understand-chat

Category: Development & Coding | Uploader: Lum1104 | Downloads: 0 | Version: v1.0（Latest）

Use when you need to ask questions about a codebase or understand code using a knowledge graph

Changelog: Source: GitHub https://github.com/Lum1104/Understand-Anything

Directory Structure

Current level: understand-anything-plugin/skills/understand-chat/

📄 SKILL.md 2.6 KB

SKILL.md

---
name: understand-chat
description: Use when you need to ask questions about a codebase or understand code using a knowledge graph
argument-hint: [query]
---

# /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`, `func: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.

2. **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).

3. **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

4. **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

5. **Read layer context** — Grep for `"layers"` to understand which architectural layers the matched nodes belong to.

6. **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

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understand-chat

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