Structured literature review using a parallel fleet of Librarian agents.

Custom licenceAuto-check passedResearch & Science

Install Lit Review

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lit-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills lit-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/15-Felpix-Studios-social-science-research/skills/lit-review .claude/skills/lit-review && rm -rf skills-src

Use ~/.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/

Facts

Skill name
lit-review
GitHub stars
4.6k
Token cost
~2.1k tokens
SKILL.md length
501 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Structured literature review using a parallel fleet of Librarian agents.

  • Works in 6 steps: Orient and Gather Context → Assign Librarians → Consolidate and Deduplicate → …
  • The user wants to survey existing research on a topic — not to find datasets
  • SKILL.md covers Step 1: Orient and Gather…, Step 2: Assign Librarians, Step 3: Consolidate and… and Step 4: Organize Thematically, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lit Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structured literature review using a parallel fleet of Librarian agents. Searches top journals, working paper repositories (NBER, SSRN, IZA), and traces citation chains from key papers. Make sure to use this skill whenever the user wants to survey existing research on a topic — not to find datasets or write a paper. Triggers include: "review the literature", "find related papers", "what's been done on X", "search for papers on", "do a lit review", "find papers about", "what papers should I cite", "who has written…

Its SKILL.md is about 2.1k 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 Research & Science, covering Literature review, Citation management and Academic paper search. 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…

When your agent uses it

  • The user wants to survey existing research on a topic — not to find datasets
  • Include: review the literature
  • Find related papers
  • Whats been done on X

Example prompts

  • “review the literature”
  • “find related papers”
  • “s been done on X”
  • “/lit-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, WebSearch, WebFetch, Task, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Orient and Gather Context
  2. Assign Librarians
  3. Consolidate and Deduplicate
  4. Organize Thematically
  5. Identify Gaps
  6. Save Report

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Write
    • WebSearch
    • WebFetch
    • Task
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lit Review loads about 2.1k tokens when it runs. Until then it costs about 166 tokens; SKILL.md has 501 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~166
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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.

Safety

Auto-check passed

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.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 501 words (~2,105 tokens).

“Conduct a systematic literature review using a parallel fleet of Librarian agents, each searching a different angle. Citation chains from anchor papers are the highest-yield search vector and always run when anchor papers are available.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
lit-review
allowed-tools
Read, Grep, Glob, Write, WebSearch, WebFetch, Task, AskUserQuestion
argument-hint
[topic, research question, or anchor paper title]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/15-Felpix-Studios-social-science-research/skills/lit-review of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

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.

Lit Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lit Review this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2.1kAutomated safety check: PassCustom licence
Autonomous Researchfedericodeponte/opendraft507—~8.2kAutomated safety check: PassApache-2.0
Social Science Paper Writingfakerqwq/social-science-paper-writing-skill382—~7kAutomated safety check: PassNone
Paper NavigatorEvoScientist/EvoSkills478—~6.3kAutomated safety check: NotesApache-2.0
Paper NavigatorAI4Scientist/nano-scientist128—~7.7kAutomated safety check: NotesNone
Research Paper WritingAlexAI-MCP/hermes-CCC135—~1.2kAutomated safety check: NotesMIT

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Questions about Lit Review

What does Lit Review do?

Structured literature review using a parallel fleet of Librarian agents. Lit Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structured literature review using a parallel fleet of Librarian agents.

When should I use Lit Review?

Lit Review fits situations like: the user wants to survey existing research on a topic — not to find datasets; include: review the literature; find related papers; whats been done on X.

How do I install Lit Review in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lit-review -a claude-code`. Or copy the skill folder (skills/15-Felpix-Studios-social-science-research/skills/lit-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/lit-review in your project. Claude Code loads it when a task matches its description.

How do I install Lit Review in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lit-review -a codex`. Or copy the skill folder (skills/15-Felpix-Studios-social-science-research/skills/lit-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/lit-review in your project. Codex loads it when a task matches its description.

Can I use Lit Review in Cursor, Gemini CLI or GitHub Copilot?

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 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/lit-review, .gemini/skills/lit-review, .github/skills/lit-review and .opencode/skills/lit-review in your project.

What does Lit Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Lit Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, WebSearch, WebFetch, Task, AskUserQuestion.

Does Lit Review access the network?

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.

Is Lit Review safe to install?

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.

What licence does Lit Review use?

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.

How many tokens does Lit Review use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lit Review?

Skills that share tags, products or a category with Lit Review: Autonomous Research (federicodeponte/opendraft, 507 stars), Social Science Paper Writing (fakerqwq/social-science-paper-writing-skill, 382 stars), Paper Navigator (EvoScientist/EvoSkills, 478 stars) and Paper Navigator (AI4Scientist/nano-scientist, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lit Review?

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.