来源信息
- 仓库
- tirth8205/code-review-graph
- 最近来源活动
- 2026年9月13日 23:59
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 32,042
- 分支
- 2,936
安装方式
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
检查来源文件
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
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SKILL.md
来源说明 · 只读预览- name
- debug-issue
- description
- Systematically debug issues using graph-powered code navigation
## Debug Issue
Trace a bug through the knowledge graph before reading source.
### Steps
1. Call `semantic_search_nodes_tool` to find code related to the issue.
2. Call `query_graph_tool` with `callers_of` and `callees_of` to trace the call chain in both directions.
3. Call `get_flow_tool` for the execution path that reaches the suspect code. Its entry point is where the bug is triggered.
4. Call `detect_changes_tool` to check whether a recent change caused the issue.
5. Call `get_impact_radius_tool` on the suspect files to see what a fix would affect.
## Token Efficiency Rules
- Call `get_minimal_context_tool(task="<your task>")` before any other graph tool.
- Pass `detail_level="minimal"` wherever a tool accepts it. Use "standard" only when minimal is not enough.
- Prefer a targeted `query_graph_tool` call over a broad listing call.
- Budget: about five tool calls and 800 tokens of graph output per task.
- Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.
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