research-proposal

To improve a research proposal, this Skill applies an iterative evaluation system that assesses soundness and contribution, then uses automated rewriting to generate revision suggestions that enhance the proposal's overall quality and grade.

A literature-grounded approach evaluates your proposal's soundness and contribution by cross-referencing it against existing literature, ensuring that iterative revisions maintain research intent while improving academic novelty and alignment.

Yes, you need Python 3.9+ and the literature-search skill installed, as the proposal enhancement process depends on the literature-search skill to ground its iterative evaluation and rewriting mechanisms in relevant academic sources.

Yes, this Skill is ideal for researchers looking to improve the quality and novelty of proposals before submission to journals or funding agencies, applying expert feedback through automated revisions to strengthen the final document.

Iterative evaluation works by repeatedly assessing the proposal through a multi-module system that checks soundness and contribution, then generating targeted rewriting suggestions to apply changes that progressively improve the document's grade.

While automated rewriting applies changes based on expert feedback to improve proposals, it requires a Python 3.9+ environment and the literature-search skill, meaning it cannot function offline or without the necessary literature dependencies for grounding.