understand-onboard
Use when you need to generate an onboarding guide for new team members joining a project
Install / Use
npx skills add Egonex-AI/Understand-Anything --skill understand-onboardInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of understand-onboard
understand-onboard scores 87/100 on our quality scale, 97th of 305 Content & Media skills we index (top 32%).
Its SKILL.md is 4.9 KB long, split into 4 sections and no code examples: a solid amount of guidance for an agent.
With 84,018 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 13 days ago, so understand-onboard is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
understand-onboard compared with similar skills
All 4 of these similar skills score higher than understand-onboard; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| understand-onboard (this skill)by Egonex-AI | 87 | 84.0k | 13d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 9d ago | CLAUDE.md |
| siyuanby siyuan-note | 100 | 46.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
Frequently asked questions
- How do I install understand-onboard?
- Run
npx skills add Egonex-AI/Understand-Anything --skill understand-onboard. The install tabs above show the steps for each supported agent. - Which AI agents does understand-onboard work with?
- It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is understand-onboard safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is understand-onboard still maintained?
- The repository was last updated 13 days ago, so understand-onboard is actively maintained.
Skill content
View source on GitHubname: 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
Related Skills
Agent-Reach
85.4kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
siyuan
46.5kAn open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
pptx
177.9kUse this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an em…
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
