idea-to-proposal

To turn a raw research idea into a publish-ready proposal, the Skill normalizes free-text input into a structured brief, runs parallel literature searches, and iteratively refines the idea across eight evaluation dimensions before generating the final document.

Multi-dimension evaluation for academic proposal generation works by scoring the initial idea across novelty, technical soundness, feasibility, significance, clarity, experimental validity, scalability, and positioning, iterating refinements until all dimension thresholds are met.

Yes, you can use arxiv literature search to validate research idea novelty and feasibility. The Skill applies parallel literature search using arxiv dependencies to automatically score and strengthen your idea's positioning against existing academic publications.

The best way to structure a research brief from a free-text idea is to normalize the input into a structured format, apply autonomous refinement loops for weak dimensions, and output a complete proposal with method design and an experiment plan.

Yes, you need pybtex to generate a formal research proposal with citations. The Skill depends on pybtex alongside arxiv and requests to parse literature search results and format them into the final publish-ready academic document.

You should not use automated proposal generation for academic writing if your research idea lacks enough initial context for structuring, or if you want to bypass the human review gate and autonomous refinement loop required to meet evaluation thresholds.