pai-monitor

# PAI Monitor

Monitor the [Personal AI Infrastructure](https://github.com/danielmiessler/Personal_AI_Infrastructure) repository and identify opportunities to improve Geoffrey.

## Focus Areas

When invoked with an argument, focus analysis on that area:
- **packs** - Deep dive on PAI pack additions/changes
- **hooks** - Hook system evolution and patterns
- **skills** - Skill structure and patterns
- **patterns** - Architectural patterns (memory, validation, etc.)

Without an argument, perform full analysis across all areas.

---

## Phase 1: Fetch PAI Current State

### 1.1 Core Documentation
Fetch these from `github.com/danielmiessler/Personal_AI_Infrastructure`:
- `README.md` - Overall structure and philosophy
- `CLAUDE.md` - System instructions and principles
- Check releases for version info

### 1.2 Pack Structure
Explore the Packs/ directory:
- List all available packs
- Sample key packs: hooks, algorithm, memory, skills
- Note any new packs since last analysis

### 1.3 Recent Changes
- Check recent commits for significant updates
- Look for new patterns or breaking changes
- Note any announcements or migration guides

---

## Phase 2: Analyze Geoffrey Current State

### 2.1 Core Architecture
Read these Geoffrey files:
- `CLAUDE.md` - Founding principles and guidelines
- `README.md` - Current capabilities
- `.claude-plugin/plugin.json` - Version info

### 2.2 Skills Inventory
```bash
# Glob for all skills
skills/*/SKILL.md
```
Create inventory of current skills and their purposes.

### 2.3 Pattern Identification
Identify Geoffrey's current patterns:
- Hook system usage
- Knowledge storage approach
- Skill structure conventions
- Validation patterns

---

## Phase 3: Gap Analysis

Compare Geoffrey against PAI across these dimensions:

### 3.1 Pack/Skill Coverage
- What PAI packs do we lack equivalent skills for?
- Which packs would provide highest value?
- Are there redundant or outdated skills?

### 3.2 Architectural Patterns
- Hook system: How does PAI's comp