Add 6 real-world use cases from YouTube creator workflow

- 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

usecases/health-symptom-tracker.md

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+# Health & Symptom Tracker
+
+Identifying food sensitivities requires consistent logging over time, which is tedious to maintain. You need reminders to log and analysis to spot patterns.
+
+This workflow tracks food and symptoms automatically:
+
+• Message your food and symptoms in a dedicated Telegram topic and OpenClaw logs everything with timestamps
+• 3x daily reminders (morning, midday, evening) prompt you to log meals
+• Over time, analyzes patterns to identify potential triggers
+
+## Skills you Need
+
+- Cron jobs for reminders
+- Telegram topic for logging
+- File storage (markdown log file)
+
+## How to Set it Up
+
+1. Create a Telegram topic called "health-tracker" (or similar).
+2. Create a log file: `~/clawd/memory/health-log.md`
+3. Prompt OpenClaw:
+```text
+When I message in the "health-tracker" topic:
+1. Parse the message for food items and symptoms
+2. Log to ~/clawd/memory/health-log.md with timestamp
+3. Confirm what was logged
+
+Set up 3 daily reminders:
+- 8 AM: "🍳 Log your breakfast"
+- 1 PM: "🥗 Log your lunch"
+- 7 PM: "🍽️ Log your dinner and any symptoms"
+
+Every Sunday, analyze the past week's log and identify patterns:
+- Which foods correlate with symptoms?
+- Are there time-of-day patterns?
+- Any clear triggers?
+
+Post the analysis to the health-tracker topic.
+```
+
+4. Optional: Add a memory file for OpenClaw to track known triggers and update it as patterns emerge.