Loading...
Loading...
Found 176 Skills
Add official Railway database services (Postgres, Redis, MySQL, MongoDB). Use when user wants to add a database, says "add postgres", "add redis", "add database", "connect to database", or "wire up the database". For other templates (Ghost, Strapi, n8n), use the railway-templates skill.
Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.
Performance patterns for Apollo caching, Redis, and CloudFront optimization
Generate Go cache implementations following GO modular architechture conventions. Use when creating cache layers in internal/modules/<module>/cache/ - user state caching, session caching, rate limiting data, temporary data storage, or any domain cache that uses Redis for fast data access with TTL support.
Redis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.
Implement multi-layer caching with Redis, in-memory, and HTTP caching. Covers cache invalidation, stampede prevention, and cache-aside patterns.
Diagnose gateway failures by reading daemon logs, session transcripts, Redis state, and OTEL telemetry. Full Telegram path triage: daemon process → Redis channel → command queue → pi session → model API → Telegram delivery. Use when: 'gateway broken', 'telegram not working', 'why is gateway down', 'gateway not responding', 'check gateway logs', 'what happened to gateway', 'gateway diagnose', 'gateway errors', 'review gateway logs', 'fallback activated', 'gateway stuck', or any request to understand why the gateway failed. Distinct from the gateway skill (operations) — this skill is diagnostic.
AWS CloudFormation patterns for Amazon ElastiCache. Use when creating ElastiCache clusters (Redis, Memcached), replication groups, parameter groups, subnet groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references for distributed caching infrastructure.
Automatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for database design, optimization, and implementation tasks.
Real-time analytics with Redis counters, periodic PostgreSQL flush, and time-series aggregation. High-performance event tracking without database bottlenecks.
Implement subscription-tier aware API rate limiting with sliding window algorithm. Use when building SaaS APIs that need per-user or per-tier rate limits with Redis or in-memory storage.
Redis-backed SSE stream management with stream registry, heartbeat monitoring, completion store for terminal events, and automatic orphan cleanup via background guardian process.