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Agent Skills in category: backend

158 skills match this category. Browse curated collections and explore related Agent Skills.

gemini-batch

This skill should be used when the user asks to "use Gemini Batch API", "process documents at scale", "submit a batch job", "upload files to Gemini", or needs large-scale LLM processing. Includes production gotchas and best practices.

batch-processinglarge-scale-processinggeminiLLM-processing
edwinhu
edwinhu
0

laravel

How to work effectively with Laravel, always use when developing Laravel features

laravelphpframeworkdevelopment
markhamsquareventures
markhamsquareventures
0

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

mcpfastmcpmcp-sdkapi-integration
zhuxining
zhuxining
0

implement

Scaffold Cloudflare Workers with Hono, Drizzle ORM, and TypeScript best practices. Use this skill when implementing new Workers, adding endpoints, or setting up database schemas.

cloudflare-workershonodrizzle-ormtypescript
littlebearapps
littlebearapps
0

telegram-bot-performance-engineer

This skill should be used when analyzing, profiling, or optimizing Telegram bots built with Python/Telethon, especially for performance bottlenecks, rate limits, caching, API usage, or when the user asks for a full repo review or best practices.

telegrampythontelethonperformance-tuning
prof-ramos
prof-ramos
0

backend-development

后端服务开发。当用户需要开发 API、数据库设计、微服务架构或后端业务逻辑时使用此技能。

APIdatabase-designmicroservicesbackend-logic
aAAaqwq
aAAaqwq
0

idiomatic-go

Write production-ready Go backends, CLIs, and APIs following modern best practices from top tier tech companies. Use this skill when creating or reviewing Go code for (1) backend services and APIs, (2) command-line tools, (3) code requiring proper error handling, concurrency, or testing patterns, (4) any Go development requiring adherence to established style guidelines. Includes comprehensive linting configuration and detailed style guide.

gocode-styleerror-handlingconcurrency
marsolab
marsolab
0

neon-vercel-postgres

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postgresqlneonverceldatabase
ovachiever
ovachiever
81

nodejs-backend-patterns

Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.

nodejsexpressjsfastifyapi-design
ovachiever
ovachiever
81

sglang

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.

llmstructured-outputprefix-cachingfast-inference
ovachiever
ovachiever
81

vercel-kv

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vercelkey-valuekv-storageserverless
ovachiever
ovachiever
81

senior-backend

Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.

nodejsexpressjsgopython
ovachiever
ovachiever
81

fastapi-templates

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

FastAPIasync-awaitdependency-injectionerror-handling
ovachiever
ovachiever
81

hono-routing

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honoroutingnodejsapi
ovachiever
ovachiever
81

backend-dev-guidelines

Comprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).

developer-guidancenextjstypescriptprisma
ovachiever
ovachiever
81

cloudflare-mcp-server

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cloudflaremcpserver
ovachiever
ovachiever
81

cloudflare-queues

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cloudflaremessage-queuequeueing-modelcloudflare-workers
ovachiever
ovachiever
81

tempo

Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.

grafanatempodistributed-tracingopentelemetry
julianobarbosa
julianobarbosa
0

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