Understand Explain
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase
Specification
- Skill ID
- egonex-ai/understand-anything/understand-explain
- Publisher
- egonex-ai
- Repository
- understand-anything
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
How to use it
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
egonex-ai/understand-anything/understand-explainInstalls these files- SKILL.md
What this skill tells the agent
/understand-explain
Provide a thorough, in-depth explanation of a specific code component.
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?}- Code node types: file, function, class, module, concept
- Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
- Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source
- IDs use the node type as prefix, e.g.
file:path,function:path:name,config:path,article:path edges[]— each has {source, target, type, direction, weight}- Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites
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$UA_DIR/knowledge-graph.jsonexists. If not, tell the user to run/understandfirst.
- Check graph freshness before using graph-derived context:
- Read
project.gitCommitHashfrom the graph metadata asGRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it withgit rev-parse HEADand inspect project-scoped committed and working-tree changes from the project root: ``bash GRAPH_COMMIT=$(git rev-parse --verify --end-of-options "${GRAPH_COMMIT_RAW}^{commit}" 2>/dev/null) git rev-parse HEAD git diff --name-only "$GRAPH_COMMIT" HEAD -- . git diff --cached --name-only -- . git diff --name-only -- . git ls-files --others --exclude-standard -- .`` - 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 explaining that graph-derived context may omit those changes. Suggest: Run
/understandto refresh the graph. - Run the commit diff only when
GRAPH_COMMIT_RAWresolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
- Find the target node — use Grep to search the knowledge graph for the component: "$ARGUMENTS"
- For file paths (e.g.,
src/auth/login.ts): search for"filePath"matches - For function notation (e.g.,
src/auth/login.ts:verifyToken): search for the function name in"name"fields filtered by the file path - Note the exact node
id,type,summary,tags, andcomplexity
- Find all connected edges — Grep for the target node's ID in the edges section:
"source"matches → things this node calls/imports/depends on (outgoing)"target"matches → things that call/import/depend on this node (incoming)- Note the connected node IDs and edge types
- Read connected nodes — for each connected node ID from step 4, Grep for those IDs in the nodes section to get their
name,summary, andtype. This builds the component's neighborhood.
- Identify the layer — Grep for the target node's ID in the
"layers"section to find which architectural layer it belongs to and that layer's description.
- Read the actual source file — Read the source file at the node's
filePathfor the deep-dive analysis.
- Explain the component in context:
- Its role in the architecture (which layer, why it exists)
- Internal structure (functions, classes it contains — from
containsedges) - External connections (what it imports, what calls it, what it depends on — from edges)
- Data flow (inputs → processing → outputs — from source code)
- Explain clearly, assuming the reader may not know the programming language
- Highlight any patterns, idioms, or complexity worth understanding
More from egonex-ai
Use this skill in a project
Open any RiverX project, search the Skills panel for egonex-ai/understand-anything/understand-explain, and install it in one click.
