understand-onboard
egonex-ai/understand-anything
Generate comprehensive onboarding guides from your project's knowledge graph.
What is understand-onboard?
Automatically creates structured onboarding documentation for new team members by analyzing your project's architecture, dependencies, and design patterns. Use this when you need to quickly document how a project is organized and where to start learning.
- Extracts project metadata, architecture layers, and key files from the knowledge graph
- Identifies complexity hotspots and areas requiring careful attention
- Generates a guided walkthrough following the recommended learning path
- Organizes file maps by architectural layer for clarity
- Checks graph freshness against current Git state to warn of stale content
- Formats output as clean markdown ready for team documentation
How to install understand-onboard
npx skills add https://github.com/egonex-ai/understand-anything --skill understand-onboard- Project must have a knowledge graph generated by running `/understand` first
- Knowledge graph file at `.ua/knowledge-graph.json` or `.understand-anything/knowledge-graph.json`
How to use understand-onboard
- 1.Run `/understand` to generate the project knowledge graph if not already present
- 2.Execute the skill to analyze the graph and generate the onboarding guide
- 3.Review the generated markdown output for accuracy and completeness
- 4.Optionally save to `docs/UA_ONBOARDING.md` in your project
- 5.Commit the guide to your repository for team access
Use cases
- Onboarding a new engineer joining a project
- Documenting architecture for a team handoff or knowledge transfer
- Creating a reference guide for understanding project structure and dependencies
- Preparing documentation before a code review or audit
- Establishing a learning path for junior developers on a complex codebase
- Engineering leads and tech leads
- Project maintainers
- Team members preparing onboarding materials
- Developers joining a new project
understand-onboard FAQ
The skill checks graph freshness by comparing the graph's commit hash against your current HEAD. If project files have changed since the graph was generated, it warns you and suggests running `/understand` to refresh.
It uses file-level structural nodes (files, configs, documents, services, pipelines) organized by architectural layers, plus the guided tour steps defined in your knowledge graph. Function and class-level details are skipped to keep the guide high-level.
The skill generates clean markdown that you can edit before committing. You can modify sections, add examples, or reorganize content to match your team's preferences.
These are files and components with high complexity scores in the knowledge graph. The guide highlights them so new developers know which areas require careful study and may need mentoring.
The skill suggests saving to `docs/UA_ONBOARDING.md` in your project root, making it discoverable and easy to version control with your codebase.
Full instructions (SKILL.md)
Source of truth, from egonex-ai/understand-anything.
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 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
- Use Grep to search within the JSON for relevant entries BEFORE reading the full file
- Only read sections you need — don't dump the entire graph into context
- Node names and summaries are the most useful fields for understanding
- Edges tell you how components connect — follow imports and calls for dependency chains
Instructions
-
Resolve the data directory
$UA_DIR. RunUA_DIR=$([ -d .understand-anything ] && echo .understand-anything || echo .ua)— this is the legacy.understand-anything/when it already exists, otherwise the new.ua/. Check that$UA_DIR/knowledge-graph.jsonexists. If not, tell the user to run/understandfirst. -
Check graph freshness before using graph-derived context:
- Read
project.gitCommitHashfrom the graph metadata asGRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it withgit rev-parse HEADand inspect project-scoped committed and working-tree changes from the project root:GRAPH_COMMIT=$(git rev-parse --verify --end-of-options "${GRAPH_COMMIT_RAW}^{commit}" 2>/dev/null) git rev-parse HEAD git diff --name-only "$GRAPH_COMMIT" HEAD -- . git diff --cached --name-only -- . git diff --name-only -- . git ls-files --others --exclude-standard -- . - The
-- .pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty. - Ignore the selected data directory (
.ua/or legacy.understand-anything/) in every command's output because it contains generated graph artifacts, not project source drift. - If the committed diff or any working-tree command reports project files, warn before generating the guide that onboarding content may omit those changes. Suggest: Run
/understandto refresh the graph. - Run the commit diff only when
GRAPH_COMMIT_RAWresolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
- Read
-
Read project metadata — use Grep or Read with a line limit to extract the
"project"section (name, description, languages, frameworks). -
Read layers — Grep for
"layers"to get the full layers array. These define the architecture and will structure the guide. -
Read the tour — Grep for
"tour"to get the guided walkthrough steps. These provide the recommended learning path. -
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'sname,filePath,summary, andcomplexity. -
Identify complexity hotspots — from the file-level nodes, find those with the highest
complexityvalues. These are areas new developers should approach carefully. -
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)
-
Format as clean markdown
-
Offer to save the guide to
docs/UA_ONBOARDING.mdin the project -
Suggest the user commit it to the repo for the team
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