Research Claw
AlphaLab-USTC/ResearchClaw
Complete AI research assistant with 6 core capabilities: paper discovery, deep reading notes, reading list management, research taste learning, idea generation, and paper writing.
Core skill for the deep research and writing tool. An agent skill from neflibata-feng/MyArxiv-Agent.
$ npx skills add neflibata-feng/MyArxiv-Agent --skill scientific-writing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install neflibata-feng/MyArxiv-Agent scientific-writing --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/neflibata-feng/MyArxiv-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/skills/CorePipeline/scientific-writing .claude/skills/scientific-writing && 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 "scientific-writing" agent skill from https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writing into .claude/skills/scientific-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-writing", 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/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writingType 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 neflibata-feng/MyArxiv-Agent --skill scientific-writing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install neflibata-feng/MyArxiv-Agent scientific-writing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neflibata-feng/MyArxiv-Agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/skills/CorePipeline/scientific-writing .agents/skills/scientific-writing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scientific-writing" agent skill from https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writing into .agents/skills/scientific-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-writing", 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 neflibata-feng/MyArxiv-Agent --skill scientific-writing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install neflibata-feng/MyArxiv-Agent scientific-writing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neflibata-feng/MyArxiv-Agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/skills/CorePipeline/scientific-writing .cursor/skills/scientific-writing && 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 "scientific-writing" agent skill from https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writing into .cursor/skills/scientific-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-writing", 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/neflibata-feng/MyArxiv-Agent.git --path agent/skills/CorePipeline/scientific-writing--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 neflibata-feng/MyArxiv-Agent --skill scientific-writing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install neflibata-feng/MyArxiv-Agent scientific-writing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neflibata-feng/MyArxiv-Agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/skills/CorePipeline/scientific-writing .gemini/skills/scientific-writing && 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 "scientific-writing" agent skill from https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writing into .gemini/skills/scientific-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-writing", 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 neflibata-feng/MyArxiv-Agent scientific-writingInstalls 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 neflibata-feng/MyArxiv-Agent --skill scientific-writing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/neflibata-feng/MyArxiv-Agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/skills/CorePipeline/scientific-writing .github/skills/scientific-writing && 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 "scientific-writing" agent skill from https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writing into .github/skills/scientific-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-writing", 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 neflibata-feng/MyArxiv-Agent --skill scientific-writing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install neflibata-feng/MyArxiv-Agent scientific-writing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neflibata-feng/MyArxiv-Agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/skills/CorePipeline/scientific-writing .opencode/skills/scientific-writing && 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 "scientific-writing" agent skill from https://github.com/neflibata-feng/MyArxiv-Agent/tree/main/agent/skills/CorePipeline/scientific-writing into .opencode/skills/scientific-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-writing", 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.
scientific-writingCore skill for the deep research and writing tool. An agent skill from neflibata-feng/MyArxiv-Agent.
Scientific Writing is an agent skill from neflibata-feng/MyArxiv-Agent. Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
Its SKILL.md is about 8.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files and assets (for example `assets/REPORT_FORMATTING_GUIDE.md`, `references/citation_styles.md` and `references/figures_tables.md`).
It sits in Research & Science, covering Scientific writing, Academic paper search and ORMs and data access. It works with Prisma and arXiv. The repository describes itself as: 个人arXiv论文知识空间,欢迎fork或star! The licence is MIT.
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 46bea62. 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:
ReadWriteEditBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythonFrom 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.
Scientific Writing loads about 8.4k tokens when it runs, and up to ~46k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 3,408 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, BashAutomated 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 neflibata-feng/MyArxiv-Agent at commit 46bea62, republished under its MIT licence (© neflibata-feng). 3,408 words, ~8,431 tokens.
.claude/skills/scientific-writing/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript. Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.
This skill should be used when:
⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.
This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document:
Every scientific writeup MUST include a graphical abstract. This is a visual summary of your paper that:
Generate the graphical abstract FIRST:
python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.pngGraphical Abstract Requirements:
[HH:MM:SS] GENERATED: Graphical abstract for paper summary⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.
Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.
MINIMUM Figure Requirements:
| Document Type | Minimum | Recommended |
|---|---|---|
| Research Papers | 5 | 6-8 |
| Literature Reviews | 4 | 5-7 |
| Market Research | 20 | 25-30 |
| Presentations | 1/slide | 1-2/slide |
| Posters | 6 | 8-10 |
| Grants | 4 | 5-7 |
| Clinical Reports | 3 | 4-6 |
Use scientific-schematics EXTENSIVELY for technical diagrams:
python scripts/generate_schematic.py "your diagram description" -o figures/output.pngUse generate-image EXTENSIVELY for visual content:
python scripts/generate_image.py "your image description" -o figures/output.pngThe AI will automatically:
When in Doubt, Generate a Figure:
For detailed guidance, refer to the scientific-schematics and generate-image skill documentation.
IMRAD Format: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes:
For detailed guidance on IMRAD structure, refer to references/imrad_structure.md.
Alternative Structures: Support discipline-specific formats including:
Abstract Composition: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.
Introduction Development: Build compelling introductions that:
Methods Documentation: Ensure reproducibility through:
Results Presentation: Present findings with:
Discussion Construction: Synthesize findings by:
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to references/citation_styles.md.
Major Citation Styles:
Best Practices:
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to references/figures_tables.md.
When to Use Tables vs. Figures:
Design Principles:
Common Figure Types:
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to references/reporting_guidelines.md.
Key Guidelines:
Each guideline provides checklists ensuring all critical methodological elements are reported.
Apply fundamental scientific writing principles. For detailed guidance, refer to references/writing_principles.md.
Clarity:
Conciseness:
Accuracy:
Objectivity:
CRITICAL: Always write in full paragraphs, never submit bullet points in scientific papers.
Scientific papers must be written in complete, flowing prose. Use this two-stage approach for effective writing:
Stage 1: Create Section Outlines with Key Points
When starting a new section:
Example outline (Introduction section):
- Background: AI in drug discovery gaining traction
* Cite recent reviews (Smith 2023, Jones 2024)
* Traditional methods are slow and expensive
- Gap: Limited application to rare diseases
* Only 2 prior studies (Lee 2022, Chen 2023)
* Small datasets remain a challenge
- Our approach: Transfer learning from common diseases
* Novel architecture combining X and Y
- Study objectives: Validate on 3 rare disease datasetsStage 2: Convert Key Points to Full Paragraphs
Once the outline is complete, expand each bullet point into proper prose:
Example conversion to prose:
Artificial intelligence approaches have gained significant traction in drug discovery
pipelines over the past decade (Smith, 2023; Jones, 2024). While these computational
methods show promise for accelerating the identification of therapeutic candidates,
traditional experimental approaches remain slow and resource-intensive, often requiring
years of laboratory work and substantial financial investment. However, the application
of AI to rare diseases has been limited, with only two prior studies demonstrating
proof-of-concept results (Lee, 2022; Chen, 2023). The primary obstacle has been the
scarcity of training data for conditions affecting small patient populations.
To address this challenge, we developed a transfer learning approach that leverages
knowledge from well-characterized common diseases to predict therapeutic targets for
rare conditions. Our novel neural architecture combines convolutional layers for
molecular feature extraction with attention mechanisms for protein-ligand interaction
modeling. The objective of this study was to validate our approach across three
independent rare disease datasets, assessing both predictive accuracy and biological
interpretability of the results.Key Differences Between Outlines and Final Text:
| Outline (Planning Stage) | Final Manuscript |
|---|---|
| Bullet points and fragments | Complete sentences and paragraphs |
| Telegraphic notes | Full explanations with context |
| List of citations | Citations integrated into prose |
| Abbreviated ideas | Developed arguments with transitions |
| For your eyes only | For publication and peer review |
Common Mistakes to Avoid:
When Lists ARE Acceptable (Limited Cases):
Lists may appear in scientific papers only in specific contexts:
Abstract Format Rule:
Integration with Research Lookup:
The research-lookup skill is essential for Stage 1 (creating outlines):
This two-stage process ensures you:
For research reports, technical reports, white papers, and other professional documents that are NOT journal manuscripts, use the scientific_report.sty LaTeX style package for a polished, professional appearance.
When to Use Professional Report Formatting:
When NOT to Use (Use Venue-Specific Formatting Instead):
venue-templates skillvenue-templates skillThe scientific_report.sty Style Package Provides:
| Feature | Description |
|---|---|
| Typography | Helvetica font family for modern, professional appearance |
| Color Scheme | Professional blues, greens, and accent colors |
| Box Environments | Colored boxes for key findings, methods, recommendations, limitations |
| Tables | Alternating row colors, professional headers |
| Figures | Consistent caption formatting |
| Scientific Commands | Shortcuts for p-values, effect sizes, confidence intervals |
Box Environments for Content Organization:
% Key findings (blue) - for major discoveries
\begin{keyfindings}[Title]
Content with key findings and statistics.
\end{keyfindings}
% Methodology (green) - for methods highlights
\begin{methodology}[Study Design]
Description of methods and procedures.
\end{methodology}
% Recommendations (purple) - for action items
\begin{recommendations}[Clinical Implications]
\begin{enumerate}
\item Specific recommendation 1
\item Specific recommendation 2
\end{enumerate}
\end{recommendations}
% Limitations (orange) - for caveats and cautions
\begin{limitations}[Study Limitations]
Description of limitations and their implications.
\end{limitations}Professional Table Formatting:
\begin{table}[htbp]
\centering
\caption{Results Summary}
\begin{tabular}{@{}lccc@{}}
\toprule
\textbf{Variable} & \textbf{Treatment} & \textbf{Control} & \textbf{p} \\
\midrule
Outcome 1 & \meansd{42.5}{8.3} & \meansd{35.2}{7.9} & <.001\sigthree \\
\rowcolor{tablealt} Outcome 2 & \meansd{3.8}{1.2} & \meansd{3.1}{1.1} & .012\sigone \\
Outcome 3 & \meansd{18.2}{4.5} & \meansd{17.8}{4.2} & .58\signs \\
\bottomrule
\end{tabular}
{\small \siglegend}
\end{table}Scientific Notation Commands:
| Command | Output | Purpose |
|---|---|---|
\pvalue{0.023} | p = 0.023 | P-values |
\psig{< 0.001} | p = < 0.001 | Significant p-values (bold) |
\CI{0.45}{0.72} | 95% CI [0.45, 0.72] | Confidence intervals |
\effectsize{d}{0.75} | d = 0.75 | Effect sizes |
\samplesize{250} | n = 250 | Sample sizes |
\meansd{42.5}{8.3} | 42.5 ± 8.3 | Mean with SD |
\sigone, \sigtwo, \sigthree | *, **, *** | Significance stars |
Getting Started:
\documentclass[11pt,letterpaper]{report}
\usepackage{scientific_report}
\begin{document}
\makereporttitle
{Report Title}
{Subtitle}
{Author Name}
{Institution}
{Date}
% Your content with professional formatting
\end{document}Compilation: Use XeLaTeX or LuaLaTeX for proper Helvetica font rendering:
xelatex report.texFor complete documentation, refer to:
assets/scientific_report.sty: The style packageassets/scientific_report_template.tex: Complete template exampleassets/REPORT_FORMATTING_GUIDE.md: Quick reference guidereferences/professional_report_formatting.md: Comprehensive formatting guideAdapt manuscripts to journal requirements:
Adapt language, terminology, and conventions to match the specific scientific discipline. Each field has established vocabulary, preferred phrasings, and domain-specific conventions that signal expertise and ensure clarity for the target audience.
Identify Field-Specific Linguistic Conventions:
Biomedical and Clinical Sciences:
Molecular Biology and Genetics:
Chemistry and Pharmaceutical Sciences:
Ecology and Environmental Sciences:
Physics and Engineering:
Neuroscience:
Social and Behavioral Sciences:
General Principles:
Match Audience Expertise:
Define Technical Terms Strategically:
Maintain Consistency:
Avoid Field Mixing Errors:
Verify Terminology Usage:
Top Rejection Reasons:
Writing Quality Issues:
Stage 1: Planning
Stage 2: Drafting (Use two-stage writing process for each section)
Remember: Bullet points are for planning only—the final manuscript must be in complete paragraphs.
Stage 3: Revision
Stage 4: Final Preparation
This skill works effectively with:
Choose the right formatting approach:
| Document Type | Formatting Approach |
|---|---|
| Journal manuscripts | Use venue-templates skill |
| Conference papers | Use venue-templates skill |
| Research reports | Use scientific_report.sty (this skill) |
| White papers | Use scientific_report.sty (this skill) |
| Technical reports | Use scientific_report.sty (this skill) |
| Grant reports | Use scientific_report.sty (this skill) |
Before writing for a specific venue, consult the venue-templates skill for writing style guides:
Different venues have dramatically different writing expectations:
The venue-templates skill provides:
venue_writing_styles.md: Master style comparisonnature_science_style.md, cell_press_style.md, medical_journal_styles.md, ml_conference_style.md, cs_conference_style.mdreviewer_expectations.md: What reviewers look for at each venueassets/examples/Workflow: First use this skill for general scientific writing principles (IMRAD, clarity, citations), then consult venue-templates for venue-specific style adaptation.
This skill includes comprehensive reference files covering specific aspects of scientific writing:
references/imrad_structure.md: Detailed guide to IMRAD format and section-specific contentreferences/citation_styles.md: Complete citation style guides (APA, AMA, Vancouver, Chicago, IEEE)references/figures_tables.md: Best practices for creating effective data visualizationsreferences/reporting_guidelines.md: Study-specific reporting standards and checklistsreferences/writing_principles.md: Core principles of effective scientific communicationreferences/professional_report_formatting.md: Guide to professional report styling with scientific_report.styThis skill includes LaTeX style packages and templates for professional report formatting:
assets/scientific_report.sty: Professional LaTeX style package with Helvetica fonts, colored boxes, and attractive tablesassets/scientific_report_template.tex: Complete report template demonstrating all style featuresassets/REPORT_FORMATTING_GUIDE.md: Quick reference guide for the style packageKey Features of scientific_report.sty:
keyfindings, methodology, resultsbox, recommendations, limitations, criticalnotice, definition, executivesummary, hypothesisFor venue-specific writing styles (tone, voice, abstract format, reviewer expectations), see the venue-templates skill which provides comprehensive style guides for Nature/Science, Cell Press, medical journals, ML conferences, and CS conferences.
Load these references as needed when working on specific aspects of scientific writing.
© neflibata-feng, MIT. 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 9 other files (references, assets) in agent/skills/CorePipeline/scientific-writing of neflibata-feng/MyArxiv-Agent.
Open the folder on GitHubat commit 46bea62
We found 33 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 18 other GitHub owners. This page covers the copy in neflibata-feng/MyArxiv-Agent, which our catalogue first saw on October 7, 2026.
Scientific Writing 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 |
|---|---|---|---|---|---|---|
| Scientific Writing this skillneflibata-feng/MyArxiv-Agent | 126 | 18 repos | ~8.4k | Automated safety check: Notes | MIT | |
| Research ClawAlphaLab-USTC/ResearchClaw | 134 | — | ~578 | Automated safety check: Pass | MIT | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Hugging Face Paper Publisherhuggingface/skills | 11k | 4 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Paper Expert Generatorguhaohao0991/PaperClaw | 250 | — | ~2k | Automated safety check: Pass | None | |
| Paper OrchestraAr9av/PaperOrchestra | 679 | 1 repos | ~3.5k | Automated safety check: Pass | Custom licence |
AlphaLab-USTC/ResearchClaw
Complete AI research assistant with 6 core capabilities: paper discovery, deep reading notes, reading list management, research taste learning, idea generation, and paper writing.
K-Dense-AI/claude-scientific-writer
Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
huggingface/skills
Indexes research papers on the Hugging Face Hub from arXiv, links them to models and datasets, claims authorship and generates markdown research articles from templates.
guhaohao0991/PaperClaw
Generate a specialized domain-expert research agent modeled on PaperClaw architecture.
Ar9av/PaperOrchestra
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines…
damionrashford/RivalSearchMCP
Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
neflibata-feng/MyArxiv-Agent
Query and analyze scholarly literature using the OpenAlex database.
neflibata-feng/MyArxiv-Agent
Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.
neflibata-feng/MyArxiv-Agent
Comprehensive markdown and Mermaid diagram writing skill that establishes text-based diagrams as the DEFAULT documentation standard.
neflibata-feng/MyArxiv-Agent
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches).
Categories
Core skill for the deep research and writing tool. An agent skill from neflibata-feng/MyArxiv-Agent. Scientific Writing is an agent skill from neflibata-feng/MyArxiv-Agent. Core skill for the deep research and writing tool.
Scientific Writing fits situations like: tasks that involve Scientific writing; tasks that involve Academic paper search; tasks that involve ORMs and data access.
Run `npx skills add neflibata-feng/MyArxiv-Agent --skill scientific-writing -a claude-code`. Or copy the skill folder (agent/skills/CorePipeline/scientific-writing in neflibata-feng/MyArxiv-Agent) into .claude/skills/scientific-writing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add neflibata-feng/MyArxiv-Agent --skill scientific-writing -a codex`. Or copy the skill folder (agent/skills/CorePipeline/scientific-writing in neflibata-feng/MyArxiv-Agent) into .agents/skills/scientific-writing 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 neflibata-feng/MyArxiv-Agent --skill scientific-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-writing, .gemini/skills/scientific-writing, .github/skills/scientific-writing and .opencode/skills/scientific-writing in your project.
Going by SKILL.md and its folder, Scientific Writing needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash.
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.
Scientific Writing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 8.4k tokens (SKILL.md is roughly 34k 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 38k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Scientific Writing: Research Claw (AlphaLab-USTC/ResearchClaw, 134 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Hugging Face Paper Publisher (huggingface/skills, 11k stars) and Paper Expert Generator (guhaohao0991/PaperClaw, 250 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
neflibata-feng (a GitHub user) maintains it in neflibata-feng/MyArxiv-Agent, which has 126 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 11, 2026.
Source: neflibata-feng/MyArxiv-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.