ix-architecture
Analyze system design — structure, coupling, code smells, and high-risk hotspots. Purely graph-based, no code reads.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Analyze system design — structure, coupling, code smells, and high-risk hotspots. Purely graph-based, no code reads.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Root cause analysis — trace execution path to a failure, narrow candidates, read minimal source only at suspected failure points.
Generate narrative-first, importance-weighted documentation for a repo, system, or subsystem with a selective reference layer. Use --full for deeper module/class/method coverage.
Change risk analysis — blast radius, affected systems, and what to test. Depth scales with risk level; low-risk targets stop early.
Deep dive into a symbol, feature, or bug. Graph-first, minimal code reads, early stopping when sufficient evidence found.
Generate a risk-ordered implementation plan for a set of targets. Assesses blast radius per target, finds data flows between them, and produces a safe change sequence.
Build a mental model of a system, subsystem, or the whole repo. Graph-first, no code reads unless necessary.
| name | ix-architecture |
| description | Analyze system design — 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 — always invoke ix directly via PATH. If not found, stop and say so — this skill requires a graph.
Answer: how healthy is this system's design, where are the weak boundaries, and what should be improved? Never reads source code — structural analysis only.
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:
crosscut_score > 0.1 → cross-cutting concern (design smell)confidence < 0.6 → fuzzy boundary (uncertain region)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.
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.
## 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] | [⚠ if bad] |
### Code Smells
**High severity:**
- [smell type] in [file/module] — [why it matters]
**Medium severity:**
- ...
### Hotspots
[Top components where structural debt + centrality combine — highest risk for changes]
### Improvement Areas
1. [specific issue] — [concrete suggestion]
2. ...
### What's healthy
[Briefly note well-structured areas — 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.