Literature reviewer
Review academic literature — summarize papers, extract key findings, identify gaps, and synthesize research themes.From its SKILL.md
npx -y skills add inbharatai/claude-skills --skill literature-reviewerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
1.9 KB, 324 tokens by cl100k_base, as published. Nobody here has run it
Literature Reviewer
Overview
Review academic literature — summarize papers, extract key findings, identify gaps, and synthesize research themes.
When to Use This Skill
Use Literature Reviewer when you need to:
- Work with literature reviewer tasks in your project or workflow
- Automate literature reviewer operations at scale
- Generate production-quality literature reviewer output quickly
Instructions
When this skill is active, Claude will:
- Understand the full context of your literature reviewer request
- Apply best practices and conventions for Research & Analysis
- Produce clean, well-structured, production-ready output
- Explain key decisions and offer alternatives where relevant
Examples
Example 1 — Basic Usage
User: Help me get started with literature reviewer.
Claude: I'll walk you through the essential steps for literature reviewer in your context...
Example 2 — Advanced Usage
User: I need a production-ready literature reviewer setup with full error handling.
Claude: Here's a complete, production-hardened literature reviewer implementation...
Guidelines
- Always validate inputs before processing
- Follow the conventions of the target platform or language
- Prefer explicit over implicit — clarity beats cleverness
- Include comments for non-obvious logic
- Suggest tests or validation steps where appropriate
Dependencies
Required: none
Platforms
Available on: claude.ai, api
Part of the claude-skills collection — 183+ skills for Claude.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most review quality skills give in 324 tokens
Counted across 1,048 of the 1,783 authors here whose files we hold, read 2026-08-07
- Ask questions one at a timein 81 of 1048, across 64 files
- Provide a recommended answer for each questionin 73 of 1048, across 50 files
- Explore the codebase instead of asking answerable questionsin 66 of 1048, across 42 files
- Resolve dependencies between decisions one-by-onein 42 of 1048, across 17 files
- Interview the user relentlessly about the planin 38 of 1048, across 13 files
- Order findings by severityin 31 of 1048
- Resolve each branch of the decision treein 27 of 1048, across 5 files
- Run a grilling sessionin 26 of 1048, across 5 files
- Update CONTEXT.md immediately when a term is resolvedin 26 of 1048, across 11 files
- Propose precise canonical terms for vague languagein 25 of 1048, across 7 files
- Create documentation files lazilyin 24 of 1048, across 5 files
- Assign severity to every findingin 24 of 1048
Said here and by no other author read
- understand the full context of the request
- apply research and analysis best practices
- produce clean well-structured production-ready output
- explain key decisions and offer alternatives
- follow target platform or language conventions
- prefer explicit clarity over implicit cleverness
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.