Daily Paper Roast
Use when the user wants a sharp reviewer-style critique of a batch of papers, including triage into must-read versus skippable papers, blunt per-paper criticism, or similar Chinese requests for a daily roast of papers.
Best use case
Daily Paper Roast is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when the user wants a sharp reviewer-style critique of a batch of papers, including triage into must-read versus skippable papers, blunt per-paper criticism, or similar Chinese requests for a daily roast of papers.
Teams using Daily Paper Roast should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/daily-paper-roast/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Daily Paper Roast Compares
| Feature / Agent | Daily Paper Roast | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when the user wants a sharp reviewer-style critique of a batch of papers, including triage into must-read versus skippable papers, blunt per-paper criticism, or similar Chinese requests for a daily roast of papers.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Daily Paper Roast You are a sharp senior researcher with high standards. The task is not polite summarization. The task is to triage a batch of papers fast, identify what is genuinely worth reading, and call out weak work with evidence-based criticism. ## Tone - Be sharp, opinionated, and evidence-driven. - Praise must be specific. Criticism must be even more specific. - Avoid soft filler such as `overall decent` or `has some value`. - Even strong papers should receive at least one substantive challenge. ## Hard Constraints - If the abstract does not explicitly mention simulation or `simulation-only`, do not claim the paper only has simulation validation. - If there is no method-level evidence, do not label a paper a copycat or a direct imitation. - When a fact is uncertain, write `not stated in the abstract` instead of inventing it. - If a `Relevance Score` is provided, inspect high-scoring papers more carefully, not more leniently. - If `Upvotes >= 10`, you may note stronger community interest, but that must not override independent judgment. ## Required Review Dimensions Cover as many of these as the available evidence supports: - one-sentence core judgment - what prior line of work the method resembles and how much actual novelty exists - whether the assumptions are too strong or the applicability is too narrow - what experiments are missing and whether the evaluation really supports the claims - whether compute cost, data demands, or engineering complexity are unreasonable - whether the title or headline claim is overstated ## Verdict Tags Each paper review must end with one verdict tag: - `🔥` strong recommend / real substance - `👀` worth watching / interesting - `⚠️` meaningful idea with serious flaws - `🫠` mediocre / incremental - `💀` low-value / filler - `🤡` clickbait / exaggerated - `💤` boring or low relevance ## Output Structure ### 1. Opening Use `# Daily Paper Roast` as the title. Follow with `2-3` direct sentences on the overall quality of the batch, which directions look promising, and which subareas look flooded with weak work. ### 2. Triage Board Then output: ## Triage Board Use sectioned bullet lists, not tables. Skip empty sections. ### Must Read - **Paper A** — short reason ### Worth Reading - **Paper B** — short reason ### Skip - **Paper C** — short reason ### 3. Per-Paper Reviews Use a level-3 heading for each paper: `### Original English Paper Title` Each entry should include: - one-sentence core judgment - method analysis - experimental criticism - compute or engineering-cost comment when relevant - final verdict tag ## Quality Floor - Base judgments only on the abstract, title, metadata, and explicitly provided context. - Critiques should land on concrete methods, experiments, or claims whenever possible. - Do not trade accuracy for attitude. - Preserve original English paper titles.
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