research-automation

# Research Automation

Automated research system that searches the web for new developments in peptides, biohacking, longevity, and trending health topics.

## What It Does

- **Web Search**: Queries multiple sources for latest research, protocols, and trends
- **Content Curation**: Filters and organizes findings by topic
- **Insight Generation**: Extracts actionable insights and content angles
- **Auto-Save**: Stores research in structured markdown files for easy access

## Topics Covered

1. **Peptides**: New peptides, clinical studies, protocols, dosing updates
2. **Biohacking Protocols**: Emerging techniques, stack combinations, optimization methods
3. **Longevity Science**: Aging research, interventions, biomarkers, clinical trials
4. **Trending Topics**: Viral health content, controversial topics, zeitgeist shifts
5. **Performance Optimization**: Founder health, cognitive enhancement, metabolic optimization

## Usage

### On-Demand Research

Run a targeted research query:

```
Run research on [topic] - focus on [specific angle]
```

Example:
```
Run research on GLP-1 peptides - focus on recent clinical trials and dosing protocols
```

### Scheduled Research (Heartbeat)

The skill runs automatically via heartbeat rotation, cycling through research topics:
- Peptides (weekly)
- Biohacking protocols (twice weekly)
- Longevity updates (weekly)
- Trending topics (daily)

## Output Format

Research is saved to `research/[topic]/[date].md`:

```markdown
# [Topic] Research - [Date]

## Key Findings

1. **[Finding Title]**
   - Source: [URL]
   - Key Insight: [1-2 sentence summary]
   - Actionable: [What you can do with this]
   - Content Angle: [How to turn this into content]

2. **[Next Finding]**
   ...

## Trending Discussions

- [Topic]: [Summary of discourse]
- [Topic]: [Summary of discourse]

## Content Ideas Generated

1. [Tweet/thread angle]
2. [LinkedIn post angle]
3. [Article angle]

## Sources Reviewed

- [Source 1]
- [Source 2]
...
```

## Search Strategy...