academic-deep-research

What problem does it solve?

The Academic Deep Research skill provides a transparent, reproducible framework for exhaustive investigations using native OpenClaw tools. It ensures methodology visibility, mandated checkpoints, and a strict narrative workflow from planning to final reporting.

Core Features & Use Cases

• Mandated two-cycle research per theme with explicit analysis between tool uses to surface evolving understanding and contradictions.
• Self-contained research workflow that leverages web_search, web_fetch, sessions_spawn, memory_search, memory_get, and structured narrative outputs to produce academically rigorous results.
• Ideal for literature reviews, competitive intelligence with source verification, and complex topics requiring multi-source synthesis with explicit traceability.

Quick Start

Use the academic-deep-research skill to initiate a structured literature review. Example: /research "current state of AI coding assistants" followed by planning and two-cycle execution.