Send structured JSON payloads to the Ray desktop debugging tool via its local HTTP API.
npx skills add https://github.com/freekmurze/dotfiles --skill ray-skill
Please help me install this Agent Skill. Skill: ray-skill Source: https://github.com/freekmurze/dotfiles/tree/main/config/claude/skills/ray-skill Command: npx skills add https://github.com/freekmurze/dotfiles --skill ray-skill
Ray provides a straightforward way to visualize, inspect, and diagnose runtime data by sending structured payloads to the Ray desktop app over a local HTTP API. This enables developers to see logs, tables, and diagrams in real time without scattering debugging output across logs.
Start Ray on your desktop, ensure it is running and listening on http://localhost:23517/, and begin sending payloads from your app or via curl.
High-intent search queries and answers about installing and using this skill.
To send runtime data to Ray for visual debugging, you send structured JSON payloads containing uuid, payloads, and optional meta to the local HTTP API at localhost:23517. This allows you to visualize logs and tables from PHP or Node.js in real time.
Visualizing runtime debugging output without cluttering application logs is done by sending structured payloads like log, table, color, and label directly to the Ray desktop app. This provides interactive exploration of telemetry over a local HTTP API.
Visual debugging with Ray requires the Ray desktop application to be running and listening on your local machine at http://localhost:23517/. Your application sends JSON payloads to this local HTTP API endpoint to display the debugging output.
Yes, you can send structured data like tables and custom labels to Ray for inspection. The skill supports common payload types including log, table, color, label, and notify, enabling immediate visualization and interactive exploration of your runtime data.
The payload types supported when sending data to Ray over the local HTTP API include log, table, color, label, and notify. These payloads are structured using a simple JSON schema with a uuid, payloads array, and optional meta object.
Using Ray for visual debugging instead of standard application logs prevents scattering debug output across text files. It enables developers to see logs, tables, and diagrams in real time, providing a straightforward way to inspect and diagnose runtime data visually.
freekmurzeSend structured JSON payloads to the Ray desktop debugging tool via its local HTTP API.
jwyniaDiagnose architectural problems and guide design decisions for solo developers.
claudioborjaImplement structured JSON logging with request-scoped context for PHP applications.
The-RabakCoordinate bug reproduction across logs, console output, and browser screenshots.
