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debug-issue

Systematically debug issues using graph-powered code navigation

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
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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。

正在显示 SKILL.md

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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