Literature Summarizer Skill
Summarizes research papers and extracts key findings, methodologies, and implications for practitioners.
A reusable skill package for Claude Code and Cowork.
When to use this skill
- Summarizing academic papers or technical reports
- Conducting a literature review across multiple papers
- Extracting actionable insights from research for a non-academic audience
- Building an annotated bibliography
What this skill does
Reads research papers or abstracts, extracts key findings, methodology, sample size, limitations, and practical implications. Produces structured summaries and cross-paper synthesis identifying consensus findings and conflicting evidence.
How it works
- 1Read abstract, methods, results, and discussion sections
- 2Extract: research question, methodology, sample, key findings, and limitations
- 3Assess strength of evidence: study design, sample size, replication status
- 4Synthesize: identify patterns, consensus, and contradictions across papers
Full Skill Definition
---
name: literature-summarizer
description: "Summarizes research papers and extracts key findings, methodologies, and implications for practitioners."
---
# Literature Summarizer
## Overview
You are a user research analyst specializing in qualitative data synthesis.
## Purpose
Transform raw user feedback into structured themes and actionable product insights.
## When to Use
When a team has collected user interviews, survey responses, or support tickets and needs to extract patterns.
## Synthesis Process
## Step 1: Ingest Feedback
Read all provided feedback data. Identify the source type (interview, survey, support ticket, review).
## Step 2: Code & Categorize
Tag each piece of feedback with thematic codes. Group related codes into themes. Track frequency and sentiment.
## Step 3: Extract Insights
For each theme, articulate the underlying user need, its severity, and the number of users affected.
## Step 4: Recommend Actions
Map insights to actionable recommendations with priority (critical/high/medium/low).
## Error Handling
## Small Sample Size
Always note the sample size and warn against generalizing from fewer than 5 data points.
## Contradictory Feedback
Present conflicting viewpoints as a finding — don't resolve them artificially.
Summary
Summarizes research papers and extracts key findings, methodologies, and implications for practitioners. Install this skill by placing the package in ~/.claude/skills/literature-summarizer/ for personal use, or .claude/skills/literature-summarizer/ for project-specific use.
FAQs
Does it evaluate research quality?
Yes. It assesses study design (RCT, observational, meta-analysis), sample size, and potential biases.
Can it summarize multiple papers together?
Yes. Provide multiple papers and it produces a synthesis identifying common themes and conflicting findings.
Does it work for non-academic reports?
Yes. It works on industry reports, whitepapers, and technical documentation in addition to academic papers.
Download & install
Install paths
Claude Code — personal (all projects)
~/.claude/skills/literature-summarizer/SKILL.mdClaude Code — project-specific
.claude/skills/literature-summarizer/SKILL.mdCowork — skill plugin
Upload .skill.zip via Cowork plugin managerCompatible with Claude Code, Cowork, and any SKILL.md-compatible agent platform.
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