技能 编程开发 知识图谱代码助手

知识图谱代码助手

v20260325
understand-chat
借助 `.understand-anything/knowledge-graph.json` 的项目图谱引导分析元数据、节点、边与层级,帮助开发者快速理解代码上下文与依赖。
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/understand-chat

Answer questions about this codebase using the knowledge graph at .understand-anything/knowledge-graph.json.

Graph Structure Reference

The knowledge graph JSON has this structure:

  • project — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
  • nodes[] — each has {id, type, name, filePath, summary, tags[], complexity, languageNotes?}
  • Node types: file, function, class, module, concept
  • IDs: file:path, function:path:name, class:path:name
  • edges[] — each has {source, target, type, direction, weight}
  • Key types: imports, contains, calls, depends_on
  • layers[] — each has {id, name, description, nodeIds[]}
  • tour[] — each has {order, title, description, nodeIds[]}

How to Read Efficiently

  1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
  2. Only read sections you need — don't dump the entire graph into context
  3. Node names and summaries are the most useful fields for understanding
  4. Edges tell you how components connect — follow imports and calls for dependency chains

Instructions

  1. Check that .understand-anything/knowledge-graph.json exists in the current project root. If not, tell the user to run /understand first.
  1. Read project metadata only — use Grep or Read with a line limit to extract just the "project" section from the top of the file for context (name, description, languages, frameworks).
  1. Search for relevant nodes — use Grep to search the knowledge graph file for the user's query keywords: "$ARGUMENTS"
  • Search "name" fields: grep -i "query_keyword" in the graph file
  • Search "summary" fields for semantic matches
  • Search "tags" arrays for topic matches
  • Note the id values of all matching nodes
  1. Find connected edges — for each matched node ID, Grep for that ID in the edges section to find:
  • What it imports or depends on (downstream)
  • What calls or imports it (upstream)
  • This gives you the 1-hop subgraph around the query
  1. Read layer context — Grep for "layers" to understand which architectural layers the matched nodes belong to.
  1. Answer the query using only the relevant subgraph:
  • Reference specific files, functions, and relationships from the graph
  • Explain which layer(s) are relevant and why
  • Be concise but thorough — link concepts to actual code locations
  • If the query doesn't match any nodes, say so and suggest related terms from the graph
信息
分类 编程开发
名称 understand-chat
版本 v20260325
大小 2.63KB
更新时间 2026-03-26
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