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- YouTube Content Pipeline: Automated video idea scouting with X/Twitter integration - Personal CRM: Contact discovery and meeting prep automation - AI Earnings Tracker: Tech earnings monitoring and summaries - Knowledge Base (RAG): Searchable repository of saved content - Health & Symptom Tracker: Food and symptom logging with pattern analysis - Multi-Channel Assistant: Unified interface across Telegram, Slack, Google Workspace All use cases verified in daily production use by @matthewberman
42 lines
1.4 KiB
Markdown
42 lines
1.4 KiB
Markdown
# Health & Symptom Tracker
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Identifying food sensitivities requires consistent logging over time, which is tedious to maintain. You need reminders to log and analysis to spot patterns.
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This workflow tracks food and symptoms automatically:
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• Message your food and symptoms in a dedicated Telegram topic and OpenClaw logs everything with timestamps
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• 3x daily reminders (morning, midday, evening) prompt you to log meals
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• Over time, analyzes patterns to identify potential triggers
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## Skills you Need
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- Cron jobs for reminders
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- Telegram topic for logging
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- File storage (markdown log file)
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## How to Set it Up
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1. Create a Telegram topic called "health-tracker" (or similar).
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2. Create a log file: `~/clawd/memory/health-log.md`
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3. Prompt OpenClaw:
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```text
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When I message in the "health-tracker" topic:
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1. Parse the message for food items and symptoms
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2. Log to ~/clawd/memory/health-log.md with timestamp
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3. Confirm what was logged
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Set up 3 daily reminders:
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- 8 AM: "🍳 Log your breakfast"
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- 1 PM: "🥗 Log your lunch"
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- 7 PM: "🍽️ Log your dinner and any symptoms"
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Every Sunday, analyze the past week's log and identify patterns:
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- Which foods correlate with symptoms?
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- Are there time-of-day patterns?
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- Any clear triggers?
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Post the analysis to the health-tracker topic.
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```
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4. Optional: Add a memory file for OpenClaw to track known triggers and update it as patterns emerge.
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