Rechercher

PythonReactSEOPDF

rubys AI Skills

GitHub ↗

Explorez les skills IA publiés de rubys et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

7

Étoiles des dépôts des skills indexés

245

Forks du dépôt

42

Moyenne des étoiles par skill indexé

35

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

7 skills

Explorer

GitHub

navigator

rubys

Working with the Navigator Go submodule for web server fixes and enhancements. Use when deployment plans require Navigator changes, config parsing issues arise, or new routing/proxy behavior is needed.

GitHub

testing

rubys

Information about running tests, test coverage, and known testing issues in the Rails application. Use when the user asks about testing procedures, encounters test failures, wants to know about coverage, or nee...

GitHub

deployment

rubys

Deployment architecture, multi-tenancy design, and environment-specific deployment commands. Use when the user asks about how the application is deployed, multi-tenant architecture with Navigator, Fly.io deploy...

GitHub

database

rubys

Database management commands and the bin/run utility for executing Ruby scripts against specific event databases. Use when the user needs to query, manipulate, or run scripts against existing databases without...

GitHub

fly-ssh

rubys

Use when asked to run "fly ssh console", SSH into Fly.io machines, inspect files on production machines, check processes on Fly.io, or examine deployed machine state. Covers critical pitfalls like no shell supp...

GitHub

render-page

rubys

Use this skill to inspect what a Rails page currently displays, extract HTML content, or verify rendering WITHOUT starting a dev server. Useful for understanding page output before making changes, debugging vie...

GitHub

compare-erb-js

rubys

Compare ERB and JavaScript template outputs for the offline scoring SPA. Use when working on ERB-to-JS conversion, debugging template parity issues, or verifying that changes to scoring views work correctly in...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.