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todo-app
todo-app contains 9 collected skills from Syedaashnaghazanfar, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Dapr (Distributed Application Runtime) integration patterns for microservices. Covers Pub/Sub, State Store, Jobs API, Secrets Management, and Service Invocation with HTTP APIs. Full Dapr implementation with all 5 building blocks. Use this Skill whenever you need to integrate Dapr building blocks into your microservices, publish/subscribe to events, manage state, schedule jobs, access secrets, or invoke services via Dapr.
Event-driven architecture patterns with Apache Kafka. Covers event schemas, producer/consumer patterns, partitioning strategies, dead letter queues, and retry mechanisms. Works with Dapr Pub/Sub abstraction.
Kubernetes deployment patterns with Helm charts. Covers deployments, services, ConfigMaps, Secrets, Dapr sidecar injection, health probes, and resource management.
Microservices architecture patterns for event-driven systems. Covers service-to-service communication, idempotency, user isolation, event-driven design, and service discovery.
RRULE pattern parsing and next occurrence calculation for recurring tasks. Uses python-dateutil for RFC 5545 RRULE support, simplified patterns (daily, weekly, monthly, yearly), and UTC-only time handling.
Infrastructure as Code with Terraform for cloud Kubernetes clusters. Covers OKE (Oracle), AKS (Azure), GKE (Google) provisioning, multi-cloud patterns, and state management.
Build AI agents with OpenAI Agents SDK + Model Context Protocol (MCP) for tool orchestration. Supports multi-provider backends (OpenAI, Gemini, Groq, OpenRouter) with MCPServerStdio. Use this skill for conversational AI features with external tool access via MCP protocol.
Design, implement, and debug a custom ChatKit backend in Python that powers the ChatKit UI without Agent Builder, using the OpenAI Agents SDK (and optionally Gemini via an OpenAI-compatible endpoint). Use this Skill whenever the user wants to run ChatKit on their own backend, connect it to agents, or integrate ChatKit with a Python web framework (FastAPI, Django, etc.).
Integrate and embed OpenAI ChatKit UI into TypeScript/JavaScript frontends (Next.js, React, or vanilla) using either hosted workflows or a custom backend (e.g. Python with the Agents SDK). Use this Skill whenever the user wants to add a ChatKit chat UI to a website or app, configure api.url, auth, domain keys, uploadStrategy, or debug blank/buggy ChatKit widgets.