Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Drafts, audits and revises responses to peer review: point-by-point replies, revision cover letters and marked-manuscript or LaTeX revision packages.
$ npx skills add Yuan1z0825/nature-skills --skill nature-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-response --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/Yuan1z0825/nature-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nature-response .claude/skills/nature-response && 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 "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response into .claude/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", 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/Yuan1z0825/nature-skills/tree/main/skills/nature-responseType 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 Yuan1z0825/nature-skills --skill nature-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-response --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nature-response .agents/skills/nature-response && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response into .agents/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", 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 Yuan1z0825/nature-skills --skill nature-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-response --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nature-response .cursor/skills/nature-response && 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 "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response into .cursor/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", 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/Yuan1z0825/nature-skills.git --path skills/nature-response--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 Yuan1z0825/nature-skills --skill nature-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-response --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nature-response .gemini/skills/nature-response && 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 "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response into .gemini/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", 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 Yuan1z0825/nature-skills nature-responseInstalls 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 Yuan1z0825/nature-skills --skill nature-response -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nature-response .github/skills/nature-response && 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 "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response into .github/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", 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 Yuan1z0825/nature-skills --skill nature-response -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-response --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nature-response .opencode/skills/nature-response && 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 "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response into .opencode/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", 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.
nature-responseDrafts, audits and revises responses to peer review: point-by-point replies, revision cover letters and marked-manuscript or LaTeX revision packages.
This skill acts as a router. For a new task the agent loads manifest.yaml and the always-load core files covering stance, red lines and the revision workflow, then identifies the task mode from draft, audit, revise, triage-only, cover-letter, revision-package, latex-template and appeal-like, the editor's decision type, and the user's language. Chinese-speaking users also get a Chinese cross-check block. The decision type is never guessed from the tone or number of reviewer comments, and unclear package-level work pauses to ask whether it is major or minor revision.
A local edit or bounded audit returns only the revised passage or findings, not a tracker, cover letter or full package, and appeals are routed separately instead of being the default. Many resources ship with it: references on comment taxonomy, difficult cases, LaTeX templates, package consistency audits and QA, plus examples for conflicting reviewers, major revision and minor revision. Initial submissions belong to nature-writing and simulated review to nature-reviewer.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e605b35. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
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.
Nature Reviewer Response loads about 1.5k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 731 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 found no risky patterns in SKILL.md.
Automated 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); the scripts in this folder are not scanned.
The full file from Yuan1z0825/nature-skills at commit e605b35, republished under its Apache-2.0 licence (© Yuan1z0825). 731 words, ~1,479 tokens.
.claude/skills/nature-response/SKILL.md (or your agent's skills folder). This skill also uses 42 other files; get the full folder from GitHub.For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.
Read manifest.yaml. Then read every file listed under always_load:
static/core/stance.md — the editor-facing purpose, the default stance, the red lines, and the source hierarchy that apply to every response job.static/core/workflow.md — accepted inputs, the revision correspondence workflow, and the output package format.Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:
draft / audit / revise / triage-only / cover-letter / revision-package / latex-template / appeal-like.Decision type is required for a new package-level revision strategy or complete response package.
First extract it from the editor letter or task context. If it remains unclear, ask whether this
is a Major Revision or Minor Revision and pause only decision-dependent work. A local wording
edit, audit of an existing reply, or comment-level triage may proceed with decision type marked
unknown. Do not infer the decision from the number, tone, or difficulty of reviewer comments.
Use references/intake-and-routing.md to fix the task mode, minimum inputs, and readiness state before drafting. Route appeal-like cases separately; do not draft an appeal as the default path.
For a local edit or bounded audit, return the revised passage or findings and relevant missing facts. Do not expand it into a master tracker, cover letter, or complete revision package unless requested. Apply the package workflow below only to the parts needed for the requested output.
Follow the workflow in core/workflow.md: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, deadlines, and reviewer-visibility rules from the email; identify mode and pass the decision-type gate; apply the Major- or Minor-Revision strategy without downgrading the severity of individual comments; extract editor instructions (IDs E.1) then reviewer comments (R1.1, R2.1) when present; classify each item by response action and independently verified work status; build an internal/editor master strategy and tracker; draft a standalone privacy-filtered response for each mutually blind reviewer; when a reviewer missed material already present in the manuscript, treat that as a clarity signal and revise the presentation instead of replying that the point was already stated; draft a revision cover letter when required; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state.
Whenever a response proposes or performs a manuscript main-text edit, also load
../nature-shared/core/main-text-discipline.md. Answer the reviewer completely
in the letter, but keep the manuscript change to the shortest text needed for
the reader. Prefer replacement or compression over appending, and route
non-central robustness or reconciliation detail to SI unless it changes the
central interpretation.
Never invent experiments, citations, line numbers, figure panels, supplementary items, editor instructions, or manuscript changes. Mark anything the author must supply as AUTHOR_INPUT_NEEDED.
The files under references/ and templates/ are deep resources, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/comment-taxonomy.md to classify comments, references/action-mapping.md for tracker fields, references/tone-and-stance.md for disagreement wording, references/difficult-cases.md for impossible experiments / conflicting reviewers / appeal-like cases, references/chinese-author-alignment.md for Chinese author notes, references/latex-templates.md for .tex cover/response/redline outputs, ../nature-shared/core/main-text-discipline.md for reviewer-driven manuscript additions and evidence relocation, references/package-consistency-audit.md whenever the manuscript is edited alongside the letter or the package is about to be compiled and delivered, and references/qa-checklist.md before finalizing.
qa-checklist.md and package-consistency-audit.md are complementary and both apply to a final package: the first asks whether the response is complete, honest, and well-toned; the second asks whether the marked manuscript, the clean manuscript, and the letter actually agree with each other after editing. For a LaTeX package, run scripts/check_package_consistency.py after the first complete draft, after every manuscript edit, and immediately before delivery. Any manuscript edit invalidates the letter's verbatim quotes and page references, so re-run the audit rather than treating it as a one-time final check.
© Yuan1z0825, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 42 other files (scripts, references) in skills/nature-response of Yuan1z0825/nature-skills.
Open the folder on GitHubat commit e605b35
Nature Reviewer Response 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 |
|---|---|---|---|---|---|---|
| Nature Reviewer Response this skillYuan1z0825/nature-skills | 47k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| LLM Reviewer Bias DefenseMichael-Jiahao-Zhang/game-the-llm-reviewer | 206 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Academic Rebuttal DraftingOpenLAIR/dr-claw | 1.2k | — | ~4.9k | Automated safety check: Notes | MIT | |
| Research Paper Writing CoachXiaomiMiMo/MiMo-Code | 14k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Academic Writing Assistantdonghuixin/AI-Vibe-Writing-Skills | 497 | — | ~616 | Automated safety check: Pass | MIT |
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Michael-Jiahao-Zhang/game-the-llm-reviewer
Applies small, meaning-preserving rhetorical edits to a finished manuscript so wording does not trigger known LLM reviewer penalties, and delivers a change note.
OpenLAIR/dr-claw
Analyzes reviewer comments and drafts venue-specific rebuttals for AI and computer science conferences, with an issue board, task list and paper edit plan.
XiaomiMiMo/MiMo-Code
Drafts, rewrites and reviews academic papers in ML, CV and NLP style, section by section, and compiles LaTeX sources to PDF.
donghuixin/AI-Vibe-Writing-Skills
Drafts and revises academic prose in the author's voice, repairs sentence flow, traces systems-paper claims to evidence and prepares reviewer responses.
voidful/academic-skills
Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan…
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Yuan1z0825/nature-skills
Creates, revises, audits and exports manuscript-ready scientific figures in Python or R, and routes AI-generated graphical abstracts to a separate workflow.
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
Yuan1z0825/nature-skills
Composes, revises or audits research proposals and opening reports through an evidence-first state machine with argument maps, section contracts and dynamic expert reviewers.
Yuan1z0825/nature-skills
Routes literature requests to lawful full-text sources: open access, publisher APIs, CNKI and institutional browser access, with a supporting-information gate.
Yuan1z0825/nature-skills
Rebuilds slide images, screenshots, scanned PDFs or image-only PPTX files as PowerPoint with editable objects, using a local CLI with per-page manifests and QA.
Works with
Categories
Drafts, audits and revises responses to peer review: point-by-point replies, revision cover letters and marked-manuscript or LaTeX revision packages. This skill acts as a router.yaml and the always-load core files covering stance, red lines and the revision workflow, then identifies the task mode from draft, audit, revise, triage-only, cover-letter, revision-package, latex-template and appeal-like, the editor's decision type, and the user's language.
Nature Reviewer Response fits situations like: writing a point-by-point reply to reviewer comments; preparing a revision cover letter for the editor; auditing an existing response draft for gaps or unsupported claims; building a LaTeX revision package with marked changes.
Run `npx skills add Yuan1z0825/nature-skills --skill nature-response -a claude-code`. Or copy the skill folder (skills/nature-response in Yuan1z0825/nature-skills) into .claude/skills/nature-response in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Yuan1z0825/nature-skills --skill nature-response -a codex`. Or copy the skill folder (skills/nature-response in Yuan1z0825/nature-skills) into .agents/skills/nature-response 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 Yuan1z0825/nature-skills --skill nature-response -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-response, .gemini/skills/nature-response, .github/skills/nature-response and .opencode/skills/nature-response in your project.
SKILL.md names no scripts, command-line tools or credentials: Nature Reviewer Response is instructions for the agent only. Our summary lists: The editor's decision letter and the reviewer comments; The marked manuscript or LaTeX source for a full revision package.
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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Nature Reviewer Response is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nature Reviewer Response: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), LLM Reviewer Bias Defense (Michael-Jiahao-Zhang/game-the-llm-reviewer, 206 stars), Academic Rebuttal Drafting (OpenLAIR/dr-claw, 1.2k stars) and Research Paper Writing Coach (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Yuan1z0825 (a GitHub user) maintains it in Yuan1z0825/nature-skills, which has 47,222 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 11, 2026.
Source: Yuan1z0825/nature-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.