Agent skill · research science · alirezarezvani

research-summarizer

Use when summarizing a research paper, article or report, comparing several sources or extracting citations into a brief. Formats with format_summary.py and pulls citations with extract_citations.py.

Why this skill is useful

Provides a structured framework for summarizing and comparing research documents that the AI wouldn't reliably generate on its own.

What it needs

About 6k tokens when loaded. Last updated 2026-08-05. 23,939 stars on the source repository.

What this skill does

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. --- Scope — Distinct From the research/ Domain This skill summarizes documents the user already has (papers, articles, reports pasted or attached). It performs no web search and needs no MCP server. It is NOT: research/litreview — academic literature discovery and review-guide generation (finds papers via Consensus/academic APIs) research/dossier — entity due-diligence built from live web research research/notebooklm — drives Google's NotebookLM product UI research/research — the router for open-ended "research [topic]" requests that require searching If the user asks you to find sources rather than digest supplied ones, route to the research/ domain instead. --- 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. --- Workflow Workflow 1 — Single Source Summary 1. Identify source type Academic paper → use IMRAD structure (Introduction, Methods, Results, Analysis, Discussion) Web article → use claim-evidence-implication structure Technical report → use executive summary structure Documentation → use reference summary structure 2. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills alirezarezvani/research-summarizer--419b24

View the source on GitHub

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