revanthpobala/skill-atlas

<div align="center"> <img src="https://raw.githubusercontent.com/revanthpobala/skill-atlas/main/public/logo.svg" alt="Skill Atlas Logo" width="120" /> <h1>Skill Atlas Workbench</h1> </div>

Launch Application:

• Access on Vercel
• Access on Netlify

Introduction & Purpose

As AI agents and LLM-based systems scale in complexity, they often rely on dozens of interconnected, specialized markdown instructions (known as "skills"). Managing these skills as flat text files across a codebase quickly becomes unmanageable—leading to broken dependencies, circular logic, and context window bloat.

Skill Atlas is a standalone, serverless IDE designed specifically to solve this problem. It parses your entire skill repository and automatically constructs a visual Directed Acyclic Graph (DAG).

By treating your agent's instructions as a compiled dependency tree, Skill Atlas allows you to:

• Visually map the execution path and dependencies between different LLM instructions.
• Ensure strict compliance with Anthropic and OpenAI guidelines for atomic, composable skills.
• Safely edit markdown skills in the browser and securely push them directly back to GitHub as Pull Requests.

<details> <summary><b>View Visual Feature Tour</b></summary> <br/>

1. Bring Your Own LLM (BYOK) <br/> <img src="https://raw.githubusercontent.com/revanthpobala/skill-atlas/main/public/showcase-1.png" alt="AI Provider Settings" width="800" /> <br/> <i>Securely configure your own OpenAI or Anthropic API keys directly in the browser. Keys are stored locally, unlocking advanced AI diagnostics and skill analysis without sending credentials to any central server.</i>

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2. Real-time Analytics & Token Limits <br/> <img src="https://raw.githubusercontent.com/revanthpobala/skill-atlas/main/public/showcase-2.png" alt="Token Limits" width="800" /> <br/> <i>The Node Context panel comput