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egonex-ai on GitHub

Understand Chat

Free

Ask questions about codebases using a knowledge graph.

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Free · Opens the source repo

What Understand Chat does

Understand Chat is a skill designed for developers and designers who need to navigate complex codebases efficiently. By leveraging a structured knowledge graph stored in a JSON format, this skill allows users to query specific aspects of their projects, including files, functions, classes, and various configurations. The knowledge graph provides a comprehensive view of the project's structure, including dependencies and relationships between different components, making it easier to understand how the code fits together and operates.

To use Understand Chat effectively, users can begin by ensuring they have the correct data directory set up, which contains the knowledge graph. The skill offers a systematic approach to querying this graph, allowing users to search for relevant nodes and edges that connect various elements of the codebase. This is particularly useful for onboarding new team members or for developers who are diving into unfamiliar code. The skill emphasizes efficient reading strategies, encouraging users to focus on specific sections of the graph that are most relevant to their queries, rather than overwhelming themselves with the entire dataset.

The knowledge graph is structured to include various node types, such as code nodes (files, functions, classes) and non-code nodes (configurations, services), along with edges that define the relationships between these nodes. This structure enables users to trace dependencies and understand the flow of the application. By following the instructions provided, users can ensure they are working with the most current version of the graph, which is crucial for accurate understanding and analysis.

Ultimately, Understand Chat is an invaluable tool for anyone working with complex codebases, providing a clear and organized way to ask questions and receive informed answers based on the project's knowledge graph. Whether you're debugging, refactoring, or simply trying to get a grasp on a new project, this skill helps streamline the process of understanding code.

When to use it

Use this skill when you need to ask specific questions about a codebase or when you want to visualize relationships within the code.

When not to use it

This skill may not be suitable for projects without a structured knowledge graph or if you're looking for general coding assistance rather than specific codebase queries.

What you can build with it

Onboarding New Developers

Use Understand Chat to help new team members familiarize themselves with the codebase by querying specific components and their relationships.

Debugging Complex Issues

When facing a challenging bug, leverage the knowledge graph to trace dependencies and understand how different parts of the code interact.

Refactoring Code

Before refactoring, use this skill to analyze the impact of changes by understanding the connections between various code elements.

How to install Understand Chat

View source

1. Install with the skills CLI

npx skills add egonex-ai/understand-anything/understand-chat --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-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).

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 in the current project root. 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 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.
  3. 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).

  4. 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
  5. 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
  6. Read layer context — Grep for "layers" to understand which architectural layers the matched nodes belong to.

  7. 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

Frequently asked questions about Understand Chat

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