| name | ix-architecture |
| description | Analyze system design โ structure, coupling, code smells, and high-risk hotspots. Purely graph-based, no code reads. |
| metadata | {"openclaw":{"requires":{"bins":["ix"]}}} |
Run command -v ix to verify ix is on PATH. Never use tilde paths (~/...) or absolute paths โ always invoke ix directly via PATH. If not found, stop and say so โ this skill requires a graph.
Goal
Answer: how healthy is this system's design, where are the weak boundaries, and what should be improved? Never reads source code โ structural analysis only.
Phase 1 โ Structure (always)
Run in parallel:
timeout 60s ix subsystems --format llm
timeout 60s ix subsystems --list --format llm
If $ARGUMENTS is provided, also run:
timeout 60s ix subsystems $ARGUMENTS --explain
timeout 60s ix subsystems $ARGUMENTS --format llm
Extract:
- Region hierarchy (systems โ subsystems โ modules)
- Cohesion scores per region (higher = more self-contained)
- External coupling per region (lower = better)
crosscut_score > 0.1 โ cross-cutting concern (design smell)
confidence < 0.6 โ fuzzy boundary (uncertain region)
Phase 2 โ Smells
timeout 60s ix smells --format llm
If $ARGUMENTS scopes to a path:
timeout 60s ix smells --path $ARGUMENTS --format llm
Classify each finding: orphan / god-module / weak-component.
Phase 3 โ Hotspots (only if smells are found or coupling is high)
Run only if Phase 1 or 2 revealed significant issues:
timeout 60s ix rank --by dependents --kind class --top 10 --exclude-path test --format llm
timeout 60s ix rank --by dependents --kind function --top 10 --exclude-path test --format llm
Correlate: are the most-depended-on entities also in poorly-bounded subsystems? These are the highest-risk components.
Output
## Architecture Analysis
### System Structure
[Region hierarchy with file counts. Flag: low-confidence boundaries, high-coupling regions, cross-cutting modules.]
### Health Scores
| Region | Cohesion | Ext. Coupling | Boundary Ratio | Flag |
|--------|----------|---------------|----------------|------|
| [name] | [0-1] | [0-1] | [ratio] | [โ if bad] |
### Code Smells
**High severity:**
- [smell type] in [file/module] โ [why it matters]
**Medium severity:**
- ...
### Hotspots
[Top components where structural debt + centrality combine โ highest risk for changes]
### Improvement Areas
1. [specific issue] โ [concrete suggestion]
2. ...
### What's healthy
[Briefly note well-structured areas โ not everything is a problem]
Evidence: All claims must cite graph data (cohesion scores, smell counts, rank positions). No speculative design advice without structural evidence.