An intelligent compression tool designed to reduce academic abstract word counts while maintaining scientific rigor and structural integrity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install abstract-trimmer
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 abstract-trimmer 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 Abstract Trimmer?
Abstract Trimmer is a precision editing utility tailored for researchers and academics who need to meet strict word count requirements for journal submissions, conference applications, and grant proposals. By leveraging Openclaw Skills, this tool provides a systematic way to shorten text without losing the essential findings or technical accuracy of the original work.
Unlike generic summarizers, this skill is specifically engineered to respect the Background-Methods-Results-Conclusion (BMRC) flow. It ensures that critical quantitative data, such as P-values and confidence intervals, remain untouched while identifying redundant filler words and phrases that can be safely condensed. It is an essential asset for any academic workflow involving Openclaw Skills.
Abstract Trimmer Use Cases
- Preparing manuscripts for high-impact journals with strict 250-word limits.
- Condensing detailed research findings for conference poster applications.
- Batch processing multiple abstracts for a department-wide research repository.
- Validating word count and reduction potential before manual editing.
How Abstract Trimmer Works
- The user provides an input abstract via a text file or direct command-line string.
- The tool analyzes the current word count and compares it against the user-defined target.
- Based on the selected strategy (conservative, balanced, or aggressive), the skill identifies candidates for removal or compression.
- It executes the trimming logic while specifically protecting numbers, symbols, and key scientific terminology.
- The tool generates a report featuring the trimmed text alongside reduction statistics like percentage and final word count.
Abstract Trimmer Setup
To begin using this skill within your environment, ensure you have Python 3.7+ installed. No external libraries are required, making it a lightweight addition to your Openclaw Skills library.
# Clone the repository or navigate to the script directory
cd abstract-trimmer
# Check help and verify installation
python scripts/main.py --help
Abstract Trimmer Data Schema & Taxonomy
The skill produces structured data that can be consumed by other tools or agents. You can choose between a clean text output or a detailed JSON object.
| Field | Description |
|---|---|
trimmed_abstract |
The final compressed version of the text. |
original_words |
Total word count of the input text. |
final_words |
Total word count after compression. |
reduction_percent |
The percentage of the original text that was removed. |
Output Example
{
"trimmed_abstract": "Example compressed text...",
"original_words": 320,
"final_words": 248,
"reduction_percent": 22.5
}
Abstract Trimmer Advanced Features
- Multi-Strategy Logic: Choose between Conservative (filler removal), Balanced (phrase condensation), or Aggressive (secondary detail removal) modes.
- Batch Processing: Easily integrate with shell scripts to process entire directories of abstracts at once.
- Quantitative Safety Guard: Built-in protections to prevent the accidental deletion of statistical significance data.
- Format Flexibility: Toggle between JSON for automated pipelines and plain text for immediate copy-pasting.
SKILL.md
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