Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
lum1104 avatar

Understand Onboard

  • 1.3k installs
  • 77.5k repo stars
  • Updated July 30, 2026
  • lum1104/understand-anything

understand-onboard provides documented workflows for Use when you need to generate an onboarding guide for new team members joining a project

About

The understand-onboard skill 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.

  • `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

Understand Onboard by the numbers

  • 1,263 all-time installs (skills.sh)
  • +31 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #76 of 911 Databases skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

understand-onboard capabilities & compatibility

Capabilities
`project` {name, description, languages, frame · `nodes[]` each has {id, type, name, filepath?, · code node types: file, function, class, module, · non code node types: config, document, service, · domain/knowledge node types: domain, flow, step,
Use cases
documentation
From the docs

What understand-onboard says it does

# /understand-onboard Generate a comprehensive onboarding guide from the project's knowledge graph.
SKILL.md
Use Grep to search within the JSON for relevant entries BEFORE reading the full file 2.
SKILL.md
npx skills add https://github.com/lum1104/understand-anything --skill understand-onboard

Add your badge

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

Listed on Skillselion
Installs1.3k
repo stars77.5k
Security audit3 / 3 scanners passed
Last updatedJuly 30, 2026
Repositorylum1104/understand-anything

How do I use understand-onboard for the task described in its SKILL.md triggers?

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

Who is it for?

Teams invoking understand-onboard when the user request matches documented triggers and prerequisites.

Skip if: Skip when cached docs are missing, the request is a negative trigger, or another sibling skill owns the workflow.

When should I use this skill?

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

What you get

Step-by-step guidance grounded in understand-onboard documentation and reference files.

  • Onboarding guide document

By the numbers

  • Covers 5 code node types and 8 non-code node types
  • Includes domain, flow, and step knowledge node types

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

Forks & variants (1)

Understand Onboard has 1 known copy in the catalog totaling 679 installs. They canonicalize to this original listing.

How it compares

Pick understand-onboard when a knowledge graph already exists; use manual doc skills when no graph analysis has been run.

FAQ

What does understand-onboard do?

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

When should I use understand-onboard?

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

What are common prerequisites?

--- 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 kn

Is Understand Onboard safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

Databasesdatabasespipelines

This week in AI coding

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

unsubscribe anytime.