A vision-semantic AI assistant designed to automate ECG image auditing, metadata extraction, and AI-driven diagnostic reporting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ecg-diagnosis
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 ecg-diagnosis 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 ECG_Excel_Pro?
ECG_Excel_Pro is a high-precision automation tool built for the Openclaw Skills ecosystem, specifically designed for the 2026 vision-semantic cardiac diagnostic workflow. It acts as a specialized bridge between raw medical imagery and structured data, ensuring that every ECG record is audited for metadata compliance before processing. By integrating this into Openclaw Skills, developers and medical tech professionals can enforce strict data standards while leveraging AI to handle complex waveform extraction.
The skill is engineered to operate with a strict execution protocol, preventing unauthorized code generation and ensuring that only verified local scripts are utilized for medical data handling. It transforms the often chaotic process of managing ECG images into a streamlined, automated pipeline that includes filename auditing, demographic extraction, and real-time progress reporting.
ECG_Excel_Pro Use Cases
- Batch processing ECG records from local directories while ensuring 100% metadata accuracy.
- Automated extraction of patient age and gender from filenames to populate medical databases.
- Enforcing standardized naming conventions in clinical environments to maintain data integrity.
- Streamlining the transition from paper-based or image-based ECGs to AI-enhanced digital diagnostics.
How ECG_Excel_Pro Works
- The user initiates a request to process a specific folder containing ECG images.
- The skill triggers the Filename Audit Protocol to verify that all files follow the yyyy-mm-dd_age_gender_name.jpg format.
- If any file fails the audit, the process is halted with a corrective feedback message to the user.
- Valid metadata (date, age, gender, name) is extracted automatically from the filenames.
- The agent generates a visual progress broadcast detailing the five-step diagnostic sequence.
- The skill executes the local Python diagnostic script with the verified folder path and image list as arguments.
ECG_Excel_Pro Setup
To integrate this capability into your Openclaw Skills environment, ensure your local directory structure is prepared.
# 1. Place your ECG images in a target directory (e.g., D:\ECG)
# 2. Rename images to follow the mandatory format:
# yyyy-mm-dd_age_gender_name.jpg
# 3. Ensure the core script is located at:
# scripts/ecg_diagnosis.py
# 4. Trigger the skill via the agent:
# "Process the ECG images in folder D:\ECG"
ECG_Excel_Pro Data Schema & Taxonomy
The skill organizes data based on a strict taxonomy extracted from file system metadata and visual processing results:
| Attribute | Source | Description |
|---|---|---|
| yyyy-mm-dd | Filename | Recorded date of the ECG procedure |
| Age | Filename | Patient age used for diagnostic normalization |
| Gender | Filename | Patient gender for medical form population |
| Waveform | Image Analysis | Extracted signal data for AI interpretation |
| Folder Path | User Input | The source directory for batch processing |
ECG_Excel_Pro Advanced Features
- Filename Audit Protocol 2.0: Prevents processing of incorrectly labeled medical data.
- Vision-Semantic Data Sensing: Automatically fills forms by parsing filename strings.
- Layout Heatmap Detection: Adapts to dynamic UI rendering for stable button triggering in Gradio interfaces.
- Sequential Broadcast Logic: Provides human-readable progress updates across the five stages of AI diagnosis.
- Execution Guardrails: Strictly prohibits unauthorized Python code generation, ensuring only vetted scripts are run within the Openclaw Skills framework.
SKILL.md
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