Skip to content
SkillCheatSheet Sign in

Egonex-AI/Understand-Anything

Agent skills in the GitHub repository Egonex-AI/Understand-Anything, each with its code score out of 100.

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.

Repository score
67 / 100 C
Skills
9
Verified
0
Average skill score
66
GitHub stars
92,258
License
MIT

Open Egonex-AI/Understand-Anything on GitHub

9 skills in this repository

  1. understand-figma

    Analyze a Figma file via the Figma REST API and generate an interactive design knowledge graph (pages, screens, components, component sets, instances, design tokens) with a kind:"…

    74B
  2. understand-knowledge

    Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.

    74B
  3. understand-domain

    Extract business domain knowledge from a codebase and generate an interactive domain flow graph. Works standalone (lightweight scan) or derives from an existing /understand knowle…

    69C
  4. understand-diff

    Use when you need to analyze git diffs or pull requests to understand what changed, affected components, and risks

    65C
  5. understand-onboard

    Use when you need to generate an onboarding guide for new team members joining a project

    63C
  6. understand

    Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

    62C
  7. understand-chat

    Use when you need to ask questions about a codebase or understand code using a knowledge graph

    62C
  8. understand-explain

    Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

    62C
  9. understand-dashboard

    Launch the interactive web dashboard to visualize a codebase's knowledge graph

    59C

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.