solid-queue-setup

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Source

Configures Solid Queue for background jobs in Rails 8. Use when setting up background processing, creating background jobs, configuring job queues, or migrating from Sidekiq to Solid Queue.

Install

mkdir -p .claude/skills/solid-queue-setup && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5114" && unzip -o skill.zip -d .claude/skills/solid-queue-setup && rm skill.zip

Installs to .claude/skills/solid-queue-setup

About solid-queue-setup

solid-queue-setup is a specialized agent skill created by ThibautBaissac that extends AI coding assistants with enhanced capabilities. Agent skills provide context, workflows, and specialized knowledge that help AI assistants perform specific tasks more effectively than general-purpose AI alone.

Configures Solid Queue for background jobs in Rails 8. Use when setting up background processing, creating background jobs, configuring job queues, or migrating from Sidekiq to Solid Queue.

How to use solid-queue-setup

Once installed, solid-queue-setup becomes available in your AI coding environment automatically. Your AI assistant will use the skill's instructions and knowledge whenever relevant tasks arise in your workflow. You can install it at the project level (available only in a specific project) or globally (available across all your projects).

Use the install panel on this page to copy a one-line command for your preferred AI client. The skill files are downloaded and placed in the appropriate directory — no additional configuration is required.

Compatible AI clients

solid-queue-setup works with multiple AI coding assistants including Cursor, Claude Code, Codex, Copilot, and other agents that support the skills format. Each client stores skills in a slightly different directory, but the installation command handles this automatically.

What are agent skills?

Agent skills are reusable instruction sets that give AI coding assistants new capabilities. Unlike MCP servers that provide tools and API connections, skills provide context, workflows, and domain-specific knowledge. Think of skills as specialized training for your AI assistant — they help it understand particular frameworks, coding patterns, or development workflows.

Browse more skills in the skills directory or check out the leaderboard to see the most popular skills.

About the author

ThibautBaissac has published 7 skills on MCP.Directory. Browse their full catalog to discover complementary skills for your workflow.

rails-controller

ThibautBaissac

Creates Rails controllers with TDD approach - request spec first, then implementation. Use when creating new controllers, adding controller actions, implementing CRUD operations, or when user mentions controllers, routes, or API endpoints.

00

tdd-cycle

ThibautBaissac

Guides Test-Driven Development workflow with Red-Green-Refactor cycle. Use when the user wants to implement a feature using TDD, write tests first, follow test-driven practices, or mentions red-green-refactor.

00

rails-service-object

ThibautBaissac

Creates service objects following single-responsibility principle with comprehensive specs. Use when extracting business logic from controllers, creating complex operations, implementing interactors, or when user mentions service objects or POROs.

00

action-mailer-patterns

ThibautBaissac

Implements transactional emails with Action Mailer and TDD. Use when creating email templates, notification emails, password resets, email previews, or when user mentions mailer, email, notifications, or transactional emails.

10

performance-optimization

ThibautBaissac

Identifies and fixes Rails performance issues including N+1 queries, slow queries, and memory problems. Use when optimizing queries, fixing N+1 issues, improving response times, or when user mentions performance, slow, optimization, or Bullet gem.

10

form-object-patterns

ThibautBaissac

Creates form objects for complex form handling with TDD. Use when building multi-model forms, search forms, wizard forms, or when user mentions form objects, complex forms, virtual models, or non-persisted forms.

00

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