Agent skill · Documentation

research-summarizer

Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-summarizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Alireza Rezvani
Path: skills/analysis/research-summarizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Research Summarizer > Read less. Understand more. Cite correctly. Structured research summarization workflow that turns dense source material into actionable briefs. Built for product managers, analysts, founders, and anyone who reads more than they should have to. Not a generic "summarize this" — a repeatable framework that extracts what matters, compares across sources, and formats citations properly. --- ## Slash Commands | Command | What it does | |---------|-------------| | `/research:summarize` | Summarize a single source into a structured brief | | `/research:compare` | Compare 2-5 sources side-by-side with synthesis | | `/research:cite` | Extract and format all citations from a document | --- ## When This Skill Activates Recognize these patterns from the user: - "Summarize this paper / article / report" - "What are the key findings in this document?" - "Compare these sources" - "Extract citations from this PDF" - "Give me a research brief on [topic]" - "Break down this whitepaper" - Any request involving: summarize, research brief, literature review, citation, source comparison If the user has a document and wants structured understanding → this skill applies. --- ## Work

What's inside
Steps it walks through
  1. Slash Commands
  2. When This Skill Activates
  3. Workflow
  4. /research:summarize — Single Source Summary
  5. /research:compare — Multi-Source Comparison
  6. /research:cite — Citation Extraction
  7. Tooling
  8. scripts/extractcitations.py
  9. scripts/formatsummary.py
  10. Quality Assessment Framework
  11. Summary Templates
  12. Proactive Triggers
  13. Installation
  14. One-liner (any tool)
Ships with 1 file
  • metadata.json
Commands it runs
Extract citations from a file (APA format, default)
python3 scripts/extract_citations.py document.txt
Specify format
python3 scripts/extract_citations.py document.txt --format ieee
JSON output
python3 scripts/extract_citations.py document.txt --format apa --output json
From stdin
cat paper.txt | python3 scripts/extract_citations.py --stdin
Generate structured summary template
python3 scripts/format_summary.py --template academic
More from claude-skill-registry
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About this skill
What does the research-summarizer skill do?

Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-summarizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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