Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
Skill 디렉토리
AI Agent를 위한 재사용 가능한 Skill을 찾으세요.
모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.
검색 결과: grpc-health
영문 디렉토리Tyk Open Source API Gateway written in Go, supporting REST, GraphQL, TCP and gRPC protocols
Full-stack .Net 10 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 21, React 19, Vue 3.5, BFF with YARP, NextJs 16, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, EF Core, OpenTelemetry, SignalR, Background Services, Health Checks, Rate Limiting, Clouds (Azure, AWS, GCP), ...
Self-hosted platform to unify wearable health data through one AI-ready API.
A command-line tool to perform health-checks for gRPC applications in Kubernetes and elsewhere
Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine.
Fizzy CLI and Agent Skills
收集、脱敏、预览并提交 Cherry Studio BUG、UI/UX 或功能反馈,默认提交到飞书。可在用户同意后调用内置诊断工具整理环境、错误日志、截图和用户导出的 trace,自动提交飞书表单或生成匿名上传 ZIP;也可安全解析反馈 ZIP 为表单字段。用户说“提交问题”“提交反馈”“上报 bug”“收集/上传错误信息”“整理日志/trace”“生成反馈包”,或描述 Cherry Studio 问题并希望记录时触发。只有明确要求 GitHub Issue 时才改用 issue-reporter。
A comprehensive monitoring, recommendation, and OpenAI-compatible gateway system for AI API endpoints with layered probing, health scoring, and self-hosted deployment.
Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture.
Fast GPU OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.