A neutral pain and symptom journaling framework designed to help users accurately describe their experiences to healthcare providers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pain-pattern-journal
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 pain-pattern-journal 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 Pain Pattern Journal?
The Pain Pattern Journal is a specialized methodology within Openclaw Skills designed to bridge the communication gap between users and clinicians. It provides a structured environment for documenting pain location, timing, triggers, and functional impact without the bias of self-diagnosis. By focusing on neutral observation, this skill helps users organize complex physical experiences into clear, actionable data points that healthcare professionals can use for more effective evaluations.
This framework emphasizes health literacy and self-observation, ensuring that critical details—such as how pain affects sleep, mobility, or mood—are captured consistently. It serves as a preparation tool for medical appointments, transforming subjective discomfort into a clear chronological narrative and functional impact assessment.
Pain Pattern Journal Use Cases
- Preparing for a primary care or specialist appointment by organizing symptom history.
- Identifying specific triggers or relief factors for chronic pain management.
- Documenting how physical symptoms impact daily activities like work, sleep, and childcare.
- Tracking the progression or change in pain quality and intensity over time.
- Differentiating between routine symptoms and urgent red flags requiring emergency care.
How Pain Pattern Journal Works
- Trigger the journal entry process to capture real-time or retrospective pain data.
- Input specific details including anatomical location, pain quality, and intensity levels.
- Log the context of the episode, noting what activities were occurring and any triggers or relief factors identified.
- Apply functional impact prompts to assess how the symptoms affect daily living and mobility.
- Use the reflection prompts to synthesize data into concise statements ready for clinician review.
- Review the red flag checklist to determine if symptoms require immediate medical intervention.
Pain Pattern Journal Setup
To integrate this framework into your workflow, ensure your environment is compatible with Openclaw Skills. Follow these steps for setup:
# Initialize the journaling framework
openclaw install pain-pattern-journal
# Configure your local storage for private health logs
openclaw configure pain-pattern-journal --storage local
Pain Pattern Journal Data Schema & Taxonomy
The skill organizes symptom data using a structured log and reflection taxonomy to ensure consistency across entries.
| Attribute | Description |
|---|---|
| Date/Time | Precise timestamp of the symptom or observation |
| Location | Specific anatomical area where the sensation is felt |
| Quality | Descriptive nature (e.g., sharp, dull, aching, throbbing) |
| Intensity | Quantitative or qualitative measure of severity |
| Context | Activities, triggers, or interventions at the time of entry |
| Function | Impact on specific activities (walking, sitting, mood, sleep) |
| Red Flags | Boolean markers for emergency symptoms |
Data is further organized into weekly pattern reflections that synthesize missing information and activity changes.
Pain Pattern Journal Advanced Features
- Functional Impact Mapping: Prompts users to evaluate effects on sleep, social activity, and exercise tolerance.
- Clinician Communication Templates: Generates short, objective statements specifically formatted for medical consultations.
- Weekly Pattern Analytics: Identifies trends in pain fluctuations and behavioral changes over time.
- Integrated Safety Boundary: Built-in screening for red flags like neurological changes or acute distress.
- Multi-Agent Compatibility: Can be used as a source of truth for other Openclaw Skills focused on health literacy.
SKILL.md
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