Total 44,046 skills, Backend Development has 3824 skills
Showing 12 of 3824 skills
Make and receive calls, transfer, bridge, and manage call lifecycle with Call Control. Includes application management and call events. This skill provides Ruby SDK examples.
Search for available phone numbers by location and features, check coverage, and place orders. Use when acquiring new phone numbers. This skill provides Go SDK examples.
Make and receive calls, transfer, bridge, and manage call lifecycle with Call Control. Includes application management and call events. This skill provides Java SDK examples.
Send and receive SMS/MMS messages, manage messaging-enabled phone numbers, and handle opt-outs. Use when building messaging applications, implementing 2FA, or sending notifications. This skill provides Ruby SDK examples.
Master third-party API integration in ANY language with best practices and patterns
Use when you need to optimize database performance, schema design, indexing, and query performance across different database systems
Express.js REST API patterns and best practices. Trigger: When building Express.js REST APIs.
Analyze project briefs to resolve architectural ambiguity before tech stack selection. Determines greenfield vs brownfield, platform constraints, integration requirements, scale expectations, and team context. Produces architecture-context.json for downstream skills.
Better Auth framework reference — configuration, security, rate limiting, sessions, plugins, and production hardening. Use when configuring Better Auth, auditing auth security, adding plugins, or troubleshooting Heartwood.
Stripe payment integration for SaaS. Use when implementing Stripe checkout, webhooks, subscriptions, or payment flows. Includes secure patterns for Next.js.
Exhaustive, source-accurate guide for building iMessage applications using @photon-ai/imessage-kit (Basic) and @photon-ai/advanced-imessage-kit (Advanced). Covers every method, type, option, event, and pattern for iMessage automation, AI agents, and chat bots.
Micronaut framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Micronaut projects, or when the user mentions Micronaut. Provides compile-time DI, HTTP server/client, data access, and cloud-native guidelines.