Agent skill

Understand Explain

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

Gives an in-depth explanation of one file, function or module by reading the project's knowledge graph and checking that the graph is still fresh.

MITAuto-check passedDevelopment

Install Understand Explain

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

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

GitHub CLI
$ gh skill install Egonex-AI/Understand-Anything understand-explain --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-explain .claude/skills/understand-explain && 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-explain
GitHub stars
86k
Token cost
~1.3k tokens
SKILL.md length
637 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Gives an in-depth explanation of one file, function or module by reading the project's knowledge graph and checking that the graph is still fresh.

  • 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… → …
  • Getting a deep-dive explanation of a specific file, function or module
  • SKILL.md covers Graph Structure Reference, How to Read Efficiently and Instructions
  • Calls git

What it does

This slash command, /understand-explain, produces a thorough explanation of a single code component using a knowledge graph the project already holds. The graph is JSON with a project record, nodes for files, functions, classes, modules and concepts as well as config, services, tables and domain items, edges such as imports, calls and depends_on, and layers and a guided tour. If the graph file is missing, the agent tells you to run /understand first.

To save context it searches the JSON with Grep before reading anything, reads only the sections it needs and follows imports and calls to trace dependency chains. It resolves the data directory, using the legacy .understand-anything folder when present and .ua otherwise, and checks freshness by comparing the graph's recorded git commit with HEAD, looking only at changes inside the project path so that commits to a sibling monorepo project do not make the graph stale.

When your agent uses it

  • Getting a deep-dive explanation of a specific file, function or module
  • Understanding how one component connects to the rest of the codebase
  • Tracing the imports and calls around a piece of code

Example prompts

  • “Explain src/auth/session.ts in depth, including what calls it.”
  • “Give me a deep dive on the retry function in the HTTP client.”
  • “How does the billing module fit into the rest of the codebase?”

Requirements

  • A knowledge graph created earlier with /understand

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

Understand Explain loads about 1.3k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 637 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 637 words, ~1,250 tokens.

Download SKILL.mdSave it as .claude/skills/understand-explain/SKILL.md (or your agent's skills folder).
name
understand-explain
description
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase
argument-hint
[file-path]

/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:
      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 "$GRAPH_COMMIT" HEAD -- .
      git diff --cached --name-only -- .
      git diff --name-only -- .
      git ls-files --others --exclude-standard -- .
    • The -- . pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty.
    • Ignore the selected data directory (.ua/ or legacy .understand-anything/) in every command's output because it contains generated graph artifacts, not project source drift.
    • If the committed diff or any working-tree command reports project files, warn before explaining that graph-derived context may omit those changes. Suggest: Run /understand to refresh the graph.
    • Run the commit diff only when GRAPH_COMMIT_RAW resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
  3. Find the target node — use Grep to search the knowledge graph for the component: "$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

© 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-explain of Egonex-AI/Understand-Anything.

Open the folder on GitHubat commit ffa2f0a

Compare with similar skills

Understand Explain 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.

Understand Explain compared with similar skills
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Understand Explain this skillEgonex-AI/Understand-Anything86k—~1.3kAutomated safety check: PassMIT
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Explore Codebase with Graphtirth8205/code-review-graph32k1 repos~335Automated safety check: PassMIT
Acquire Codebase Knowledgegithub/awesome-copilot40k1 repos~2.3kAutomated safety check: PassMIT
Compasscrabbuild/compass169—~5kAutomated safety check: PassCustom licence
Dossier Collectruvnet/ruflo74k—~1.1kAutomated safety check: NotesMIT

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Works with

Questions about Understand Explain

What does Understand Explain do?

Gives an in-depth explanation of one file, function or module by reading the project's knowledge graph and checking that the graph is still fresh. This slash command, /understand-explain, produces a thorough explanation of a single code component using a knowledge graph the project already holds. The graph is JSON with a project record, nodes for files, functions, classes, modules and concepts as well as config, services, tables and domain items, edges such as imports, calls and depends_on, and layers and a guided tour.

When should I use Understand Explain?

Understand Explain fits situations like: getting a deep-dive explanation of a specific file, function or module; understanding how one component connects to the rest of the codebase; tracing the imports and calls around a piece of code.

How do I install Understand Explain in Claude Code?

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

How do I install Understand Explain in Codex?

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

Can I use Understand Explain 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-explain -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-explain, .gemini/skills/understand-explain, .github/skills/understand-explain and .opencode/skills/understand-explain in your project.

What does Understand Explain need to run?

Going by SKILL.md and its folder, Understand Explain needs the command-line tools its instructions call (git). Our summary lists: A knowledge graph created earlier with /understand.

Does Understand Explain 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 Understand Explain 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 Understand Explain use?

Understand Explain 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 Understand Explain use?

About 1.3k tokens (SKILL.md is roughly 5k 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 Understand Explain?

Skills that share tags, products or a category with Understand Explain: 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, 169 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Understand Explain?

Egonex-AI (a GitHub organization) maintains it in Egonex-AI/Understand-Anything, which has 85,709 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.