understand-onboard
Use when you need to generate an onboarding guide for new team members joining a project
How do I install this agent skill?
npx skills add https://github.com/egonex-ai/understand-anything --skill understand-onboardIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill is a documentation tool that generates onboarding guides by analyzing a project's local knowledge graph. It uses benign local shell commands for file navigation and search, with no evidence of malicious activity or data exfiltration.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
/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/ONBOARDING.mdin the project -
Suggest the user commit it to the repo for the team
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/egonex-ai/understand-anything/understand-onboard">View understand-onboard on skillZs</a>