reviewer-defense
FeaturedUse when the user wants to anticipate reviewer questions, select the strongest ablations to present, prepare rebuttals, or identify paper weaknesses before submission. Triggers on phrases like "reviewer questions", "anticipate reviewers", "rebuttal", "paper weaknesses", "defend the paper", or "strengthen the paper".
Install
Quality Score: 88/100
Skill Content
Details
- Author
- fcakyon
- Repository
- fcakyon/phd-skills
- Created
- 6 months ago
- Last Updated
- 1 weeks ago
- Language
- Shell
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
academic-rebuttal-simulator
Simulates 'Reviewer 2' for ML papers (NeurIPS, ICLR). Critiques methodology, novelty, baselines, and related work. Outputs structured OpenReview-format reviews with sub-scores, suggests target venues with verified acceptance rates, and drafts conference rebuttals. Authored by João P. M. Silva.
kill-argument
Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues. Use when user says "kill argument", "adversarial review", "hostile review", "rebuttal preparation", "reviewer-2 simulation", or before submitting a theory paper that has already passed standard review rounds.
adversarial-review
Review a research paper, proposal, or technical writeup by spawning five constructive reviewer archetypes — the Steelman-Builder, Assumption Auditor, Mechanism Seeker, Generous Skeptic, and Contextualizer — each of whom reads critically and curiously and writes a focused review, then synthesizes them into a meta-review with the crux and a decision. Use whenever the user wants a paper, draft, abstract, experiment plan, or research idea pressure-tested, red-teamed, or "reviewed like ICLR/NeurIPS," asks for "reviews of my paper," wants to know how reviewers will react before submitting, or asks to find the weaknesses in a technical argument. Trigger even when the user just says "review this," "tear this apart," or "what would reviewers say," as long as the artifact is a research or technical document.