Eve Research Supervisor Pro

What This Skill Does

Eve Research Supervisor Pro is a comprehensive, persistent research management system designed specifically for the OpenClaw environment. It transforms your local agent into a high-level academic assistant capable of managing the entire lifecycle of a research project—from initial literature search and gap analysis to the final generation of publication-ready LaTeX manuscripts. Unlike standard AI chatbots that only provide ephemeral answers, Eve maintains persistent state across sessions, ensuring that your research goals, target venues, and ongoing progress are tracked reliably using dedicated memory scripts. It operates in three distinct modes: Auto (full autonomy), Semi-Manual (guided steps), and Manual (user-controlled), allowing you to customize the intensity of your academic workflow.

Installation

To integrate Eve into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/amzayn/eve-research-supervisor-pro

Ensure that your environment allows for local script execution, as the skill relies on session_memory.py to maintain project context between active sessions.

Use Cases

• Literature Review: Automate the retrieval of relevant ArXiv papers and perform systematic gap analysis to identify research voids.
• Thesis Management: Track long-term progress for PhD or Master's theses by updating status reports and organizing research metadata.
• Manuscript Drafting: Translate structured research findings into formatted, LaTeX-ready documents with appropriate citation structures.
• Collaborative Research: Utilize the agent as a consistent reference point to maintain team alignment on specific research goals and target venues.

Example Prompts

1. "Eve, I'm starting a new literature review on transformer architectures for time-series forecasting. Please scan the latest ArXiv entries and highlight potential research gaps."
2. "I've completed my gap analysis. Can you help me structure the methodology section for my NeurIPS submission?"
3. "Summarize the current progress on my thesis and update the memory to reflect my recent focus shift toward multi-modal learning."

Tips & Limitations

• Be Specific: Always provide clear research keywords during onboarding to ensure the relevance of retrieved papers.
• Verification: While Eve is designed to avoid hallucinations, always verify generated citations and technical claims against original peer-reviewed sources.
• Compute Awareness: Inform Eve about your available hardware to ensure it suggests models and data processing strategies that fit within your local computational limits.
• Persistence: Ensure that you do not manually alter files in the ~/.openclaw/workspace/research-supervisor-pro/ directory, as this can corrupt the agent's memory state.