Agent skill

Project Onboarding Guide from Knowledge Graph

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

Writes an onboarding guide for new team members from a project's existing knowledge graph, after checking that the graph still matches the current commit.

MITAuto-check passedDevelopment

Install Project Onboarding Guide from Knowledge Graph

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

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

GitHub CLI
$ gh skill install Egonex-AI/Understand-Anything understand-onboard --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-onboard .claude/skills/understand-onboard && 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-onboard
GitHub stars
86k
Token cost
~1.2k tokens
SKILL.md length
633 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Writes an onboarding guide for new team members from a project's existing knowledge graph, after checking that the graph still matches the current commit.

  • 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… → …
  • Preparing an onboarding document for engineers joining a project
  • SKILL.md covers Graph Structure Reference, How to Read Efficiently and Instructions
  • Calls git

What it does

This skill produces an onboarding guide from an existing knowledge graph of the project instead of reading the code from scratch. It expects `knowledge-graph.json` in the `.understand-anything/` folder (or the newer `.ua/` one) and tells you to run `/understand` first if it is missing. The graph holds project metadata, typed nodes (code, configuration, document, service, table, domain and knowledge types), edges such as imports and calls, layers and a guided tour.

To keep context small, the agent searches the JSON with Grep before reading and concentrates on node names, summaries and the edges that show dependencies. It also checks freshness: it reads the commit hash stored in the graph, compares it with the current HEAD and inspects project-scoped changes, so that commits touching only a sibling monorepo project do not make the graph look stale. The excerpt ends before the guide-writing steps.

When your agent uses it

  • Preparing an onboarding document for engineers joining a project
  • Explaining a codebase's layers and key components to a new hire
  • Checking whether an existing knowledge graph is still current

Example prompts

  • “Generate an onboarding guide for new engineers joining this project.”
  • “Write a guide for a new hire from the knowledge graph, starting with the main layers.”
  • “Is the knowledge graph still current? If so, build an onboarding guide from it.”

Requirements

  • A knowledge graph file created by the `/understand` command
  • Git, for the freshness check

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 000fbf3. 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

Project Onboarding Guide from Knowledge Graph loads about 1.2k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 633 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
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 000fbf3, republished under its MIT licence (© Egonex-AI). 633 words, ~1,247 tokens.

Download SKILL.mdSave it as .claude/skills/understand-onboard/SKILL.md (or your agent's skills folder).
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. 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-onboard of Egonex-AI/Understand-Anything.

Open the folder on GitHubat commit 000fbf3

Compare with similar skills

Project Onboarding Guide from Knowledge Graph 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.

Project Onboarding Guide from Knowledge Graph compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Project Onboarding Guide from Knowledge Graph this skillEgonex-AI/Understand-Anything86k—~1.2kAutomated 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
Deepwiki Rssopaco/deepwiki-rs3.1k—~748Automated safety check: PassMIT
Codex Proxy RS Development Guidezyycn/codex-proxy-rs788—~618Automated safety check: PassApache-2.0

Similar skills

  • Explore Codebase with Graph

    tirth8205/code-review-graph

    Navigates a codebase through the code-review-graph MCP tools: architecture overview, symbol search, caller and callee tracing, flows and oversized functions.

    32k GitHub starsUsed in 1 repo~335 tokens
    DevelopmentAuto-check passed
  • Acquire Codebase Knowledge

    github/awesome-copilot

    Official

    Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.

    40k GitHub starsUsed in 1 repo~2.3k tokens
    DevelopmentAuto-check passed
  • Compass

    crabbuild/compass

    A skill your agent uses for graph-first AI coding sessions and repository analysis: session initialization, architecture maps, dependency or call-graph tracing, symbol and repository search…

    171 GitHub stars~5k tokensUpdated 8 days ago
    DevelopmentAuto-check passed
  • Deepwiki Rs

    sopaco/deepwiki-rs

    AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation.

    3.1k GitHub stars~748 tokensUpdated 27 days ago
    DevelopmentAuto-check passed
  • Routes development, troubleshooting, review and documentation tasks on the Codex Proxy RS repository to the right section of its docs, instead of loading the whole architecture or contributing guide.

    788 GitHub stars~618 tokensUpdated today
    DevelopmentAuto-check passed
  • Githits Code

    githits-com/githits-cli

    A skill your agent uses whenever invoking the GitHits CLI for open-source code, documentation, or example evidence, including code search/grep, file navigation, source verification, docs lookup, or…

    115 GitHub stars~2.6k tokensUpdated 2 days ago
    DevelopmentAuto-check passed

More from Egonex-AI/Understand-Anything

  • Codebase Knowledge Graph Q&A

    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.

    86k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

    86k GitHub stars~1.4k tokensUpdated today
    Auto-check passed
  • Understand Explain

    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.

    86k GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Codebase Domain Flow Extractor

    Egonex-AI/Understand-Anything

    Extracts business domains, flows and process steps from a codebase and produces an interactive horizontal flow graph, reusing an existing knowledge graph when one exists.

    86k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Figma Design Knowledge Graph

    Egonex-AI/Understand-Anything

    Scans a Figma file through the Figma REST API and builds an interactive knowledge graph of its pages, screens, components and tokens for the design dashboard.

    86k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • LLM Wiki Knowledge Graph

    Egonex-AI/Understand-Anything

    Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.

    86k GitHub stars~1.5k tokensUpdated today
    Auto-check passed

Questions about Project Onboarding Guide from Knowledge Graph

What does Project Onboarding Guide from Knowledge Graph do?

Writes an onboarding guide for new team members from a project's existing knowledge graph, after checking that the graph still matches the current commit. This skill produces an onboarding guide from an existing knowledge graph of the project instead of reading the code from scratch.ua/` one) and tells you to run `/understand` first if it is missing.

When should I use Project Onboarding Guide from Knowledge Graph?

Project Onboarding Guide from Knowledge Graph fits situations like: preparing an onboarding document for engineers joining a project; explaining a codebase's layers and key components to a new hire; checking whether an existing knowledge graph is still current.

How do I install Project Onboarding Guide from Knowledge Graph in Claude Code?

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

How do I install Project Onboarding Guide from Knowledge Graph in Codex?

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

Can I use Project Onboarding Guide from Knowledge Graph 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-onboard -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-onboard, .gemini/skills/understand-onboard, .github/skills/understand-onboard and .opencode/skills/understand-onboard in your project.

What does Project Onboarding Guide from Knowledge Graph need to run?

Going by SKILL.md and its folder, Project Onboarding Guide from Knowledge Graph needs the command-line tools its instructions call (git). Our summary lists: A knowledge graph file created by the `/understand` command; Git, for the freshness check.

Does Project Onboarding Guide from Knowledge Graph 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 Project Onboarding Guide from Knowledge Graph 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 Project Onboarding Guide from Knowledge Graph use?

Project Onboarding Guide from Knowledge Graph 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 Project Onboarding Guide from Knowledge Graph use?

About 1.2k 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 Project Onboarding Guide from Knowledge Graph?

Skills that share tags, products or a category with Project Onboarding Guide from Knowledge Graph: Explore Codebase with Graph (tirth8205/code-review-graph, 32k stars), Acquire Codebase Knowledge (github/awesome-copilot, 40k stars), Compass (crabbuild/compass, 171 stars) and Deepwiki Rs (sopaco/deepwiki-rs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Project Onboarding Guide from Knowledge Graph?

Egonex-AI (a GitHub organization) maintains it in Egonex-AI/Understand-Anything, which has 85,866 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 10, 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.