Comprehensive topic-driven literature survey for AI/ML research. Searches arXiv, Semantic Scholar, and DBLP for recent papers (default: last 1 year), identifies research gaps, performs cross-domain exploration, and proposes 2-3 innovation directions with feasibility assessment. Use this skill when the user wants to survey a research topic, find related work, identify research gaps, or generate research ideas. Also use when the user says "literature review", "related work search", "find papers about", or "what's the latest on".
$npx -y skills add jeandiable/academic-research-plugin --skill literature-surveyInstalls into the current project.
Run `npx skills use "https://github.com/jeandiable/academic-research-plugin" --skill "jeandiable/academic-research-plugin/literature-survey"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jeandiable/academic-research-plugin" that are relevant to the current task. Run `npx skills add "https://github.com/jeandiable/academic-research-plugin"` and select the relevant skills, then follow their instructions.