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Understand Explain

Free

Get in-depth explanations of code components.

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Free · Opens the source repo

What Understand Explain does

The Understand Explain skill provides developers with a powerful tool for gaining a comprehensive understanding of specific code components within a codebase. This skill is particularly useful when you need to dissect a file, function, or module, offering detailed insights into its structure, purpose, and interconnections with other components. By leveraging a structured knowledge graph, the skill allows users to navigate complex codebases with ease, making it an invaluable resource for both new and experienced developers alike.

At its core, the skill operates by analyzing a JSON representation of the codebase, which includes metadata about the project, nodes representing various components, and edges that define the relationships between these components. This structured approach enables users to quickly locate and examine the relevant parts of the code, facilitating a deeper understanding of how different elements interact and depend on one another. The skill emphasizes efficient reading practices, encouraging users to search for specific components and only delve into sections that are pertinent to their inquiries.

When using the Understand Explain skill, developers can expect to receive a thorough breakdown of a targeted code component's role within the overall architecture, its internal structure, and its external connections. The skill guides users through the process of identifying dependencies, understanding data flow, and recognizing patterns and idioms that may be present in the code. This comprehensive analysis not only aids in code comprehension but also supports better decision-making when modifying or extending the codebase.

Overall, the Understand Explain skill is designed for developers who require a detailed and methodical approach to understanding code components. Whether you are onboarding onto a new project or tackling a particularly complex module, this skill equips you with the insights necessary to navigate and master your codebase effectively.

When to use it

Use this skill when you need a detailed explanation of specific files, functions, or modules in your codebase.

When not to use it

This skill may not be suitable for high-level overviews or when quick summaries are needed without in-depth analysis.

What you can build with it

Analyzing a New Module

When onboarding onto a new project, use this skill to understand the purpose and structure of new modules.

Debugging Complex Functions

If you're encountering issues with a specific function, this skill can help you trace its dependencies and interactions.

Refactoring Code

Before refactoring, use this skill to understand how changes may impact related components in the codebase.

How to install Understand Explain

View source

1. Install with the skills CLI

npx skills add egonex-ai/understand-anything/understand-explain --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by egonex-ai

/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

  1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
  2. Only read sections you need — 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 — follow imports and calls for dependency chains

Instructions

  1. 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. If not, tell the user to run /understand first.

  2. 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:
      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 /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.
  3. 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, and complexity
  4. 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
  5. Read connected nodes — for each connected node ID from step 4, Grep for those IDs in the nodes section to get their name, summary, and type. This builds the component's neighborhood.

  6. 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.

  7. Read the actual source file — Read the source file at the node's filePath for the deep-dive analysis.

  8. Explain the component in context:

    • Its role in the architecture (which layer, why it exists)
    • Internal structure (functions, classes it contains — from contains edges)
    • 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

Frequently asked questions about Understand Explain

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