academic-deep-research

What This Skill Does

Academic Deep Research is a professional-grade research agent designed for OpenClaw that moves beyond surface-level summarization. It functions as an iterative, transparent investigator, ensuring that every claim is backed by multi-source verification, APA 7th style citations, and rigorous evidence hierarchies. Unlike standard AI wrappers, this skill mandates a strict three-phase, two-cycle research workflow, preventing 'hallucination' by forcing the agent to identify contradictions and analyze data limitations before generating a final report.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/kesslerio/academic-deep-research

Ensure your agent has the appropriate permissions for web_search and web_fetch to allow the skill to perform its full duty cycle.

Use Cases

• Literature Reviews: Systematically gathering and synthesizing existing academic research on specific topics.
• Competitive Intelligence: Deep-diving into market trends, competitor strategies, and regulatory landscapes.
• Fact-Checking: Verifying complex claims by cross-referencing multiple, high-authority sources.
• Strategic Decision Support: Building comprehensive reports for business or technical projects that require long-form, evidence-backed documentation.

Example Prompts

1. "I need an exhaustive literature review on the impact of transformer architectures on long-context reasoning in LLMs. Use this skill to map out the current state of research."
2. "Perform a deep competitive analysis on emerging decentralized identity providers. I need a report covering technical stack, market adoption, and potential security vulnerabilities."
3. "Tell me everything about the history and socio-economic impact of the 20th-century Green Revolution, with a focus on verified agricultural data."

Tips & Limitations

• Be Patient: Because this skill enforces three mandatory stop-points for user clarification and approval, it will take more time to complete than a standard 'search and answer' query. Do not skip these phases, as they are crucial for precision.
• Provide Detail: The more specific your constraints (geography, source type, timeframes) in Phase 1, the higher the quality of the resulting Phase 3 reports.
• Review Evidence: Always check the 'Evidence Trail' provided at the end of the research cycles to ensure you understand the provenance of the information supplied by the agent.