What problem does it solve?
This Skill streamlines the end-to-end preparation of a graduate research proposal by extracting verifiable information from a target professor's homepage, matching that trajectory to an applicant's real skills and experience, and producing a single feasible, advisor-aligned Markdown proposal ready for revision and submission.
Core Features & Use Cases
- Professor intelligence extraction: Deeply crawl and synthesize professor pages (research, publications, projects, members, news) with source URLs and explicit checks for admissions restrictions.
- Single-topic feasibility design: Proposes exactly one focused research topic that aligns with the professor's recent trajectory and the applicant's capabilities, with matching rationale and method path.
- Literature & structure pipeline: Builds a Background / Current State / Research Gap / Methodology literature framework, generates a domain-adapted outline, and writes a quality-checked Markdown proposal following internal style and checklist resources.
- Confirmation gates & safety: Enforces mandatory topic and outline confirmations, avoids fabrication, preserves language consistency, and applies quality/hedging/style constraints before final delivery.
- Use Case: An applicant with a target professor URL and academic background needs a polished, professor-aligned PhD proposal in English or Chinese that is evidence-backed and ready to export as Markdown.
Quick Start
Provide the professor homepage URL and your academic background, specify the output language and discipline, and request a professor-matched research proposal.
