A professional-grade research agent that converts complex documents into structured, cited, and comparative analytical briefs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-summarizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install research-summarizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Research Summarizer?
The Research Summarizer is a specialized Openclaw Skills plugin designed to bridge the gap between dense information consumption and actionable understanding. Unlike generic AI summarizers, this tool employs a rigorous framework to analyze academic papers, web articles, and technical reports using industry-standard structures like IMRAD. It ensures that every insight is backed by evidence and properly attributed.
Built for founders, analysts, and researchers, this skill automates the tedious parts of desk research. It doesn't just shorten text; it evaluates source credibility, identifies methodological gaps, and highlights potential biases, providing a high-fidelity intelligence layer for any research-heavy workflow.
Research Summarizer Use Cases
- Synthesizing complex academic papers into structured IMRAD briefs.
- Performing side-by-side comparative analysis of multiple industry reports.
- Extracting and formatting citations in APA, IEEE, or Chicago styles for bibliographies.
- Creating executive summaries of technical documentation for non-technical stakeholders.
- Auditing source credibility and identifying contradictions across different data sources.
How Research Summarizer Works
- Source Identification: The skill detects the document type (academic, web, or technical) to select the optimal structural template.
- Structured Extraction: It parses the content to identify the key thesis, methodology, and core findings while tagging evidence.
- Quality Assessment: The agent runs a four-dimension audit covering credibility, evidence strength, recency, and objectivity.
- Synthesis & Comparison: For multi-source requests, it builds a comparison matrix to find consensus and contested points.
- Formatted Output: The final brief is generated in Markdown with properly formatted citations and actionable takeaways.
Research Summarizer Setup
Install the research-summarizer easily via the following methods:
Standard Installation
git clone https://github.com/alirezarezvani/claude-skills.gitncp -r claude-skills/product-team/research-summarizer ~/.claude/skills/
Openclaw Skills Hub
clawhub install cs-research-summarizer
Multi-tool Conversion
./scripts/convert.sh --skill research-summarizer --tool codex|gemini|cursor|windsurf|openclaw
Research Summarizer Data Schema & Taxonomy
The skill organizes research data through structured Markdown templates and JSON exports for tool interoperability:
| Data Type | Organization Method |
|---|---|
| Briefs | Structured headers (Thesis, Findings, Methodology, Limitations) |
| Citations | Classified by source type (Primary, Secondary, Tertiary) |
| Comparisons | Side-by-side Markdown matrices with synthesis summaries |
| Metadata | Includes DOI, Author, Publication Date, and Credibility Ratings |
Research Summarizer Advanced Features
- Automated Citation Extraction: Uses regex-based detection for DOIs and URLs to generate bibliographies.
- Proactive Bias Detection: Automatically flags sources with potential conflicts of interest or lack of peer review.
- Custom Templates: Support for specific research styles including IMRAD, claim-evidence-implication, and executive formats.
- Multi-Agent Integration: Feeds structured data directly into content-production or product-analytics workflows.
- Obsolescence Warning: Triggers alerts for sources in fast-moving fields that are more than 5 years old.
SKILL.md
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