Research Writing
alfonso0512/research-writing-skill
科研论文写作助手,提供 30 个 Prompt 模板覆盖论文写作全流程. An agent skill from alfonso0512/research-writing-skill.
Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming.
$ npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install claesbackman/AI-research-feedback review-paper-light --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/claesbackman/AI-research-feedback.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skills/review-paper-light .claude/skills/review-paper-light && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "review-paper-light" agent skill from https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-light into .claude/skills/review-paper-light/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-paper-light", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-lightType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install claesbackman/AI-research-feedback review-paper-light --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/claesbackman/AI-research-feedback.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Skills/review-paper-light .agents/skills/review-paper-light && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-paper-light" agent skill from https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-light into .agents/skills/review-paper-light/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-paper-light", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install claesbackman/AI-research-feedback review-paper-light --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/claesbackman/AI-research-feedback.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Skills/review-paper-light .cursor/skills/review-paper-light && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "review-paper-light" agent skill from https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-light into .cursor/skills/review-paper-light/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-paper-light", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/claesbackman/AI-research-feedback.git --path Skills/review-paper-light--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install claesbackman/AI-research-feedback review-paper-light --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/claesbackman/AI-research-feedback.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Skills/review-paper-light .gemini/skills/review-paper-light && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "review-paper-light" agent skill from https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-light into .gemini/skills/review-paper-light/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-paper-light", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install claesbackman/AI-research-feedback review-paper-lightInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/claesbackman/AI-research-feedback.git skills-src && mkdir -p .github/skills && cp -r skills-src/Skills/review-paper-light .github/skills/review-paper-light && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "review-paper-light" agent skill from https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-light into .github/skills/review-paper-light/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-paper-light", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install claesbackman/AI-research-feedback review-paper-light --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/claesbackman/AI-research-feedback.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Skills/review-paper-light .opencode/skills/review-paper-light && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "review-paper-light" agent skill from https://github.com/claesbackman/AI-research-feedback/tree/main/Skills/review-paper-light into .opencode/skills/review-paper-light/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-paper-light", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
review-paper-lightRun a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming.
Review Paper Light is an agent skill from claesbackman/AI-research-feedback. Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Completes in ~1 minute.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering LaTeX. The repository describes itself as: A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d129756. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGlobGrepBashAgentFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Review Paper Light loads about 2.3k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 1,050 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Glob, Grep, Bash, AgentAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from claesbackman/AI-research-feedback at commit d129756, republished under its MIT licence (© claesbackman). 1,050 words, ~2,315 tokens.
.claude/skills/review-paper-light/SKILL.md (or your agent's skills folder).You are coordinating a fast pre-submission check of an economics paper. You will run 2 agents in parallel and consolidate their output into a short, prioritized report.
If a file path is provided in $ARGUMENTS, use it as the main LaTeX file. Otherwise, auto-detect:
**/*.tex to list all .tex files (exclude _minted-*, build/, output/).\documentclass or \begin{document}. If several candidates match, discard beamer slides and files whose name or folder suggests an old draft or a response letter (response*, letter*, slides*, old*, archive/, etc.), then choose the candidate with the largest include-graph. If still ambiguous, ask the user.\input{}, \include{}, and \subfile{} references (recursively) to build the paper's include-graph.**/Tables/**/*.tex, **/tables/**/*.tex, root-level *table*.tex. Keep only tables that are \input{}/\include{}d from the include-graph.Record:
In a single message, launch both agents using the Agent tool with subagent_type: "general-purpose".
Scope guard — prepend the following block verbatim to both agents' prompts:
Review ONLY the files listed at the end of this prompt. Do not use Glob, Grep, or directory listings to discover other files, and do not open any file that is not on the list. In particular, ignore any previous review reports (
QUICK_REVIEW_*.md,PRE_SUBMISSION_REVIEW_*.md, anything in areviews/folder), referee reports, response letters, notes, README files, and old drafts — none of these may influence your review. Within the listed .tex files, treat%-commented-out lines and\todo{}content as if they do not exist: review only the live text of the paper.
You are a demanding associate editor at a top economics journal. Read all .tex files completely. Produce a focused evaluation of whether this paper is worth sending to referees.
Part 1 — The Central Contribution
[UNVERIFIED — authors must confirm] and never invent citation details.Part 2 — Identification and Credibility
Part 3 — Required Analyses
List up to 5 analyses whose absence is a blocker for acceptance. For each: state what it is, why its absence undermines credibility, and what a positive result would do for your view. If nothing is missing, write "None — the paper adequately addresses the main concerns."
Tag each required analysis [CRITICAL].
Part 4 — Pointed Questions to the Authors
Write 3–5 specific, pointed questions that get at the paper's weakest points. Frame them as a referee would.
Part 5 — Preliminary Recommendation
Based on Parts 1–3, state exactly one of: [Send to referees | Revise before sending to referees | Desk reject], with one sentence of justification.
Output format:
## Agent A: Contribution & Identification
### Part 1 — Central Contribution
[assessment + rating]
### Part 2 — Identification and Credibility
[assessment]
### Part 3 — Required Analyses
[numbered list: [CRITICAL] Analysis | Why absence matters | What a positive result would do]
### Part 4 — Questions to the Authors
[numbered list of 3–5 questions]
### Part 5 — Preliminary Recommendation
[one of: Send to referees | Revise before sending to referees | Desk reject — with one sentence of justification]The .tex files to review are: [LIST ALL TEX FILE PATHS HERE]
You are a skeptical econometrician enforcing "claim discipline." Read all .tex files and flag every place where the paper overstates its evidence.
What to check:
Causal language without causal identification: Flag every specific sentence where causal language ("causes", "leads to", "drives", "determines", "because of", "due to", "results in") is applied to the main findings without genuine causal identification. Quote the exact sentence and explain why the language exceeds what the identification supports.
Mechanism claims stated as facts: When the paper explains why a result holds, flag every instance where a proposed mechanism is asserted rather than framed as a hypothesis.
Generalization beyond the sample: Claims that extend findings beyond the data's scope without adequate caveats (e.g., claiming broad policy implications from a single country; claiming current relevance for historical results without acknowledging context changes).
Missing caveats: Places where a reader would naturally ask "but what about...?" and the paper doesn't address it. Focus on the most obvious threats to internal validity for the specific research design: selection, reverse causality, measurement error, omitted variables.
Statistical vs. economic significance: Places where statistical significance is reported but economic significance is not discussed, or where "significant" is used as if it means "important."
Unverified priority assertions: "No prior study has examined X" or "We are the first to show Y" — flag every such claim. Authors must verify before submission.
Tag every issue [CRITICAL], [MAJOR], or [MINOR].
Output format:
## Agent B: Causal Overclaiming & Unsupported Claims
### Causal Overclaiming
[numbered list: [CRITICAL] or [MAJOR] Section | "Exact quoted text" | Why it overclaims | Fix]
### Mechanism Claims Stated as Facts
[numbered list: [MAJOR] or [MINOR] same format]
### Missing Caveats
[numbered list: [CRITICAL] or [MAJOR] Topic | Where to address it | Suggested fix]
### Other Issues
[numbered list: [MAJOR] or [MINOR] same format]The .tex files to review are: [LIST ALL TEX FILE PATHS HERE]
After both agents return, consolidate into a single report.
Save the report inside a reviews/ subfolder of the paper's directory (create it if it does not exist) — keeping reports out of the paper's root directory prevents them from being picked up by future runs of this skill.
Check whether reviews/QUICK_REVIEW_[YYYY-MM-DD].md already exists. If so, append -v2 (or -v3, etc.).
Save to: reviews/QUICK_REVIEW_[YYYY-MM-DD].md
Report structure:
# Quick Pre-Submission Check
**Paper**: [Title]
**Authors**: [Authors]
**Date**: [Today's date]
---
## Overall Assessment
[2–3 sentences: (1) what the paper does; (2) contribution rating from Agent A; (3) the single most pressing issue from the Priority Items below.]
**Preliminary Recommendation**: [Copy exactly from Agent A Part 5 — do not paraphrase]
---
## 1. Contribution & Identification
[Agent A output]
---
## 2. Causal Overclaiming & Unsupported Claims
[Agent B output]
---
## Priority Action Items
Collect all tagged items and rank: `[CRITICAL]` first (identification and causal overclaiming items before others), then `[MAJOR]`, then `[MINOR]`.
**CRITICAL** (could cause desk rejection or major objections):
1. ...
**MAJOR** (will likely be raised by referees):
4. ...
**MINOR** (polish):
8. ...After saving, report to the user:
© claesbackman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in Skills/review-paper-light of claesbackman/AI-research-feedback.
Open the folder on GitHubat commit d129756
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in claesbackman/AI-research-feedback, which our catalogue first saw on October 7, 2026.
Review Paper Light next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Review Paper Light this skillclaesbackman/AI-research-feedback | 495 | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Research Writingalfonso0512/research-writing-skill | 490 | 1 repos | ~818 | Automated safety check: Pass | MIT | |
| Mathmodel SkillhandsomeZR-netizen/mathmodel-skill | 292 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Newbookscunning1975/MixtapeTools | 474 | — | ~1.3k | Automated safety check: Pass | None | |
| Paper Auditbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Paper WritingMLNLP-World/Paper-Writing-Tips | 4.7k | — | ~630 | Automated safety check: Pass | None |
alfonso0512/research-writing-skill
科研论文写作助手,提供 30 个 Prompt 模板覆盖论文写作全流程. An agent skill from alfonso0512/research-writing-skill.
handsomeZR-netizen/mathmodel-skill
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…
scunning1975/MixtapeTools
Scaffold a new book project — folders, memoir-based LaTeX skeleton, custom style with voiced sidebars, bibliography stub, CLAUDE.md, README, and a chapter-per-file structure that converts cleanly to…
brycewang-stanford/Auto-Empirical-Research-Skills
Deep-review-first audit for Chinese and English academic papers across LaTeX, Typst, and PDF formats.
MLNLP-World/Paper-Writing-Tips
学术论文写作检查与优化助手。基于 MLNLP-World 社区整理的论文写作技巧,帮助检查和优化学术论文。Use when: (1) 检查论文 LaTeX 格式和排版, (2) 优化公式符号使用, (3) 改进图表设计, (4) 润色英文学术表达, (5) 检查参考文献格式, (6) 投稿前终稿检查, (7) 用户询问论文写作技巧或规范。
EvoScientist/EvoSkills
A skill your agent uses whenever the user submits a non-trivial mathematical claim that needs a rigorous proof or audit.
claesbackman/AI-research-feedback
Build a Quarto reveal.js slide deck in the explorable-explanation style (Nicky Case) — one idea per slide, assertion titles, a concrete running example, run-time SVG stages the presenter drives…
claesbackman/AI-research-feedback
Split a PDF into chunks and convert it to readable markdown text.
claesbackman/AI-research-feedback
Convert a LaTeX research paper into a policy brief, 1-page summary, or 5-page summary for a general audience, with factual review and a standalone HTML page for GitHub Pages.
claesbackman/AI-research-feedback
Run a 6-agent pre-submission panel review for a grant proposal targeting a specified funder or program
claesbackman/AI-research-feedback
Run a fast 3-agent mechanical check of an economics paper — spelling and grammar, internal consistency and cross-references, and unsupported claims.
claesbackman/AI-research-feedback
Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal
Categories
Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Review Paper Light is an agent skill from claesbackman/AI-research-feedback. Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming.
Review Paper Light fits situations like: tasks that involve LaTeX.
Run `npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a claude-code`. Or copy the skill folder (Skills/review-paper-light in claesbackman/AI-research-feedback) into .claude/skills/review-paper-light in your project. Claude Code loads it when a task matches its description.
Run `npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a codex`. Or copy the skill folder (Skills/review-paper-light in claesbackman/AI-research-feedback) into .agents/skills/review-paper-light in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add claesbackman/AI-research-feedback --skill review-paper-light -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-paper-light, .gemini/skills/review-paper-light, .github/skills/review-paper-light and .opencode/skills/review-paper-light in your project.
SKILL.md names no scripts, command-line tools or credentials: Review Paper Light is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash, Agent.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Review Paper Light is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Review Paper Light: Research Writing (alfonso0512/research-writing-skill, 490 stars), Mathmodel Skill (handsomeZR-netizen/mathmodel-skill, 292 stars), Newbook (scunning1975/MixtapeTools, 474 stars) and Paper Audit (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
claesbackman (a GitHub user) maintains it in claesbackman/AI-research-feedback, which has 495 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 25, 2026.
Source: claesbackman/AI-research-feedback on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.