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Skills/egonex-ai/understand-anything/understand-onboard
understand-onboard logo

understand-onboard

egonex-ai/understand-anything
829 installs79K stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/egonex-ai/understand-anything --skill understand-onboard

Summary

Use when you need to generate an onboarding guide for new team members joining a project

SKILL.md

/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 $UA_DIR/knowledge-graph.json exists. If not, tell the user to run /understand first.
  1. Check graph freshness before using graph-derived context:
  • Read project.gitCommitHash from the graph metadata as GRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it with git rev-parse HEAD and inspect project-scoped committed and working-tree changes from the project root:
     GRAPH_COMMIT=$(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 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.
  1. Read project metadata — use Grep or Read with a line limit to extract the "project" section (name, description, languages, frameworks).
  1. Read layers — Grep for "layers" to get the full layers array. These define the architecture and will structure the guide.
  1. Read the tour — Grep for "tour" to get the guided walkthrough steps. These provide the recommended learning path.
  1. 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.
  1. Identify complexity hotspots — from the file-level nodes, find those with the highest complexity values. These are areas new developers should approach carefully.
  1. 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)
  1. Format as clean markdown
  2. Offer to save the guide to docs/ONBOARDING.md in the project
  3. Suggest the user commit it to the repo for the team

Score

0–100
65/ 100

Grade

C

Popularity17/30

829 installs — growing adoption. Source repo has 78,797 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Understand Onboard skill score badge previewScore badge

Markdown

[![Understand Onboard skill](https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-onboard/badges/score.svg)](https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-onboard)

HTML

<a href="https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-onboard"><img src="https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-onboard/badges/score.svg" alt="Understand Onboard skill"/></a>

Understand Onboard FAQ

How do I install the Understand Onboard skill?

Run “npx skills add https://github.com/egonex-ai/understand-anything --skill understand-onboard” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Understand Onboard skill do?

Use when you need to generate an onboarding guide for new team members joining a project The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Understand Onboard skill free?

Yes. Understand Onboard is a free, open-source skill published from egonex-ai/understand-anything. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Understand Onboard work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Understand Onboard works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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