ZeeLin Deep Research is a professional AI-driven research platform that generates systematic analysis and expert reports through multi-source data integration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install desearch
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 desearch 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 ZeeLin Deep Research?
ZeeLin Deep Research is a sophisticated research assistant designed to transform simple queries into comprehensive, multi-step professional reports. By leveraging multi-round reasoning and integrating data from diverse sources, it covers everything from quick information gathering to generating expert-level reports exceeding 10,000 words. This tool is a vital addition to the Openclaw Skills ecosystem, enabling developers and analysts to automate high-quality decision-making processes.
The platform provides two distinct reasoning paths: depth mode for conceptual synthesis and trend analysis, and expert mode for rigorous industry landscapes, corporate financial evaluations, and technical comparisons. It effectively bridges the gap between raw data and actionable intelligence, significantly boosting research efficiency in enterprise and investment contexts.
ZeeLin Deep Research Use Cases
- Industry and market landscape analysis to understand competitive dynamics.
- Corporate research involving financial analysis and strategic assessments.
- Systematic policy and regulatory studies to evaluate compliance requirements.
- Technical and product benchmarking across multiple dimensions.
- Rapid conceptual deep dives and trend tracking for hot topics.
How ZeeLin Deep Research Works
- Task Creation: Submit a research query to the API, specifying the desired thinking mode (deep or major) to receive a unique sessionId.
- Multi-Round Reasoning: The AI initiates a multi-step workflow, searching and synthesizing multi-source data based on the chosen complexity.
- Status Polling: The system monitors the task status via an asynchronous polling mechanism until the research cycle is marked as complete.
- Report Generation: Once the status is successful, the system generates downloadable assets, including PDF or Word reports.
- Automated Delivery: The finalized research document is downloaded and delivered to the user through integrated communication channels.
ZeeLin Deep Research Setup
To use this skill, you must obtain an API key by registering at the ZeeLin portal. Once acquired, configure your environment using the following steps:
# Set your API Key as an environment variable
export DESEARCH_API_KEY="your_api_key_here"
# Ensure dependencies like curl and jq are installed for processing
sudo apt-get install curl jq
ZeeLin Deep Research Data Schema & Taxonomy
The skill manages research data using a structured session-based taxonomy. Below is the primary metadata structure used during the research lifecycle:
| Attribute | Description | Values/Format |
|---|---|---|
sessionId |
Unique identifier for a research thread | UUID String |
thinking |
The complexity of reasoning applied | deep or major |
status |
The current state of the research task | 1 (Active), 2 (Success), 4 (Failed), 5 (Queued) |
reportType |
Format of the generated output | pdf, word, or markdown |
data.url |
Direct download link for the research asset | Secure HTTPS URL |
ZeeLin Deep Research Advanced Features
- Multi-turn Conversation: Utilize session persistence to ask follow-up questions and refine research findings dynamically.
- Asynchronous Background Execution: Support for long-running research tasks using non-blocking background processes within Openclaw Skills.
- Specialized Document Integration: Automated workflows for Feishu (Lark) that convert raw research into collaborative cloud documents.
- Concurrent Task Management: Built-in error handling for API concurrency limits and credit balance monitoring.
SKILL.md
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