Teamo Lite Offline is a performance-optimized AI agent designed for rapid information gathering, intelligent research, and streamlined task planning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install teamo-lite-offline
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-offline 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 Offline?
Teamo Lite Offline is a specialized Openclaw Skills agent engineered for high-velocity execution of task planning and online information retrieval. It functions as a dual-mode assistant that intelligently routes requests into two distinct workflows: a direct Quick Q&A mode for immediate data extraction and a comprehensive Researcher mode for complex creative and technical assignments. By focusing on efficiency, this skill ensures that users get the precise level of depth required for their specific queries without unnecessary overhead.
Built to integrate seamlessly within multi-agent ecosystems, this skill excels at bridging the gap between raw web data and structured content. Whether it is performing deep-dive research for a professional report or debugging complex code snippets, Teamo Lite Offline leverages advanced scraping and search capabilities to provide high-quality inputs for downstream processing. It is an essential component for developers and researchers utilizing Openclaw Skills to automate data-heavy workflows.
Teamo Lite Offline Use Cases
- Extracting specific summaries or data points from PDF documents and long-form text.
- Conducting in-depth web research for media coverage, professional reports, and market analysis.
- Solving complex coding problems by gathering documentation and technical insights before multi-agent processing.
- Automating real-time information retrieval such as current dates, weather, and localized data using integrated search tools.
- Streamlining content creation pipelines by scraping and organizing professional-grade source material.
How Teamo Lite Offline Works
- The agent analyzes the user's intent to determine if the request is a direct information retrieval task or a complex creative project.
- In Workflow 1 (Quick Q&A), the agent calls immediate tools to solve the problem and provides a direct response without initiating multi-agent handovers.
- In Workflow 2 (Researcher), the agent triggers a multi-step search process to gather relevant online information.
- For professional-grade tasks, the agent utilizes url_scraping to ingest deep-context data from high-value sources.
- Upon completing the research phase, the agent packages the gathered information and uses the call_other_agents tool to hand over the task to specialized production agents.
Teamo Lite Offline Setup
To integrate this skill into your local environment, ensure your agent configuration includes the necessary tool permissions for web searching and scraping. This Openclaw Skills component can be initialized via the CLI.
# Install the Teamo Lite Offline skill
openclaw install teamo-lite-offline
# Configure environment variables for search tools
export SEARCH_API_KEY='your_key_here'
# Validate the installation and tool access
openclaw verify teamo-lite-offline
Teamo Lite Offline Data Schema & Taxonomy
Teamo Lite Offline manages data through a structured taxonomy that prioritizes workflow efficiency and tool output accuracy.
| Component | Logic | Metadata |
|---|---|---|
| Workflow Selector | Binary classification based on task complexity | Task Type (Q&A vs Research) |
| Tool Pipeline | Sequential execution of search and scraping tools | Tool Execution Logs |
| Session Variables | Dynamic substitution of runtime data | $DATE$, $SESSION_GROUP_ID$ |
| Agent Handover | Structured JSON payloads for multi-agent coordination | Contextual Research Data |
Teamo Lite Offline Advanced Features
- Intelligent workflow bifurcation to minimize latency for non-creative tasks.
- Mandatory deep-scraping logic for high-complexity professional reports and media analysis.
- Seamless multi-agent orchestration through the call_other_agents protocol for complex code and writing tasks.
- Robust error handling with proactive tool-chaining to resolve missing real-time information.
- Dynamic template variable support for session-specific context injection within Openclaw Skills.
SKILL.md
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