Claude Marketplaces
SkillsMCP serversMarketplacesDigestTools
Submit

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP servers by category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control
Claude Marketplaces

An independent directory of skills, plugins and MCP servers for Claude Code. Not affiliated with Anthropic.

Browse

  • Skills
  • MCP servers
  • Marketplaces
  • Weekly digest
  • Skill index
  • MCP index
  • Marketplace index

Site

  • About
  • Tools
  • Submit
  • Feedback
  • Privacy
  • llms.txt
  • Plugins reference

Maker

  • Snug
  • Agent Caffeine
  • knobs
  • Wax
  • Vectoys
  • mertduzgun.com
Made by mertduzgun.com
Skills/Documentation
egonex-ai avatar

Understand Onboard

egonex-ai/understand-anything

Turns knowledge graphs into actual onboarding docs. It reads the graph JSON that /understand generates and pulls out project metadata, architecture layers, the guided tour, and file-level nodes while skipping granular function details to keep things digestible. Then it builds a structured markdown guide with project overview, layer breakdown, key concepts, a walkthrough, file map, and complexity hotspots so new developers know where to tread carefully. The smart part is it uses grep to search the JSON instead of dumping everything into context, which keeps it fast. Outputs to docs/ONBOARDING.md and you can commit it so the next person doesn't have to bug you with setup questions.

installs
3.8K
GitHub stars
88.4K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add egonex-ai/understand-anything --skill understand-onboard --agent claude-code

Installs into .claude/skills of the current project.

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. Resolve the data directory $UA_DIR. Run UA_DIR=$([ -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.json exists. If not, tell the user to run /understand first.

  2. Check graph freshness before using graph-derived context:

    • Read project.gitCommitHash from the graph metadata as GRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it with git rev-parse HEAD and 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 /understand to refresh the graph.
    • Run the commit diff only when GRAPH_COMMIT_RAW resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
  3. Read project metadata — use Grep or Read with a line limit to extract the "project" section (name, description, languages, frameworks).

  4. Read layers — Grep for "layers" to get the full layers array. These define the architecture and will structure the guide.

  5. Read the tour — Grep for "tour" to get the guided walkthrough steps. These provide the recommended learning path.

  6. 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.

  7. Identify complexity hotspots — from the file-level nodes, find those with the highest complexity values. These are areas new developers should approach carefully.

  8. 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)
  9. Format as clean markdown

  10. Offer to save the guide to docs/UA_ONBOARDING.md in the project

  11. Suggest the user commit it to the repo for the team

SKILL.md on GitHub

Sponsors

CodeRabbitSponsoredAI writes the code. CodeRabbit catches the slop.SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workknobsSee your site on any phone, any day, in any languagebelt - the only tool your agent needsSponsoredbelt cli automatically finds the best tools and skills for your agent. image, video, music, tts...Open StepsSponsoredFree an open-source skills that make AI coding agents easier to understand, verify, and control.AppSignalSponsoredMonitor with ease. Code with confidence.WaxBlock anything with supervision, without erasing your iPhone

Details

Repository
github.com/egonex-ai/understand-anything
Category
Documentation
First seen
Jun 11, 2026

More from egonex-ai/understand-anything

All 8
  • Understand Diff3.6K
  • Understand Domain3.6K
  • Understand Knowledge3.5K
  • Understand5.3K
  • Understand Explain3.9K
  • Understand Dashboard3.8K
  • Understand Chat3.8K

Recommended

More Documentation
1nrwl avatarnx-generatenrwl/nx-ai-agents-configGenerate code using nx generators. INVOKE IMMEDIATELY when user mentions scaffolding, setup, structure, creating apps/libs, or setting up project structure. Tri3.8Kinstalls
2giuseppe-trisciuoglio avatarunit-test-parameterizedgiuseppe-trisciuoglio/developer-kitProvides parameterized testing patterns with JUnit 5, generates data-driven unit tests using @ParameterizedTest, @ValueSource, @CsvSource, @MethodSource. Create3.8Kinstalls
3giuseppe-trisciuoglio avatarunit-test-json-serializationgiuseppe-trisciuoglio/developer-kitProvides patterns for unit testing JSON serialization/deserialization with Jackson and `@JsonTest`. Validates JSON mapping, custom serializers, date formats, an3.8Kinstalls
4langgenius avatarfrontend-testinglanggenius/difyUse when writing or changing Vitest or React Testing Library tests under `web/` or `packages/dify-ui/`, or when the user explicitly requests frontend test strat3.8Kinstalls
5dotnet avatarmsbuild-modernizationdotnet/skillsGuide for modernizing and migrating MSBuild project files to SDK-style format. USE FOR: converting legacy .csproj/.vbproj with verbose XML to SDK-style, migrati3.8Kinstalls
6dpearson2699 avatarcore-bluetoothdpearson2699/swift-ios-skillsBuild direct Bluetooth Low Energy workflows with Core Bluetooth. Use when implementing BLE central or peripheral GATT communication, scanning or connecting with3.7Kinstalls