An automated recommendation engine that matches academic abstracts with high-impact journals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install journal-matchmaker
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 journal-matchmaker 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 Journal Matchmaker?
The Journal Matchmaker is a technical tool designed for researchers and academics to simplify the complex process of journal selection. By analyzing the linguistic and thematic features of an abstract, it provides objective, data-backed recommendations for submission. This tool is a valuable addition to the Openclaw Skills library, enabling users to optimize their publication strategy through automated scope matching and impact factor analysis.
Built with a focus on precision, the skill bridges the gap between raw research and the ideal publication venue. It eliminates the guesswork involved in identifying relevant journals, ensuring that manuscripts are directed toward editors and audiences where they will have the most significant impact.
Journal Matchmaker Use Cases
- Identifying the most relevant journals for a specific research abstract.
- Filtering publication venues based on impact factor thresholds.
- Aligning manuscript content with official journal scopes to improve acceptance rates.
- Discovering domain-specific journals in emerging interdisciplinary fields.
How Journal Matchmaker Works
- Text Extraction: The abstract is processed to identify key terms and methodology markers.
- Domain Identification: The tool classifies the research into specific fields using a predefined taxonomy.
- Similarity Matching: Using TF-IDF and cosine similarity, the tool compares the abstract against a database of journal scopes.
- Parameter Application: User-specified filters like impact factor range and result count are applied.
- Result Generation: A ranked list of recommended journals is produced with relevance scores.
Journal Matchmaker Setup
To begin using this entry from the Openclaw Skills repository, install the required dependencies using pip:
pip install -r requirements.txt
Execute the recommendation script by passing your abstract as an argument:
python scripts/main.py --abstract "Your paper abstract here" --count 5
Journal Matchmaker Data Schema & Taxonomy
| File | Description |
|---|---|
| journals.json | Primary database containing journal metadata, impact factors, and scope descriptions. |
| fields.json | Taxonomy of research fields used for classification. |
| scoring_weights.json | Configuration file for adjusting the ranking algorithm's sensitivity. |
Journal Matchmaker Advanced Features
- Configurable scoring weights to prioritize specific metrics like impact factor over scope similarity.
- Support for multiple output formats (JSON, Markdown, Table) for seamless toolchain integration.
- Local execution ensuring research data and abstracts remain private.
- Automated field detection which streamlines the user experience by reducing manual parameters.
SKILL.md
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