Automate Excalidraw scene setup and verification for RLVR environments.
npx skills add https://github.com/xlang-ai/CUA-Gym --skill excalidraw-xlang-ai
Please help me install this Agent Skill. Skill: excalidraw Source: https://github.com/xlang-ai/CUA-Gym/tree/main/.claude/skills/excalidraw Command: npx skills add https://github.com/xlang-ai/CUA-Gym --skill excalidraw-xlang-ai
This Skill automates the setup and verification of Excalidraw whiteboard states, enabling efficient creation of verifiable RLVR training environments.
Set up the initial Excalidraw scene with elements and load it into a running instance.
High-intent search queries and answers about installing and using this skill.
Automating Excalidraw scene manipulation involves using Python scripts with Playwright CDP to programmatically set up and verify visual whiteboard states for verifiable RLVR training environments.
Yes, scene verification in Excalidraw can be automated by checking the JSON-based scene state against expected visual elements after an agent performs actions within a reinforcement learning loop.
You can programmatically set up an initial flowchart scene by defining the elements in JSON format and loading the scene data into a running Excalidraw instance using Playwright CDP.
Python-based Excalidraw automation works directly with Playwright CDP to establish browser control, allowing you to manipulate JSON scene elements and validate visual states for RLVR tasks.
Using Playwright CDP for Excalidraw scene setup requires a running browser instance and depends on JSON-based scene manipulation, meaning it is tailored for visual state validation rather than native canvas rendering.
JSON-based scene manipulation in Excalidraw is needed when you require automated setup and verification of complex visual states, specifically for creating verifiable training environments in reinforcement learning tasks.
markwang2658Generate Excalidraw diagrams from a JSON elements array and export as .excalidraw files.
forgivesam168Convert natural language descriptions into Excalidraw-compatible JSON diagram files.
Progery222Store, retrieve, and analyze agent experiences using vector embeddings for reinforcement learning.
DiologIRCompare rendered web and React Native UIs against reference mockups.
