
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)
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
What understand-onboard says it does
# /understand-onboard Generate a comprehensive onboarding guide from the project's knowledge graph.
Use Grep to search within the JSON for relevant entries BEFORE reading the full file 2.
npx skills add https://github.com/lum1104/understand-anything --skill understand-onboardAdd your badge
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| Installs | 1.3k |
|---|---|
| repo stars | ★ 77.5k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 30, 2026 |
| Repository | lum1104/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
/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.
- egonex-ai - 679 installs
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.