
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)
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| Installs | 679 |
|---|---|
| repo stars | ★ 77.5k |
| Last updated | July 30, 2026 |
| Repository | egonex-ai/understand-anything ↗ |
What it does
Helps with ai & agent building tasks.
Files
/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