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Understand chat

Skill ComeOnOliver/skillshub/skills/Lum1104/Understand-Anything/understand-chat

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Install
npx -y skills add ComeOnOliver/skillshub --skill understand-chat

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SKILL.md

2.5 KB, 600 tokens by cl100k_base, as published. Nobody here has run it

/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 β€” {name, description, languages, frameworks, analyzedAt, gitCommitHash}
  • nodes[] β€” 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[] β€” each has {source, target, type, direction, weight}
    • Key types: imports, contains, calls, depends_on
  • layers[] β€” each has {id, name, description, nodeIds[]}
  • tour[] β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” link concepts to actual code locations
    • If the query doesn't match any nodes, say so and suggest related terms from the graph

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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