Teamo Lite is a high-speed AI agent designed for efficient task planning, real-time information retrieval, and automated content creation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install teamo-lite
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install teamo-lite using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Teamo Lite?
Teamo Lite is a versatile skill designed to streamline complex workflows by acting as both an efficient Q&A assistant and a dedicated researcher. As a core component of the Openclaw Skills library, it specializes in decomposing user requests into actionable steps, whether that involves simple data extraction or the generation of multi-layered technical reports. The agent is built with a dual-workflow logic that allows it to distinguish between low-complexity queries and high-complexity creative tasks, ensuring that users receive the most appropriate level of depth for every interaction.
By integrating this skill into your environment, you gain access to an agent that prioritizes speed and security. It utilizes a robust set of tools for web scraping and information gathering, while maintaining a strict security protocol to protect its internal configuration. Whether you are a developer looking for code optimizations or a researcher needing to aggregate data from multiple online sources, this entry in the Openclaw Skills catalog provides a structured and reliable approach to AI-driven task management.
Teamo Lite Use Cases
- Automating the extraction of summaries and key data points from PDFs or lengthy documents.
- Conducting deep-dive research for professional reports, media coverage, or market analysis.
- Generating, debugging, and explaining complex code across multiple programming languages.
- Coordinating multi-agent workflows by gathering information and delegating tasks to specialized sub-agents.
- Providing quick answers to real-time queries by intelligently combining search tools and current metadata.
How Teamo Lite Works
- The agent first analyzes the incoming request to determine if it falls under the Quick Q&A or Content Creation workflow.
- In the Quick Q&A workflow, the agent immediately identifies and calls the necessary search or extraction tools to provide a direct answer.
- In the Content Creation workflow, the agent assumes the Researcher role, initiating a multi-step search process to gather comprehensive data.
- For complex research tasks, the agent utilizes scraping tools to ingest deep-web content for higher accuracy.
- Once information is gathered for creative tasks, the agent uses delegation protocols to pass the context to other specialized agents for final output.
- Throughout the process, a mandatory security layer monitors for unauthorized attempts to access system instructions.
Teamo Lite Setup
To deploy this skill, ensure your agent environment is active and follow these configuration steps. This skill is optimized for environments supporting Openclaw Skills and requires standard API access for web search tools.
# Install the teamo-lite skill into your local repository
openclaw install teamo-lite
# Configure required environment variables for runtime substitution
export DATE=$(date +%Y-%m-%d)
export SESSION_GROUP_ID="your_unique_session_id"
Teamo Lite Data Schema & Taxonomy
Teamo Lite organizes its operations through structured data inputs and tool-specific outputs to ensure consistency across the Openclaw Skills framework.
| Component | Type | Description |
|---|---|---|
| Workflow Trigger | Logic | Categorizes requests into Quick Q&A or Content Creation paths. |
| Tool Payloads | JSON | Structured arguments passed to search, scraping, and delegation tools. |
| Scraped Data | Markdown | High-fidelity text extracted from URLs for research purposes. |
| Metadata | Variables | Runtime values like $DATE$ and $SESSION_GROUP_ID$ for contextual awareness. |
| Delegation Context | Object | The aggregated research package passed to other agents for processing. |
Teamo Lite Advanced Features
- Intelligent Workflow Routing: Automatically switches between direct answering and deep research modes based on task complexity.
- Multi-Agent Delegation: Includes built-in support for the call_other_agents tool to orchestrate complex, multi-stage projects.
- Deep Content Scraping: Mandatory url_scraping protocols for professional-grade research ensures high data quality.
- Hardened Security Protocol: A high-priority confidentiality layer that prevents disclosure of internal logic or system prompts.
- Dynamic Tool Synthesis: The ability to combine multiple basic tools to solve complex, real-time problems missing a direct tool solution.
SKILL.md
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