Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
egonex-ai avatar

Understand Onboard

  • 679 installs
  • 77.5k repo stars
  • Updated July 30, 2026
  • egonex-ai/understand-anything

This is a copy of understand-onboard by lum1104 - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

understand-onboard is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • understand-onboard
  • AI & Agent Building
  • AI-coding skill

Understand Onboard by the numbers

  • 679 all-time installs (skills.sh)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/egonex-ai/understand-anything --skill understand-onboard

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs679
repo stars77.5k
Last updatedJuly 30, 2026
Repositoryegonex-ai/understand-anything

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

/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. Check that .understand-anything/knowledge-graph.json exists. If not, tell the user to run /understand first.

2. Read project metadata — use Grep or Read with a line limit to extract the "project" section (name, description, languages, frameworks).

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

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

5. 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.

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

7. 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)

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

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.