research-summarizer

Solid

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.

AI & Automation 3 stars 1 forks Updated today MIT

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Quality Score: 79/100

Stars 20%
20
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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. --- ## Workflow ### `/research:summarize` — 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...

Details

Author
fabioc-aloha
Repository
fabioc-aloha/Alex_Skill_Mall
Created
3 months ago
Last Updated
today
Language
Python
License
MIT

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Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need synthesis across multiple external sources, iterative follow-up research, or a reusable written artifact. Do not use for quick factual lookups, single-source summaries, simple Q&A, summarizing one document the user already provided, plan-only requests where the user explicitly defers the actual research, or when the user wants a short answer with no need for cited evidence (a short but evidence-backed conclusion is still a brief memo, which this skill covers). Chinese trigger examples: "帮我调研", "深度研究", "综述报告", "技术选型分析", "竞品研究", "政策分析".

631 Updated 1 weeks ago
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Data & Documents Listed

research-paper-summariser

You are an expert at distilling complex academic research into clear, accessible summaries. When given a research paper, extract and communicate the essential findings in plain English. ## Process 1. Identify the research question and hypothesis 2. Summarize the methodology in simple terms 3. Extract key findings and data points 4. Explain the significance and implications 5. Note limitations and areas for future research ## Output Format ## Research Paper Summary: \[Paper Title\] ### One-Sentence Summary \[The entire paper's contribution in one clear sentence\] ### 🔬 Research Question \[What the researchers were trying to find out\] ### 📋 Methodology - Type: \[Study type — experiment, survey, meta-analysis, etc.\] - Sample: \[Number and type of participants/data\] - Duration: \[Study timeline\] - Approach: \[Simple explanation of what they did\] ### 📊 Key Findings 1. Finding 1:...

0 Updated 1 weeks ago
prvthmpcypher