understand-onboard
understand-onboard builds structured onboarding documentation by reading your project's knowledge graph to surface architecture layers, key files, design patterns, and complexity hotspots. It produces a guided walkthrough tailored to help new developers navigate the codebase efficiently. The generated guide can be saved to your repo for team reference.
understand-onboard generates comprehensive onboarding guides for new team members by extracting and organizing project knowledge from a knowledge graph.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-25
understand-onboard generates comprehensive onboarding guides for new team members by extracting and organizing project knowledge from a knowledge graph. understand-onboard builds structured onboarding documentation by reading your project's knowledge graph to surface architecture layers, key files, design patterns, and complexity hotspots. It produces a guided walkthrough tailored to help new developers navigate the codebase efficiently. The generated guide can be saved to your repo for team reference.
Use it when
- understand-onboard automates creation of developer orientation and ramp-up documentation by analyzing your project structure.
- Yes.
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Install
Egonex-AI/Understand-Anything/understand-onboard · repository language: TypeScript
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How does understand-onboard generate onboarding guide for new developers?
understand-onboard reads your project's knowledge graph to extract architecture layers, key files, design patterns, and complexity hotspots. It then structures this information into a guided walkthrough tailored to help new developers navigate the codebase efficiently. The generated guide surfaces the most critical concepts first, helping team members ramp up faster.
What documentation does understand-onboard create automatically?
understand-onboard automates creation of developer orientation and ramp-up documentation by analyzing your project structure. It produces comprehensive onboarding guides that include architecture overviews, learning paths through key concepts, complexity maps showing areas requiring careful study, and structured walkthroughs ready to save to your repo for team reference.
Can understand-onboard extract architecture layers for learning paths?
Yes. understand-onboard extracts and structures architecture layers and key concepts specifically to build effective learning paths. It identifies design patterns, dependency flows, and conceptual groupings within your codebase, then organizes them into a logical progression that helps new team members understand the system from foundational concepts through to complex interactions.
Does understand-onboard identify code complexity for new developers?
understand-onboard maps code complexity and identifies areas requiring careful study for new developers. It flags hotspots and intricate sections of the codebase so onboarding guides can direct attention where it matters most, helping new hires focus their learning effort on the most critical and challenging parts of the project.
How does understand-onboard ensure documentation stays current?
understand-onboard validates knowledge graph freshness against git history before generating guides. This check ensures that the onboarding material reflects your project's actual current state, preventing outdated or stale documentation from misleading new team members during their ramp-up period.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
/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[]}
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