Analyzes Rails applications and generates comprehensive upgrade reports with breaking changes, deprecations, and step-by-step migration guides for Rails 2.3 through 8.1.
Upgrade a Ruby on Rails app from 3.x to 4.x — strong parameters replacing attr_accessible / attr_protected, the asset pipeline overhaul, the Turbolinks arrival, Ruby 2.0+…
Upgrade a Ruby on Rails app from 4.x to 5.x — dual-boot via next_rails, ApplicationRecord introduction, ActionCable arrival, strong parameters becoming mandatory, params no longer…
Upgrade a Ruby on Rails app from 5.x to 6.x — dual-boot via next_rails, Zeitwerk autoloader transition from Classic, Webpacker becoming default, ActionMailbox + ActionText…
Upgrade a Ruby on Rails app from 6.x to 7.x — dual-boot via next_rails, the Zeitwerk autoloader transition (was already in 6.0 but became mandatory), Sprockets-to-importmap or…
Upgrade a Ruby on Rails app from Rails 7.x to Rails 8.0 — dual-boot via next_rails, the deprecation-fix loop, Solid Queue / Solid Cache / Solid Cable adoption choices, Propshaft…
ERB, layouts, partials, ViewComponent, helpers, and presenters. Use when building server-rendered UI.
Zero-downtime database migration patterns for Rails 6.1+ on PostgreSQL with Heroku deployments. Covers the hot-compatibility principle, concurrent index creation, multi-step…
Deploy applications on Railway platform. Use when deploying containerized apps, setting up databases, configuring private networking, or managing Railway projects.
Railway App Deployer is built around GraphQL API ecosystem. The underlying ecosystem is represented by graphql/graphql-js (20,335+ GitHub stars).
Deploy services, manage variables, and provision databases on Railway. Use when an agent needs to deploy backend services, manage environment variables, or provision databases on…
Analyze Railway production logs and debug deploy/runtime errors. Full workflow from log collection through root cause analysis, migration recovery, and post-deploy verification.
Fetch up-to-date Railway documentation to answer questions accurately. Use when user asks about Railway features, how Railway works, or shares a docs.railway.com URL.
Configure Railway email settings for multi-client deployments using Resend. Use when setting up email configuration, verifying Resend domains, or updating Railway environment…
Railway erişimi gereken işleri (staging/prod DB provision & DATABASE_URL alma, servis/değişken sorgusu, deploy durumu, ham GraphQL) PANELE GİRMEDEN, saf API (curl+jq) ile yapar.
Fetch and diagnose Railway deployment logs for production issues. Use when an app or deploy on Railway is erroring.
Read-first wrapper around the Railway CLI. Single-call env overviews (services, deploy status, recent errors/warnings, env var NAMES-only) for fast incident triage.
Triages failed Railway deployments for this multi-client monorepo using GitHub PR checks and the Railway CLI, mapping check names like talentco-api to the correct project and…
Indie-friendly cloud deployment on Railway, Render, and Fly.io with autoscaling and cost optimization.
Deploy and manage applications on Railway.app. Use for deploying projects, managing services, viewing logs, setting environment variables, and managing databases.
Rainforest QA integration. Manage data, records, and automate workflows. Use when the user wants to interact with Rainforest QA data.
Automated plan-implement loop with expert review. Orchestrator dispatches subagents for planning/implementation and self-review, Codex for external review. The human steers.
Autonomous feature development loop. Executes complete 9-phase cycle (Interview -> Think Critically -> Plan -> Branch -> Implement -> Verify -> PR -> Merge -> Wrap-Up) with…
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script.
Autonomous development loops with iteration, backpressure gates, and completion criteria. Use for sustained coding sessions that require multiple iterations, test validation, and…
Use when managing Ralph orchestration loops, analyzing diagnostic data, debugging hat selection, investigating backpressure, or performing post-mortem analysis
Generate Ralph-compatible prompts for entire projects from scratch. Creates comprehensive prompts with architecture phase, implementation phases, testing, and documentation.
Generate Ralph-compatible prompts for single implementation tasks. Creates prompts with clear completion criteria, automatic verification, and TDD approach.
Write Python code in the style of Luciano Ramalho, author of Fluent Python. Emphasizes deep understanding of Python's data model, special methods, and advanced idioms.
Ramp ci integration — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Ramp debug bundle — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Ramp deploy integration — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Ramp rate limits — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Ramp reference architecture — corporate card and expense management API integration. Use when working with Ramp for card management, expenses, or accounting sync.
Use when you have a metabolomics count table (rows=metabolites, columns=samples)
Use when your MetaboSet object contains missing values (marked as NA) in the expression matrix after quality flagging, but you need complete data for multivariate analysis.
Use when working with the ranuts utility library — DOM/BOM/string/object/number/color/time helpers and reactivity from `ranuts/utils` (e.g.
Production-grade embedded Rust guidelines for Raspberry Pi (bare-metal no_std and Linux embedded std/rppal/embedded-hal).
라즈베리파이 4(Raspberry Pi OS Bookworm)에 OBD2/CAN 진단 환경을 한 번에 깔아주는 스킬. Node.js 18 LTS, Claude Code, python-can, socketcan, USB-CAN 어댑터(slcan/canable) udev 규칙, aiohttp 의존성, 스왑 확장(4GB 미만…
Raster geospatial data processing — the Python interface to GDAL for satellite imagery, elevation models, and grid-based geographic analysis.
Read the rate-limit budget snapshot for the active provider (usage %, time-to-reset, velocity, projection, recommended throttle) from the bridge.
Token bucket helper for Convex actions. Per-user, in-Convex (no Redis). 10/min + 100/day defaults configurable.
Bypass rate limits and 429 Too Many Requests errors. Distribute requests across rotating residential IPs, add intelligent delays, and manage request queues to scrape at scale…
Stay within a provider's limits and respond correctly when you exceed them, without hammering or stalling. Use when calling any API at volume.
Rate Limit Middleware - Auto-activating skill for Backend Development. Triggers on: rate limit middleware, rate limit middleware Part of the Backend Development skill category.
Use when calling HTTP APIs from Python to retry 429 responses with exponential backoff instead of crashing on the first rate-limit.
Use when implementing or debugging code that uses @suaveplan/rate-limiter: Enterprise rate limiter: TokenBucket, SlidingWindow, FixedWindow algorithms; tenant multipliers;…
Rate Limiter Config - Auto-activating skill for Security Fundamentals. Triggers on: rate limiter config, rate limiter config Part of the Security Fundamentals skill category.
A Staff Infrastructure Engineer interviewer. Use this agent to practice designing API Gateways and Rate Limiters.
Patterns for implementing rate limiting to protect APIs from abuse, ensure fair usage, and maintain system stability.
Apply per-user and per-route limits with RateLimiter and throttle middleware; use backoffs and headers for clients
Implement sophisticated rate limiting with sliding windows, token buckets, and quotas. Use when protecting APIs from excessive requests.
Production-ready persistent rate limiting for Next.js APIs using PostgreSQL/Supabase with atomic counters, automatic fallback, and zero cold-start issues.
Use when designing rate limiting for an API, choosing between token bucket / sliding window / leaky bucket / fixed window, implementing it in Redis, deciding edge…
Load, configure, run pipelines and read module source files to understand RAVE module architecture
Comprehensive knowledge of the Raya programming language, its architecture, and development practices
Primary router and software architect for Ray-Ban Meta and Meta AI glasses projects. Use for planning, creating, integrating, reviewing, or debugging apps that target Meta…
Build Raycast extensions with React and TypeScript. Use when the user asks to create a Raycast extension, command, or tool.
Use Raymon’s MCP server to search and inspect Ray-style logs. Use when you need to (1) set up Raymon as an MCP server (local or remote with auth), (2) search stored entries with…
Receive and verify Razorpay webhooks. Use when setting up Razorpay webhook handlers, debugging X-Razorpay-Signature verification, or handling payment events like payment.captured,…