research-proposal
From the author
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.
Install
npx skills add gaasher/Agent-Loop-Skills --skill research-proposal -a claude-code
Installs to .claude/skills/research-proposal/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 80
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
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- scientific-writergaasher/Agent-Loop-SkillsUse when the user has a scientific draft (with its dataset, figures, and optional analysis code) and wants it iteratively revised until it clears a quality bar. Five specialist judges (figures, scientific content, style, formatting, code) critique the draft; a fresh, independent peer_reviewer grades it on those same axes (1-5 each → a percentage) with honesty guardrails; a scientific_writer revises prose, figures, and code — regenerating figures by running the user's plot command — until the peer-review score clears the threshold or the budget is hit. Not for writing a paper from a blank page, and not for a standalone literature survey.Science★ 177
- sci-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Science reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.Science★ 1.3K
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- literature-surveygaasher/Agent-Loop-SkillsUse when the user wants a structured, saturating literature survey on a question — not a one-shot summary, but an evidence/contradiction matrix (sources × claims) built by iterative search until coverage stops growing. Each round expands the search (new sub-topic queries plus citation-graph walks), admits new sources, extracts their claims with verbatim snippets, and records where every source stands on each claim (supports / contradicts / qualifies); the feedback signal is how many new matrix-changing sources a round adds, and it stops at saturation, patience, or budget. The output is the matrix plus a synthesis of consensus, disputes, and gaps, every cell backed by a real citation. Not for grading a written proposal against the literature (that is a proposal-evaluation task) and not for generating new hypotheses — this maps what the literature already says.Writing★ 177
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