Use when the user has a research proposal (problem + proposed methodology + planned experiments) and wants it iteratively strengthened until it clears a passing grade. ScholarEval grades the proposal against the literature (Soundness + Contribution), a Judge scores that feedback 0-100 on a fixed rubric, and a Reviser rewrites the proposal to fix the worst points without diluting the research question; loops until the grade passes or the budget is hit. Not for generating a proposal from scratch, and not for running a literature survey on its own.
$npx -y skills add gaasher/agent-loop-skills --skill research-proposalInstalls into the current project.
Run `npx skills use "https://github.com/gaasher/agent-loop-skills" --skill "gaasher/agent-loop-skills/research-proposal"` 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/gaasher/agent-loop-skills" that are relevant to the current task. Run `npx skills add "https://github.com/gaasher/agent-loop-skills"` and select the relevant skills, then follow their instructions.