An advanced academic reading and analysis skill designed for researchers to extract deep theoretical frameworks, complete mathematical derivations, and structured literature notes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-paper-reading
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-paper-reading 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 Paper Reading?
The Research Paper Reading skill is a systematic framework designed for academic researchers, developers, and scientists who need to read, analyze, and synthesize highly technical papers from sources like Zotero or local PDF files. Instead of providing superficial summaries, this framework drives deep into the core equations, basic assumptions, and empirical methodologies of papers, producing complete formula derivations and high-quality essay-style notes.
By leveraging this tool within Openclaw Skills, you can automate literature indexing, extract core innovation points, and benchmark new research against your current projects. It bridges the gap between raw scientific papers and actionable, well-structured academic knowledge, significantly accelerating the research and development lifecycle.
Research Paper Reading Use Cases
- Zotero Library Automation: Quickly searching, organizing, and retrieving detailed metadata from your Zotero collections.
- Deep Mathematical Analysis: Regenerating step-by-step formula derivations and parameter physical meanings from complex theoretical papers.
- Literature Review Synthesis: Compiling rigorous, structured notes that contrast new findings with prior academic work.
- Innovation Benchmarking: Methodically evaluating the breakthrough potential of a paper on a 3-star rating scale.
How Research Paper Reading Works
- Paper Retrieval: The skill connects to your local Zotero library API or processes a standalone PDF to retrieve paper metadata and raw text.
- Abstract and Objective Analysis: It identifies the research background, targets, gaps, and core scientific questions.
- Methodology & Formula Extraction: It maps out the theoretical framework, identifying basic assumptions, starting equations, transformations, and coordinate/parameter definitions.
- Result Benchmarking: The tool compares findings and quantitative data against prior state-of-the-art implementations.
- Innovation Rating: It assesses the paper's novelty across methodological, theoretical, and practical applications, assigning a structured innovation rating.
- Note Generation: It exports comprehensive, essay-style markdown notes formatted with LaTeX mathematical equations.
Research Paper Reading Setup
To integrate this framework with your local environment and research tools, configure the API endpoints as shown below.
Zotero Integration Setup
Ensure your local Zotero API is active, and retrieve your credentials. Use the following CLI endpoints to verify connectivity:
# Search your library for specific research keywords
curl "http://127.0.0.1:23119/api/users/YOUR_ID/items?q=KEYWORD"
# Retrieve all your collections
curl "http://127.0.0.1:23119/api/users/YOUR_ID/collections"
# Get papers within a specific collection
curl "http://127.0.0.1:23119/api/users/YOUR_ID/collections/COLLECTION_KEY/items"
# Fetch detailed metadata for an item
curl "http://127.0.0.1:23119/api/users/YOUR_ID/items/ITEM_KEY"
Add these endpoint paths into your environment configuration under Openclaw Skills to enable automatic Zotero sync.
Research Paper Reading Data Schema & Taxonomy
This skill generates a highly standardized academic note structure to ensure consistency across all your researched literature. Below is the taxonomy mapping for generated notes:
| Section Name | Description | Key Metadata Stored |
|---|---|---|
| Metadata Header | General identification | Title, Authors, Institution, DOI/arXiv ID, Publication Date |
| Research Background | Narrative context | 300-500 words on domain context, current state, and the core problem |
| Theory & Derivations | Mathematical foundation | Starting principles, step-by-step transformation steps, LaTeX equations |
| Methodology | Empirical design | Data sources, sample size, algorithm definitions, critical parameters |
| Quantitative Results | Performance metrics | Metrics, numerical values, and statistical significance levels |
| Innovation Summary | Qualitative analysis | Methodological, theoretical, and practical innovations graded (1-3 stars) |
| My Research Link | Personal relevance | Synergy points, potential adaptations, and required background study |
Research Paper Reading Advanced Features
- Zotero Active Sync: Deep API integration for bidirectional reading workflows directly from your favorite citation manager.
- Mathematical Re-Derivation: Advanced mathematical reasoning models reconstruct missing intermediate steps in equations to verify mathematical truth.
- Automated Innovation Grading: Qualitative scoring system to quickly categorize breakthrough papers from incremental progress.
- Multivariate Benchmark Analysis: Standardized tables to contrast performance metrics of various models side-by-side.
- LaTeX Native Support: Native rendering of complicated multi-line math transformations using standard Markdown LaTeX equations within Openclaw Skills.
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