deepresearch-conversation

What This Skill Does

Deep ReSearch Conversation is an advanced skill powered by Baidu that enables OpenClaw agents to perform sophisticated, multi-step research tasks. Unlike standard Q&A, this skill manages long-form, iterative research processes where agents perform deep reasoning, source verification, and ongoing content refinement. It supports streaming responses, allowing users to collaborate with the agent by reviewing structured outlines, verifying facts, and correcting the research trajectory in real-time until a comprehensive result is achieved.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ide-rea/deepresearch-conversation Once installed, the API keys required for Baidu integration are automatically retrieved from your established OpenClaw configuration, ensuring seamless authentication without manual setup.

Use Cases

This skill is ideal for complex information-gathering workflows, such as:

• Market Analysis: Compiling multi-source reports on industry trends by analyzing uploaded financial documents and PDFs.
• Academic Synthesis: Summarizing and extracting insights from a collection of research papers.
• Strategic Planning: Collaborating with the agent to build a multi-chapter report, confirming the outline at each stage to ensure alignment with specific goals.
• Fact-Intensive Research: Tasks requiring the agent to search, synthesize, and allow for user-led verification to eliminate hallucinations or inaccuracies.

Example Prompts

1. "Perform a deep dive analysis on the impact of quantum computing on modern cryptography; start by creating a comprehensive research outline for me to review."
2. "I'm uploading three quarterly reports; please analyze them and synthesize a comparative summary of the company's growth strategy over the last year."
3. "Refine the section on economic trends from your previous response—the data seems slightly outdated, please cross-reference it with the latest 2024 fiscal data."

Tips & Limitations

• Iterative Refinement: The agent excels when you treat the conversation as a dialogue. If the agent proposes a structured outline, take time to provide feedback before it executes the full search.
• File Management: Ensure files are within the stated limits (e.g., PDF under 100MB). For better performance, extract data from tables or large documents before uploading if they exceed complexity limits.
• State Retention: Always ensure you are working within a sustained session by utilizing the conversation_id returned from the creation step, as this ensures the agent maintains context across your multi-round research session.