Agent skill

Codebase Knowledge Graph Q&A

by Egonex-AI in Egonex-AI/Understand-Anything

Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file.

MITAuto-check passedDevelopment

Install Codebase Knowledge Graph Q&A

skills CLI
$ npx skills add Egonex-AI/Understand-Anything --skill understand-chat -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Egonex-AI/Understand-Anything understand-chat --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Egonex-AI/Understand-Anything.git skills-src && mkdir -p .claude/skills && cp -r skills-src/understand-anything-plugin/skills/understand-chat .claude/skills/understand-chat && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
understand-chat
GitHub stars
86k
Token cost
~1.2k tokens
SKILL.md length
610 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file.

  • Works in 4 steps: Use Grep to search within the JSON for… → Only read sections you need — don't dump… → Node names and summaries are the most… → …
  • Asking how a part of the codebase works before changing it
  • SKILL.md covers Graph Structure Reference, How to Read Efficiently and Instructions
  • Calls git

What it does

The skill reads a graph file kept in the project, `.ua/knowledge-graph.json` or the older `.understand-anything/knowledge-graph.json`. If it is missing, the agent tells you to run `/understand` first. Before relying on it, the agent compares the commit recorded in the graph's metadata with the current `HEAD` and looks at what changed since, so stale answers can be spotted.

The graph holds a project summary, nodes (files, functions, classes, modules, configs, services, tables, endpoints and more), edges such as imports, calls and depends_on, layers and a guided tour. To keep context small, the agent searches the JSON with Grep for relevant entries first, reads only the sections it needs, relies on node names and summaries, and follows import and call edges to trace dependency chains.

When your agent uses it

  • Asking how a part of the codebase works before changing it
  • Tracing which modules depend on a given file
  • Getting oriented in an unfamiliar repository

Example prompts

  • “Which files call the payment service, and what do they depend on?”
  • “Explain how a request moves from the router to the database.”
  • “/understand-chat Where is authentication configured?”

Requirements

  • A knowledge graph generated by running `/understand` in the project
  • Git, to compare the graph's commit with the current one

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit ffa2f0a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Codebase Knowledge Graph Q&A loads about 1.2k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 610 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Egonex-AI/Understand-Anything at commit ffa2f0a, republished under its MIT licence (© Egonex-AI). 610 words, ~1,187 tokens.

Download SKILL.mdSave it as .claude/skills/understand-chat/SKILL.md (or your agent's skills folder).
name
understand-chat
description
Use when you need to ask questions about a codebase or understand code using a knowledge graph
argument-hint
[query]

/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:
      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 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

© Egonex-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in understand-anything-plugin/skills/understand-chat of Egonex-AI/Understand-Anything.

Open the folder on GitHubat commit ffa2f0a

Compare with similar skills

Codebase Knowledge Graph Q&A next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Codebase Knowledge Graph Q&A compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Codebase Knowledge Graph Q&A this skillEgonex-AI/Understand-Anything86k—~1.2kAutomated safety check: PassMIT
Forgetful Repo EncodingScottRBK/forgetful301—~1kAutomated safety check: PassMIT
Explore Codebase with Graphtirth8205/code-review-graph32k1 repos~335Automated safety check: PassMIT
Acquire Codebase Knowledgegithub/awesome-copilot40k1 repos~2.3kAutomated safety check: PassMIT
Compasscrabbuild/compass171—~5kAutomated safety check: PassCustom licence
Dossier Collectruvnet/ruflo74k—~1.1kAutomated safety check: NotesMIT

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Works with

Questions about Codebase Knowledge Graph Q&A

What does Codebase Knowledge Graph Q&A do?

Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file. json`. If it is missing, the agent tells you to run `/understand` first.

When should I use Codebase Knowledge Graph Q&A?

Codebase Knowledge Graph Q&A fits situations like: asking how a part of the codebase works before changing it; tracing which modules depend on a given file; getting oriented in an unfamiliar repository.

How do I install Codebase Knowledge Graph Q&A in Claude Code?

Run `npx skills add Egonex-AI/Understand-Anything --skill understand-chat -a claude-code`. Or copy the skill folder (understand-anything-plugin/skills/understand-chat in Egonex-AI/Understand-Anything) into .claude/skills/understand-chat in your project. Claude Code loads it when a task matches its description.

How do I install Codebase Knowledge Graph Q&A in Codex?

Run `npx skills add Egonex-AI/Understand-Anything --skill understand-chat -a codex`. Or copy the skill folder (understand-anything-plugin/skills/understand-chat in Egonex-AI/Understand-Anything) into .agents/skills/understand-chat in your project. Codex loads it when a task matches its description.

Can I use Codebase Knowledge Graph Q&A in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Egonex-AI/Understand-Anything --skill understand-chat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/understand-chat, .gemini/skills/understand-chat, .github/skills/understand-chat and .opencode/skills/understand-chat in your project.

What does Codebase Knowledge Graph Q&A need to run?

Going by SKILL.md and its folder, Codebase Knowledge Graph Q&A needs the command-line tools its instructions call (git). Our summary lists: A knowledge graph generated by running `/understand` in the project; Git, to compare the graph's commit with the current one.

Does Codebase Knowledge Graph Q&A access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Codebase Knowledge Graph Q&A safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Codebase Knowledge Graph Q&A use?

Codebase Knowledge Graph Q&A is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Codebase Knowledge Graph Q&A use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Codebase Knowledge Graph Q&A?

Skills that share tags, products or a category with Codebase Knowledge Graph Q&A: Forgetful Repo Encoding (ScottRBK/forgetful, 301 stars), Explore Codebase with Graph (tirth8205/code-review-graph, 32k stars), Acquire Codebase Knowledge (github/awesome-copilot, 40k stars) and Compass (crabbuild/compass, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codebase Knowledge Graph Q&A?

Egonex-AI (a GitHub organization) maintains it in Egonex-AI/Understand-Anything, which has 85,788 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 9, 2026.

Source: Egonex-AI/Understand-Anything on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.