, CSVs, charts, and visualizations
  • Multi-source synthesis - Gathers and combines information from multiple websites
  • Long-running tasks - Anything taking 1-10+ minutes of autonomous work

Research Prompt Examples

Effective research prompts are specific about scope, sources, and desired output:

Product comparison:

Find the best 4K monitors for Mac with Thunderbolt connectivity and 120Hz+ refresh rate.
Focus on BenQ, Samsung, Dell, LG. Only include models released in the last year.
Compare specs, prices, and Mac-specific features. Output a comparison table.

Stock/company analysis:

Analyze [TICKER] stock: company profile, recent performance, technical indicators,
valuation metrics, and insider activity. Include a price chart for the past year.

Market research:

Research the [industry] market: key players, market size, growth trends,
recent developments, and competitive landscape. Focus on [region/segment].

Competitive analysis:

Compare [Product A] vs [Product B] vs [Product C]: features, pricing,
user reviews, pros/cons. Create a decision matrix for [use case].

Environment Setup

Requires MANUS_API_KEY environment variable. Base URL: https://api.manus.ai

Core Workflow

  1. Create task → Returns task_id immediately
  2. Poll status → Check until status is completed or failed
  3. Return results → Extract output text and file attachments

Creating a Task

bash
curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"<task description>","agentProfile":"manus-1.6"}'

Agent Profiles:

  • manus-1.6-lite - Fast, simple tasks (quick lookups, simple questions)
  • manus-1.6 - Standard (default, good for most research)
  • manus-1.6-max - Complex reasoning (deep research, multi-source analysis, detailed reports)

Response:

json
{"task_id":"abc123","task_title":"...","task_url":"https://manus.im/app/abc123"}

Checking Task Status

bash
curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY"

Status values: pending, running, completed, failed

Poll every 5-10 seconds until completed.

Extract text output:

bash
curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq -r '.output[] | select(.role=="assistant") | .content[] | select(.type=="output_text") | .text'

Extract file attachments:

bash
curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq -r '.output[] | select(.role=="assistant") | .content[] | select(.type=="output_file") | "\(.fileName): \(.fileUrl)"'

Listing Tasks

bash
curl -s -X GET "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" | jq '.data[] | {id, status, title: .metadata.task_title}'

Multi-turn Conversations

Continue an existing task by including taskId:

bash
curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"follow-up question","taskId":"abc123","agentProfile":"manus-1.6"}'

Delete a Task

bash
curl -s -X DELETE "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY"

Advanced Options

ParameterDescription
taskModechat, adaptive, or agent
projectIdAssociate with project for shared instructions
attachmentsArray of file objects (see below)
connectorsPre-configured connector IDs (Gmail, Calendar, Notion)
createShareableLinkEnable public access URL

File Attachments

Attach files using one of three formats:

URL attachment:

json
{"prompt":"Analyze this","attachments":[{"type":"url","url":"https://example.com/doc.pdf"}]}

Base64 attachment:

json
{"prompt":"What's in this image?","attachments":[{"type":"base64","data":"<base64>","mime_type":"image/png"}]}

File ID (after upload):

json
{"prompt":"Review this file","attachments":[{"type":"file","file_id":"file-xxx"}]}

Projects

Create a project with shared instructions:

bash
curl -s -X POST "https://api.manus.ai/v1/projects" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"name":"My Project","instruction":"Always respond concisely"}'

Use project in task:

bash
curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"...","projectId":"proj_xxx","agentProfile":"manus-1.6"}'

Best Practices

  • Use manus-1.6-lite for simple queries (faster, cheaper)
  • Use manus-1.6 or manus-1.6-max for research tasks
  • Always report task_url so user can view progress in browser
  • Poll status with reasonable intervals (5-10s for simple, 15-30s for research)
  • Check credit_usage field to track consumption
  • For research: be specific about scope, timeframe, sources, and desired output format
  • Research tasks typically produce multiple output files (reports, CSVs, charts) - extract all attachments
  • Manus uses parallel processing for multi-faceted research - one prompt can cover multiple angles

Error Handling

Check for failed tasks:

bash
curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq '{status, error}'

If status is failed, the error field contains the reason. Common issues:

  • Invalid API key → Check MANUS_API_KEY is set
  • Task timeout → Simplify prompt or use manus-1.6-max
  • Rate limited → Wait and retry

API Reference

For complete endpoint documentation, see references/api.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Manus AI skill do?

Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.

Why use Manus on TypingMind?

Because you install it once and use it with any model. Manus is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Manus in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanjay3290/ai-skills/tree/main/skills/manus. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Manus?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Manus?

As many as you like. As long as a model supports skills, you can use Manus with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Manus AI skill free?

Yes. It is published on GitHub by sanjay3290 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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