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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Manage prompt caching hits to lower LLM cost
SkillLink only★ 9
Radix tree KV cache prefix caching manager for fast decoding (SGLang style)
SkillLink only★ 8
V8 JIT optimization patterns for writing high-performance JavaScript in Next.js server internals. Use when writing or reviewing hot-path code in app-render, stream-utils, routing, caching, or any per-
OfficialSkillMIT★ 143k in collectionNo key
Optimize what selected Next.js client navigations include before the click under Partial Prefetching. Use after Cache Components and Partial Prefetching are adopted when the user wants selected URL-sp
OfficialSkillMIT★ 143k in collectionNo key
Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the
OfficialSkillApache-2.0★ 21k in collectionNo key
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailb
OfficialSkillMIT★ 1.6k in collectionNo key
Use Redis over HTTP from serverless and edge runtimes with @upstash/redis, and add rate limiting with @upstash/ratelimit. Use when the user mentions Upstash Redis, needs Redis from a Next.js route han
OfficialSkillMIT★ 40k in collectionNo key
Design or review infrastructure, deployment, CI/CD, Docker, Kubernetes, health checks, rollback, feature flags, production readiness, and mobile release workflows. Use for DevOps, platform, container,
OfficialSkillMIT★ 40k in collectionNo key
Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results
OfficialSkillMIT★ 32k in collectionNo key
Use this skill when writing, reviewing, or optimizing Dockerfiles, even if the user just says their image is too large, their build is slow, or they need to harden a container for production. Covers m
OfficialSkillApache-2.0★ 561 in collectionNo key
Hydrogen storefront implementation cookbooks. Some of the available recipes are: B2B Commerce, Bundles, Combined Listings, Custom Cart Method, Dynamic Content with Metaobjects, Express Server, Google
OfficialSkillMIT★ 596 in collectionNo key
Use this skill when creating, modifying, or debugging Docker Compose configurations, even if the user just says they need to wire services together, add a database to their stack, or set up a local de
OfficialSkillApache-2.0★ 561 in collectionNo key
Assess a workload's readiness to migrate to AWS by analyzing existing code, dependencies, configurations, and infrastructure to produce evidence-backed findings covering the 7 Rs, risks, and a migrati
OfficialSkillMIT-0★ 276 in collectionNo key
Production-grade Google Hotels Search CLI & FastMCP Server with dual providers (free batchexecute + SerpAPI) and smart caching.
SkillMIT★ 1Few starsNo key
💰 Optimize your Claude API usage to save 50-90% on costs with batching techniques and efficient request management.
SkillMIT★ 4Few starsNo key
Backend Engineering agent-skill — implement the server behind the contract: APIs, domain logic, OLTP persistence, auth, async/jobs, caching, security, integration, tests. Faceted router, agentic flags
SkillMITFew starsNo key
A curated, opinionated path for shipping a Next.js app on Vercel — deploys, env, AI Gateway, rendering & cachi
SkillMIT★ 1Few starsNo key
Open-source multi-provider AI backend with automatic 14-engine failover. 36 engines across 7 providers. OpenAI-compatible proxy. Zero-cost frontier AI. Built by Sarma Linux.
SkillMIT★ 7No key
Agentic CLI skills for Spring Boot / Java backend engineering and DevOps
SkillMIT★ 4Few starsNo key
Production-oriented Terraform blueprint for running .NET workloads on Google Cloud, with reusable modules, secure defaults, CI/CD, IAM, secrets, messaging, caching, observability, and multi-environmen
SkillMIT★ 3Few starsNo key
A Model Context Protocol (MCP) server that provides a managed skill file system for AI assistants.
SkillMIT★ 3Few starsNo key
Declarative data feeds for AI agents. YAML config → MCP server with caching, scheduling, and auth.
SkillMITFew starsNo key
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