Answer questions about this codebase using the knowledge graph in the project's data directory (.ua/knowledge-graph.json, or the legacy .understand-anything/knowledge-graph.json when that directory is present).
layers[] — each has {id, name, description, nodeIds[]}
tour[] — each has {order, title, description, nodeIds[]}
How to Read Efficiently
Use Grep to search within the JSON for relevant entries BEFORE reading the full file
Only read sections you need — don't dump the entire graph into context
Node names and summaries are the most useful fields for understanding
Edges tell you how components connect — follow imports and calls for dependency chains
Instructions
Resolve the data directory $UA_DIR. Run UA_DIR=$([ -d .understand-anything ] && echo .understand-anything || echo .ua) — this is the legacy .understand-anything/ when it already exists, otherwise the new .ua/. Check that $UA_DIR/knowledge-graph.json exists in the current project root. If not, tell the user to run /understand first.
Check graph freshness before using graph-derived context:
Read project.gitCommitHash from the graph metadata as GRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it with git rev-parse HEAD and inspect project-scoped committed and working-tree changes from the project root:
The -- . pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty.
Ignore the selected data directory (.ua/ or legacy .understand-anything/) in every command's output because it contains generated graph artifacts, not project source drift.
If the committed diff or any working-tree command reports project files, warn before answering that graph-derived context may omit those changes. Suggest: Run /understand to refresh the graph.
Run the commit diff only when GRAPH_COMMIT_RAW resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
Read project metadata only — use Grep or Read with a line limit to extract just the "project" section from the top of the file for context (name, description, languages, frameworks).
Search for relevant nodes — use Grep to search the knowledge graph file for the user's query keywords: "$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
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
Read layer context — Grep for "layers" to understand which architectural layers the matched nodes belong to.
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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