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.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/alirezarezvani/research-summarizerWhat This Skill Does
The Research Summarizer is a specialized agent skill designed to replace generic, vague summaries with a structured, professional-grade research framework. It transforms dense documents—such as academic papers, whitepapers, technical documentation, and long-form web articles—into actionable intelligence. By utilizing specific structures like IMRAD for academic papers or claim-evidence-implication for articles, it ensures that every summary maintains high analytical value, focuses on methodology, and highlights potential biases or limitations.
Installation
To integrate the Research Summarizer into your environment, use the OpenClaw CLI:
clawhub install openclaw/skills/skills/alirezarezvani/research-summarizer
Use Cases
- Product Management: Quickly parsing competitive whitepapers or technical documentation to inform product roadmaps.
- Academic Research: Extracting key findings and methodology from long PDF files to accelerate literature reviews.
- Data Analysis: Synthesizing multiple disparate source documents into a side-by-side comparison matrix for decision-making.
- Content Creation: Extracting and formatting accurate citations from complex source material to ensure professional integrity.
Example Prompts
- "/research:summarize this PDF paper on distributed systems and focus on the architectural trade-offs."
- "/research:compare these three articles on remote work trends and highlight the contradicting findings."
- "/research:cite the key statistics from this whitepaper and format them for my upcoming presentation."
Tips & Limitations
- Quality Control: The skill includes an assessment phase for source credibility and bias, ensuring you don't just see the 'what' but understand the 'why' and the 'how reliable'.
- Constraint Management: The comparison feature is optimized for 2-5 sources to prevent cognitive overload and ensure high-quality synthesis.
- Context Handling: While it is excellent at processing text-based documents, it does not perform live web-scraping beyond what your agent's current browser permissions allow. Always ensure your document file is properly attached to the session before initiating a command.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-alirezarezvani-research-summarizer": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read
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