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understand-onboard — Claude Code skill: what it does, how to install

Generates a structured project onboarding guide for new teammates using an existing knowledge graph. Useful for introducing developers to unfamiliar repositories.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add Egonex-AI/Understand-Anything --skill understand-onboard -a claude-code
Open on GitHub

What understand-onboard does

The skill reads knowledge-graph.json from .ua/ or legacy .understand-anything/ to build onboarding documentation. Before generating any text, it inspects project freshness by comparing project.gitCommitHash against git rev-parse HEAD and checking working tree diffs. If the project contains uncommitted or newer committed changes, it warns that the guide might omit recent modifications.

To keep the guide readable, the workflow filters graph nodes down to structural file-level items like configs, services, and endpoints, skipping low-level classes and functions. It extracts architecture layers, a guided tour, and complexity hotspots so newcomers know which components require extra care.

The skill cannot run without an existing graph: if knowledge-graph.json is missing, you must execute /understand first. Once generated, it offers to write the markdown output directly to docs/UA_ONBOARDING.md.

What it helps with

  • generate an onboarding guide for new team members
  • map architecture layers and key configuration files
  • highlight complexity hotspots in the repository for careful review
  • check knowledge graph freshness against the latest Git commits

Example prompts for the agent

  • /understand-onboard
  • Generate an onboarding guide for a new developer joining the repo
  • Run understand-onboard and save the overview to docs/UA_ONBOARDING.md

How to install understand-onboard

1Skills CLI (Vercel)

npx skills add Egonex-AI/Understand-Anything --skill understand-onboard -a claude-code

2Manually: put the files in place

~/.claude/skills/understand-onboard/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/understand-onboard/

From the same set8

The whole set →
understand Egonex-AI Analyzes a codebase and builds an interactive knowledge graph of its architecture, components, and relationships. Use it to explore an existing project. Claude Code CX Codex Cursor +1 5,200installs understand-dashboard Egonex-AI Launches a web dashboard that visualizes a codebase knowledge graph. Use it when you need to inspect project structure through an interactive view. Claude Code CX Codex Cursor +1 3,800installs understand-explain Egonex-AI Explains a file, function or module using the project knowledge graph: edges, layers, data flow. Useful when you land in unfamiliar code. Claude Code CX Codex Cursor +1 3,800installs understand-chat Egonex-AI A skill that answers questions about code structure and relationships using your project's knowledge graph. Useful when learning a codebase or tracking how components connect. Claude Code CX Codex Cursor +1 3,700installs understand-diff Egonex-AI Analyzes Git diffs against the project knowledge graph to identify affected dependencies, architectural layers, and merge risks. Useful before reviewing pull requests. Claude Code CX Codex Cursor +1 3,600installs understand-domain Egonex-AI Extracts business domains and process flows from a codebase, then creates an interactive graph. Useful when you need to see how a project’s processes fit together. Claude Code CX Codex Cursor +1 3,500installs understand-knowledge Egonex-AI Analyzes a Karpathy-pattern wiki and builds an interactive graph of entities, links, and topics. Use it to map a structured knowledge base. Claude Code CX Codex Cursor +1 3,400installs

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Questions about understand-onboard

How to install understand-onboard in Claude Code?

Run npx skills add Egonex-AI/Understand-Anything --skill understand-onboard -a claude-code in your terminal.

What does understand-onboard do?

It extracts architectural layers, guided tours, and structural nodes from the project's knowledge graph to generate a Markdown onboarding guide.

What is required before running understand-onboard?

The project must have a valid knowledge-graph.json file inside .ua/ or .understand-anything/. If the file is missing, run /understand first to build the graph.

Source text

SKILL.md · MIT
---
name: understand-onboard
description: Use when you need to generate an onboarding guide for new team members joining a project
---

# /understand-onboard

Generate a comprehensive onboarding guide from the project's knowledge graph.

## 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 generating the guide that onboarding content 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** — use Grep or Read with a line limit to extract the `"project"` section (name, description, languages, frameworks).

4. **Read layers** — Grep for `"layers"` to get the full layers array. These define the architecture and will structure the guide.

5. **Read the tour** — Grep for `"tour"` to get the guided walkthrough steps. These provide the recommended learning path.

6. **Read file-level structural nodes only** — use Grep to find nodes with file-level types (`file`, `config`, `document`, `service`, `pipeline`, `table`, `schema`, `resource`, `endpoint`) in the knowledge graph. Skip function-level and class-level nodes to keep the guide high-level. Extract each node's `name`, `filePath`, `summary`, and `complexity`.

7. **Identify complexity hotspots** — from the file-level nodes, find those with the highest `complexity` values. These are areas new developers should approach carefully.

8. **Generate the onboarding guide** with these sections:
   - **Project Overview**: name, languages, frameworks, description (from project metadata)
   - **Architecture Layers**: each layer's name, description, and key files (from layers + file nodes)
   - **Key Concepts**: important patterns and design decisions (from node summaries and tags)
   - **Guided Tour**: step-by-step walkthrough (from the tour section)
   - **File Map**: what each key file does (from file-level nodes, organized by layer)
   - **Complexity Hotspots**: areas to approach carefully (from complexity values)

9. Format as clean markdown
10. Offer to save the guide to `docs/UA_ONBOARDING.md` in the project
11. Suggest the user commit it to the repo for the team

© Egonex-AI · MIT · Egonex-AI/Understand-Anything

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