by Egonex-AI
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
# Add to your Claude Code skills
git clone https://github.com/Egonex-AI/Understand-AnythingGuides for using ai agents skills like Understand-Anything.
Last scanned: 6/9/2026
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"status": "PASSED",
"scannedAt": "2026-06-09T07:48:24.856Z",
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}Understand-Anything is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Egonex-AI. Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. It has 76,747 GitHub stars.
Yes. Understand-Anything passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Egonex-AI/Understand-Anything" and add it to your Claude Code skills directory (see the Installation section above).
Understand-Anything is primarily written in TypeScript. It is open-source under Egonex-AI on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Understand-Anything against similar tools.
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You just joined a new team. The codebase is 200,000 lines of code. Where do you even start?
Understand Anything is a Claude Code Plugin that analyzes your project with a multi-agent pipeline, builds a knowledge graph of every file, function, class, and dependency, then gives you an interactive dashboard to explore it all visually. Stop reading code blind. Start seeing the big picture.
The goal isn't a graph that wows you with how complex your codebase is — it's a graph that quietly teaches you how every piece fits together.
[!NOTE] Want to skip the reading? Try the live demo in our homepage — a fully interactive dashboard you can pan, zoom, search, and explore right in your browser.
Navigate your codebase as an interactive knowledge graph — every file, function, and class is a node you can click, search, and explore. Select any node to see plain-English summaries, relationships, and guided tours.
Switch to the domain view and see how your code maps to real business processes — domains, flows, and steps laid out as a horizontal graph.
Point /understand-knowledge at a Karpathy-pattern LLM wiki and get a force-directed knowledge graph with community clustering. The deterministic parser extracts wikilinks and categories from index.md, then LLM agents discover implicit relationships, extract entities, and surface claims — turning your wiki into a navigable graph of interconnected ideas.
/plugin marketplace add Egonex-AI/Understand-Anything
/plugin install understand-anything
Using a local model? For privacy or enterprise setups, point your platform at a local model provider such as Ollama — follow their integration guide to change the model provider.
/understand
A multi-agent pipeline scans your project, extracts every file, function, class, and dependency, then builds a knowledge graph saved to .ua/knowledge-graph.json. (Projects that already have a .understand-anything/ directory keep using it — it stays the data directory when present, so nothing needs migrating.)
Heads up on token usage: The initial
/understandanalyzes your whole codebase and can consume a significant number of tokens on large projects. We recommend running it on a token plan / subscription, or using a local model (see above) for initialization. Subsequent runs are incremental by default — only changed files are re-analyzed — so they use far fewer tokens.
Localized output: Use --language to generate content in your preferred language:
# Generate Chinese content (知识图节点描述和 Dashboard UI)
/understand --language zh
# Supported languages: en (default), zh, zh-TW, ja, ko, ru
On the first run in a project — when you don't pass --language and no language is stored yet — /understand detects the language you're conversing in. If it isn't English, it asks you to confirm (or override) before generating; English conversations are unaffected. Your choice is saved to .ua/config.json and reused on every later run.
The --language parameter affects:
/understand-dashboard
An interactive web dashboard opens with your codebase visualized as a graph — color-coded by architectural layer, searchable, and clickable. Select any node to see its code, relationships, and a plain-English explanation.
# Ask anything about the codebase
/understand-chat How does the payment flow work?
# Analyze impact of your current changes
/understand-diff
# Deep-dive into a specific file or function
/understand-explain src/auth/login.ts
# Generate an onboarding guide for new team members
/understand-onboard
# Extract business domain knowledge (domains, flows, steps)
/understand-domain
# Analyze a Karpathy-pattern LLM wiki knowledge base
/understand-knowledge ~/path/to/wiki
# Re-run anytime — incremental by default (only re-analyzes changed files)
/understand
# Auto-update on every commit via a post-commit hook
/understand --auto-update
# Scope to a subdirectory (for huge monorepos)
/understand src/frontend
Understand-Anything works across multiple AI coding platforms.
/plugin marketplace add Egonex-AI/Understand-Anything
/plugin install understand-anything
macOS / Linux:
curl -fsSL https://raw.githubusercontent.com/Egonex-AI/Understand-Anything/main/install.sh | bash
# or skip the prompt by passing the platform:
curl -fsSL https://raw.githubusercontent.com/Egonex-AI/Understand-Anything/main/install.sh | bash -s codex
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Egonex-AI/Understand-Anything/main/install.ps1 | iex
The installer clones the repo to ~/.understand-anything/repo and creates the right symlinks for the chosen platform. Restart your CLI/IDE afterwards.
**Note on invoking skills