npx skills add ...
npx skills add egonex-ai/understand-anything --skill understand-chat
Use when you need to ask questions about a codebase or understand code using a knowledge graph
npx skills add egonex-ai/understand-anything --skill understand-chat
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).
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?}
file:path, function:path:name, config:path, article:pathedges[] — each has {source, target, type, direction, weight}
layers[] — each has {id, name, description, nodeIds[]}tour[] — each has {order, title, description, nodeIds[]}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 $UA_DIR/knowledge-graph.json exists in the current project root. If not, tell the user to run /understand first.
Check graph freshness before using graph-derived context:
project.gitCommitHash from the graph metadata as GRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it with git rev-parse HEAD and inspect project-scoped committed and working-tree changes from the project root:
-- . pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty..ua/ or legacy .understand-anything/) in every command's output because it contains generated graph artifacts, not project source drift./understand to refresh the graph.GRAPH_COMMIT_RAW resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.Read project metadata only — use Grep or Read with a line limit to extract just the "project" section from the top of the file for context (name, description, languages, frameworks).
Search for relevant nodes — use Grep to search the knowledge graph file for the user's query keywords: "$ARGUMENTS"
"name" fields: grep -i "query_keyword" in the graph file"summary" fields for semantic matches"tags" arrays for topic matchesid values of all matching nodesFind connected edges — for each matched node ID, Grep for that ID in the edges section to find:
Read layer context — Grep for "layers" to understand which architectural layers the matched nodes belong to.
Answer the query using only the relevant subgraph: