# Ivx Cf Architecture Review

> Review system architecture decisions for scalability, reliability, and maintainability. Use when designing new systems, reviewing architecture proposals, or evaluating technical designs.

- Skill: `intelli-verse-x/ivx-cf-architecture-review` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add intelli-verse-x/ivx-cf-architecture-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/intelli-verse-x/ivx-cf-architecture-review/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: intelli-verse-x (https://skillmd.com/u/intelli-verse-x)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/intelli-verse-x/ivx-cf-architecture-review

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# Architecture Review Skill

## Purpose

Ensure system designs are sound, scalable, and maintainable.

## Review Dimensions

| Dimension | Questions |
|-----------|-----------|
| Scalability | How does it handle 10x growth? |
| Reliability | What happens when components fail? |
| Maintainability | Can a new engineer understand it? |
| Performance | Are latency/throughput targets met? |
| Security | What are the attack vectors? |
| Cost | What's the $/request at scale? |
| Operability | Can we debug it at 3 AM? |

## Review Process

1. **Read**: Understand requirements and constraints
2. **Diagram**: Sketch data flow and component interactions
3. **Question**: Identify assumptions and risks
4. **Compare**: Evaluate alternatives
5. **Decide**: Document recommendation

## ADR Template

```markdown
## ADR-XXX: [Decision Title]

### Context
[What problem are we solving?]

### Decision
[What are we doing?]

### Consequences
- Positive: [...]
- Negative: [...]
- Risks: [...]

### Alternatives Considered
| Option | Pros | Cons |
|--------|------|------|
| A | [...] | [...] |
| B | [...] | [...] |

### Compliance
[How we'll verify this decision was correct]
```

## CF-Specific

- Review against `.cursor/ANTI_PATTERNS.md`
- Check operator-loop compatibility (tags, harvest)
- Verify LiteLLM routing for all LLM calls
- Ensure pipeline stages are independently replaceable