medication-adherence-message-gen
Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aipoch-ai/medication-adherence-message-genWhat This Skill Does
The medication-adherence-message-gen skill is a specialized utility designed to assist in the creation of evidence-based SMS and push notification content aimed at improving patient medication compliance. It leverages principles from behavioral psychology to craft messages that are encouraging, clear, and action-oriented. Beyond simple message generation, this skill provides a structured execution environment tailored for academic writing workflows. It is architected to ensure that every output is reproducible, grounded in documented assumptions, and bounded by clearly defined scope parameters, making it an essential tool for clinical researchers and health-tech developers who require rigor in their AI-generated communications.
Installation
To install this skill, use the OpenClaw Hub CLI within your terminal. Ensure that you have Python 3.10+ installed and your environment variables are configured. Run the following command: clawhub install openclaw/skills/skills/aipoch-ai/medication-adherence-message-gen. Once installed, you can verify the integrity of the script by running python -m py_compile scripts/main.py from the skill directory. This ensures all dependencies listed in requirements.txt are satisfied before you attempt to generate any content.
Use Cases
- Clinical Research Drafting: Automatically generate notification templates for study participants that follow specific psychological frameworks while maintaining academic formatting.
- Health-Tech Prototyping: Rapidly iterate through potential notification styles to determine which behavioral nudges yield higher engagement in a controlled simulation environment.
- Content Auditing: Use the structured output path to review historical variations of adherence messages, ensuring all drafts align with institutional ethics and communication guidelines.
Example Prompts
- "Generate three variations of a morning medication reminder for elderly patients using loss aversion principles, ensuring each message is under 160 characters."
- "Create a structured report of adherence notification styles for a type 2 diabetes cohort, applying the 'nudge' framework and documenting all assumptions regarding patient literacy levels."
- "Review the current output in results.json and generate a follow-up set of evening reminder messages that emphasize the long-term health benefits of strict adherence."
Tips & Limitations
This tool is designed for structured workflows, not conversational chat. Always provide explicit input constraints to ensure the output remains within your project's scope. The skill relies on local configuration files; ensure your CONFIG block is updated before execution. Note that while the tool uses behavioral psychology, it does not replace professional clinical oversight. Always validate the generated output against your specific patient demographic and local healthcare regulations.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aipoch-ai-medication-adherence-message-gen": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, code-execution
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