Neuroarxiv
UditAkhourii/neuroarxiv
Grounds a coding agent's architecture decisions in real arXiv prior art before it builds something new.
Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Communications-domain literature review and related-work search with database-aware source control.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-review --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .claude/skills/comm-lit-review && 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 "comm-lit-review" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review into .claude/skills/comm-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comm-lit-review", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-reviewType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .agents/skills/comm-lit-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "comm-lit-review" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review into .agents/skills/comm-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comm-lit-review", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .cursor/skills/comm-lit-review && 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 "comm-lit-review" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review into .cursor/skills/comm-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comm-lit-review", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .gemini/skills/comm-lit-review && 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 "comm-lit-review" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review into .gemini/skills/comm-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comm-lit-review", 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 brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-reviewInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .github/skills/comm-lit-review && 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 "comm-lit-review" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review into .github/skills/comm-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comm-lit-review", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .opencode/skills/comm-lit-review && 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 "comm-lit-review" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review into .opencode/skills/comm-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comm-lit-review", 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.
comm-lit-reviewCommunications-domain literature review and related-work search with database-aware source control.
Comm Lit Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Communications-domain literature review and related-work search with database-aware source control. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, prior art, a survey, related work, or a landscape summary. Prioritize IEEE Xplore and ScienceDirect, prefer formal publications over…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/domain-taxonomy.md`, `references/output-template.md` and `references/source-policy.md`).
It sits in Research & Science, covering Literature review, Academic paper search and Intellectual property. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9fa87d8. 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.
No scripts in the folder and no shell commands in SKILL.md.
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.
Comm Lit Review loads about 1.5k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 700 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); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 700 words (~1,484 tokens).
“Run communications-focused paper search with tighter source policy than a generic literature review. Default to formal publications, prioritize IEEE Xplore and ScienceDirect, then ACM Digital Library, and output a review that is structured for research use rather than casual browsing.”
SKILL.md and 4 other files (references) in skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Comm Lit Review 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 |
|---|---|---|---|---|---|---|
| Comm Lit Review this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| NeuroarxivUditAkhourii/neuroarxiv | 433 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Systematic Literature Review Builderbytedance/deer-flow | 84k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT |
UditAkhourii/neuroarxiv
Grounds a coding agent's architecture decisions in real arXiv prior art before it builds something new.
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
bytedance/deer-flow
Searches arXiv across many papers on one topic, extracts each paper's methodology and findings in parallel, and synthesizes a cited literature review.
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Categories
Communications-domain literature review and related-work search with database-aware source control. Comm Lit Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Communications-domain literature review and related-work search with database-aware source control.
Comm Lit Review fits situations like: the task is about communications; transport protocols; congestion control; rate adaptation.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a claude-code`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/comm-lit-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a codex`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/comm-lit-review 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comm-lit-review, .gemini/skills/comm-lit-review, .github/skills/comm-lit-review and .opencode/skills/comm-lit-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Comm Lit Review is instructions for the agent only.
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. Review the folder before installing.
Comm Lit Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
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 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Comm Lit Review: Neuroarxiv (UditAkhourii/neuroarxiv, 433 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars) and Systematic Literature Review Builder (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.