Understand Explain
Developmentunderstand-explainUnderstand Explain is an Agent Skill for development published in the Egonex-AI/Understand-Anything repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Inspect the Agent Skill at https://github.com/Egonex-AI/Understand-Anything/blob/HEAD/understand-anything-plugin/skills/understand-explain/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/understand-explain, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
/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
$UA_DIR. RunUA_DIR=$([ -d .understand-anything ] && echo .understand-anything || echo .ua)— this is the legacy.understand-anything/when it already exists, otherwise the new.ua/. Check that$UA_DIR/knowledge-graph.jsonexists. If not, tell the user to run/understandfirst. -
Find the target node — use Grep to search the knowledge graph for the component: "$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
- For file paths (e.g.,
-
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 3, 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