understand-anything-knowledge-graph

aradotso/trending-skills · updated May 22, 2026

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$npx skills add https://github.com/aradotso/trending-skills --skill understand-anything-knowledge-graph
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Skill by ara.so — Daily 2026 Skills collection.

skill.md

Understand Anything — Codebase Knowledge Graph

Skill by ara.so — Daily 2026 Skills collection.

Understand Anything is a Claude Code plugin that runs a multi-agent pipeline over your project, builds a knowledge graph of every file, function, class, and dependency, and opens an interactive React dashboard for visual exploration. It produces plain-English summaries of every node so anyone — developer, PM, or designer — can understand the codebase.


Installation

Via Claude Code plugin marketplace

/plugin marketplace add Lum1104/Understand-Anything
/plugin install understand-anything

From source (development)

git clone https://github.com/Lum1104/Understand-Anything
cd Understand-Anything
pnpm install
pnpm --filter @understand-anything/core build
pnpm --filter @understand-anything/skill build
pnpm --filter @understand-anything/dashboard build

Core Skills / Commands

Command What it does
/understand Run the full multi-agent analysis pipeline on the current project
/understand-dashboard Open the interactive knowledge graph dashboard
/understand-chat <question> Ask anything about the codebase in natural language
/understand-diff Analyze impact of current uncommitted changes
/understand-explain <path> Deep-dive explanation of a specific file or function
/understand-onboard Generate an onboarding guide for new team members

Typical Workflow

1. Analyze a project

# Inside any project directory, in Claude Code:
/understand

This orchestrates 5 agents in sequence (with file-analyzers running up to 3 concurrent):

  1. project-scanner — discovers files, detects languages/frameworks
  2. file-analyzer — extracts functions, classes, imports; builds graph nodes and edges
  3. architecture-analyzer — groups nodes into architectural layers (API, Service, Data, UI, Utility)
  4. tour-builder — generates ordered learning tours
  5. graph-reviewer — validates referential integrity

Output is saved to .understand-anything/knowledge-graph.json in your project root.

2. Open the dashboard

/understand-dashboard

The React + Vite dashboard opens in your browser. Features:

  • Graph view — React Flow canvas, color-coded by layer, zoom/pan
  • Node inspector — click any node for code, relationships, LLM summary
  • Search — fuzzy + semantic search across all nodes
  • Tours — guided walkthroughs ordered by dependency
  • Persona mode — toggle detail level (Junior Dev / PM / Power User)

3. Ask questions

/understand-chat How does authentication work in this project?
/understand-chat What calls the payment service?
/understand-chat Which files are most depended on?

4. Review diff impact before committing

# After making changes:
/understand-diff

Returns a list of affected nodes in the knowledge graph — shows ripple effects before you push.

5. Explain a specific file

/understand-explain src/auth/login.ts
/understand-explain src/services/PaymentService.ts

Knowledge Graph Schema

The graph is stored at .understand-anything/knowledge-graph.json. Key types (from packages/core):

// packages/core/src/types.ts

interface GraphNode {
  id: string;                    // unique: "file:src/auth/login.ts"
  type: "file" | "function" | "class" | "module";
  name: string;
  filePath: string;
  layer: ArchitectureLayer;      // "api" | "service" | "data" | "ui" | "utility"
  summary: string;               // LLM-generated plain-English description
  code?: string;                 // raw source snippet
  language?: string;
  concepts?: LanguageConcept[];  // e.g. "generics", "closures", "decorators"
  metadata?: Record<string, unknown>;
}

interface GraphEdge {
  id: string;
  source: string;                // node id
  target: string;                // node id
  type: "imports" | "calls" | "extends" | "implements" | "uses";
  label?: string;
}

interface KnowledgeGraph {
  version: string;
  generatedAt: string;
  projectRoot: string;
  nodes: GraphNode[];
  edges: GraphEdge[];
  tours: GuidedTour[];
}

type ArchitectureLayer = "api" | "service" | "data" | "ui" | "utility" | "unknown";

type LanguageConcept =
  | "generics"
  | "closures"
  | "decorators"
  | "async-await"
  | "interfaces"
  | "higher-order-functions"
  | "dependency-injection"
  | "observers"
  | "iterators"
  | "pattern-matching"
  | "monads"
  | "currying";

Working with the Core Package Programmatically

import { loadKnowledgeGraph, searchGraph, buildTour } from "@understand-anything/core";

// Load the persisted graph
const graph = await loadKnowledgeGraph(".understand-anything/knowledge-graph.json");

// Fuzzy search across all nodes
const results = searchGraph(graph, "payment processing");
console.log(results.map(r => `${r.type}:${r.name} (${r.filePath})`));

// Find all callers of a function
const paymentNode = graph.nodes.find(n => n.name === "processPayment");
const callers = graph.edges
  .filter(e => e.target === paymentNode?.id && e.type === "calls")
  .map(e => graph.nodes.find(n => n.id === e.source));

// Get all nodes in the service layer
const serviceNodes = graph.nodes.filter(n => n.layer === "service");

// Build a guided tour starting from a specific node
const tour = buildTour(graph, { startNodeId: "file:src/index.ts" });
tour.steps.forEach((step, i) => {
  console.log(`Step ${i + 1}: ${step.node.name}${step.node.summary}`);
});

Dashboard Development

# Start the dashboard dev server (hot reload)
pnpm dev:dashboard

# Build for production
pnpm --filter @understand-anything/dashboard build

The dashboard is a Vite + React 18 app using:

  • React Flow — graph canvas rendering
  • Zustand — graph state management
  • TailwindCSS v4 — styling
  • Fuse.js — fuzzy search
  • web-tree-sitter — in-browser AST parsing
  • Dagre — automatic graph layout

Project Structure

understand-anything-plugin/
├── .claude-plugin/          # Plugin manifest (read by Claude Code)
├── agents/                  # Agent definitions (project-scanner, file-analyzer, etc.)
├── skills/                  # Skill definitions (/understand, /understand-chat, etc.)
├── src/                     # 
how to use understand-anything-knowledge-graph

How to use understand-anything-knowledge-graph on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add understand-anything-knowledge-graph
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aradotso/trending-skills --skill understand-anything-knowledge-graph

The skills CLI fetches understand-anything-knowledge-graph from GitHub repository aradotso/trending-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/understand-anything-knowledge-graph

Reload or restart Cursor to activate understand-anything-knowledge-graph. Access the skill through slash commands (e.g., /understand-anything-knowledge-graph) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.835 reviews
  • Rahul Santra· Nov 23, 2024

    I recommend understand-anything-knowledge-graph for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Pratham Ware· Oct 14, 2024

    Useful defaults in understand-anything-knowledge-graph — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Sep 9, 2024

    understand-anything-knowledge-graph has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kiara Brown· Sep 9, 2024

    understand-anything-knowledge-graph reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Meera Robinson· Sep 1, 2024

    Keeps context tight: understand-anything-knowledge-graph is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Min Desai· Sep 1, 2024

    understand-anything-knowledge-graph has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chaitanya Patil· Aug 28, 2024

    Solid pick for teams standardizing on skills: understand-anything-knowledge-graph is focused, and the summary matches what you get after install.

  • Meera Martinez· Aug 28, 2024

    Registry listing for understand-anything-knowledge-graph matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Meera Taylor· Aug 20, 2024

    understand-anything-knowledge-graph is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Xiao Okafor· Aug 20, 2024

    Solid pick for teams standardizing on skills: understand-anything-knowledge-graph is focused, and the summary matches what you get after install.

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