Search Results for "Asmayaseen" | AgentCC

docker-fastapi

Comprehensive Docker containerization for Python/FastAPI applications from development to production deployments. Use when Claude needs to containerize Python/FastAPI applications with proper multi-stage builds, production-ready configurations, security best practices, and optimized Docker images for deployment to cloud platforms or container orchestration systems.

evaluation

Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.

deploying-kafka-k8s

Deploys Apache Kafka on Kubernetes using the Strimzi operator with KRaft mode. Use when setting up Kafka for event-driven microservices, message queuing, or pub/sub patterns. Covers operator installation, cluster creation, topic management, and producer/consumer testing. NOT when using managed Kafka (Confluent Cloud, MSK) or local development without K8s.

agents-md-gen

Generate AGENTS.md files that teach AI agents about a repository's structure, conventions, and guidelines

internal-comms

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

mcp-builder

Build new MCP servers using FastMCP pattern with minimal token overhead for LearnFlow AI agents

building-chatgpt-apps

Guides creation of ChatGPT Apps with interactive widgets using OpenAI Apps SDK and MCP servers. Use when building ChatGPT custom apps with visual UI components, embedded widgets, or rich interactive experiences. Covers widget architecture, MCP server setup with FastMCP, response metadata, and Developer Mode configuration. NOT when building standard MCP servers without widgets (use building-mcp-servers skill instead).

researching-with-deepwiki

Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploring unfamiliar codebases, understanding project architecture, or asking questions about how a specific open-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code. NOT for fetching library API docs (use fetching-library-docs instead) or local files.

configuring-better-auth

Implement OAuth 2.1 / OIDC authentication using Better Auth with MCP assistance. Use when setting up a centralized auth server (SSO provider), implementing SSO clients in Next.js apps, configuring PKCE flows, or managing tokens with JWKS verification. Uses Better Auth MCP for guided setup. NOT when using simple session-only auth without OAuth/OIDC requirements.

working-with-spreadsheets

Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards. Use when working with .xlsx files, financial models, data analysis, or formula-heavy spreadsheets. Covers formula recalculation, color coding standards, and common pitfalls.

building-rag-systems

Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.

dapr-pubsub-binding

Configure Dapr pub/sub components for event-driven communication between LearnFlow microservices via Kafka

nextjs-k8s-deploy

Build and deploy the LearnFlow Next.js frontend to Kubernetes with Docker

argocd-app-deployment

Deploy and manage LearnFlow applications using ArgoCD GitOps continuous delivery

kubernetes-deployer

Package and deploy applications to Kubernetes with Dockerfiles, Helm charts, and local Minikube deployment. Use when containerizing applications, creating Kubernetes manifests, setting up Helm charts, deploying to Minikube, or preparing cloud-ready configurations. Focuses on local-first deployment with stateless services.

streaming-llm-responses

Implement real-time streaming UI patterns for AI chat applications. Use when adding response lifecycle handlers, progress indicators, client effects, or thread state synchronization. Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and client tools. NOT when building basic chat without real-time feedback.

building-mcp-servers

Guides creation of 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). Covers tool design, authentication, Docker deployment, and evaluation creation. NOT when consuming existing MCP servers (use the server directly).

fastapi-dapr-agent

Scaffold a new FastAPI microservice with Dapr integration and OpenAI agent for LearnFlow

learnflow-k8s-deployer

Deploy LearnFlow platform on Kubernetes

nextjs-devtools

Next.js development tooling via MCP. Inspect routes, components, build info, and debug Next.js apps. Use when working on Next.js applications, debugging routing, or inspecting app structure. NOT for general React or non-Next.js projects.

browsing-with-playwright

Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction. NOT when only fetching static content (use curl/wget instead).

configuring-dapr-pubsub

Configures Dapr pub/sub components for event-driven microservices with Kafka or Redis. Use when wiring agent-to-agent communication, setting up event subscriptions, or integrating Dapr sidecars. Covers component configuration, subscription patterns, publishing events, and Kubernetes deployment. NOT when using direct Kafka clients or non-Dapr messaging patterns.

styling-with-shadcn

Build beautiful, accessible UIs with shadcn/ui components in Next.js. Use when creating forms, dialogs, tables, sidebars, or any UI components. Covers installation, component patterns, react-hook-form + Zod validation, and dark mode setup. NOT when building non-React applications or using different component libraries.

kong-api-gateway

Deploy Kong API Gateway on Kubernetes with JWT auth, rate limiting, and routing to all LearnFlow services

k8s-foundation

Check Kubernetes cluster health and apply foundational Helm charts for LearnFlow namespace setup

scaffolding-fastapi-dapr

Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.

systematic-debugging

Systematic methodology for debugging bugs, test failures, and unexpected behavior. Use when encountering any technical issue before proposing fixes. Covers root cause investigation, pattern analysis, hypothesis testing, and fix implementation. Use ESPECIALLY when under time pressure, "just one quick fix" seems obvious, or you've already tried multiple fixes. NOT for exploratory code reading.

installing-skill-tracker

Installs Claude Code hooks for automatic skill usage measurement. Use when setting up skill tracking infrastructure in a new project. NOT when hooks are already installed (run verify.py to check).

docusaurus-deploy

Set up and deploy Docusaurus documentation site for LearnFlow platform on Kubernetes

scaffolding-openai-agents

Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration. Use when creating tutoring agents, building agent handoffs, implementing tool-calling agents, or orchestrating multiple specialists. Covers Agent class, Runner patterns, function tools, guardrails, and streaming responses. NOT when using raw OpenAI API without SDK or other agent frameworks like LangChain.

building-nextjs-apps

Build Next.js 16 applications with correct patterns and distinctive design. Use when creating pages, layouts, dynamic routes, upgrading from Next.js 15, or implementing proxy.ts. Covers breaking changes (async params/searchParams, Turbopack, cacheComponents) and frontend aesthetics. NOT when building non-React or backend-only applications.

huggingface-deploy

Deploy LearnFlow AI tutor as a Gradio app on HuggingFace Spaces for public demo access

agent-testing-framework

Automated testing framework for LearnFlow AI agent interactions and skill validation

mcp-code-execution

Implement the MCP Code Execution pattern - wrap MCP server calls in scripts to achieve 80-98% token reduction

operating-k8s-local

Operates local Kubernetes clusters with Minikube for development and testing. Use when setting up local K8s, deploying applications locally, or debugging K8s issues. Covers Minikube, kubectl essentials, local image loading, and networking.

containerizing-applications

Containerizes applications with Docker, docker-compose, and Helm charts. Use when creating Dockerfiles, docker-compose configurations, or Helm charts for Kubernetes. Includes Docker Hardened Images (95% fewer CVEs), multi-stage builds, and 15+ battle-tested gotchas.

creating-skills

Guides creation of effective Agent Skills with proper structure and validation. Use when users want to create a new skill, update an existing skill, or need guidance on skill design patterns, SKILL.md format, or verify.py implementation. NOT when just using existing skills (use those skills directly).

deploying-cloud-k8s

Deploys applications to cloud Kubernetes (AKS/GKE/DOKS) with CI/CD pipelines. Use when deploying to production, setting up GitHub Actions, troubleshooting deployments. Covers build-time vs runtime vars, architecture matching, and battle-tested debugging.

neon-postgres

Neon PostgreSQL serverless database - connection pooling, branching, serverless driver, and optimization. Use when deploying to Neon or building serverless applications.

tool-design

Design tools that agents can use effectively. Use when creating new tools for agents, debugging tool-related failures, or optimizing existing tool sets.

fetching-library-docs

Token-efficient library API documentation fetcher using Context7 MCP with 77% token savings. Fetches code examples, API references, and usage patterns for published libraries (React, Next.js, Prisma, etc). Use when users ask "how do I use X library", need code examples, want API syntax, or are learning a framework's official API. Triggers: "Show me React hooks", "Prisma query syntax", "Next.js routing API". NOT for exploring repo internals/source code (use researching-with-deepwiki) or local files.

working-with-documents

Creates and edits Office documents: Word (.docx), PDF, and PowerPoint (.pptx). Use when working with document creation, PDF manipulation, presentation generation, tracked changes, or converting between formats.

memory-systems

Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.

context-optimization

Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.

postgres-k8s-setup

Deploy PostgreSQL on Kubernetes for LearnFlow student data persistence

prometheus-grafana-setup

Deploy Prometheus + Grafana monitoring stack for LearnFlow on Kubernetes

kafka-k8s-setup

Deploy Apache Kafka on Kubernetes for LearnFlow event-driven microservices

operating-production-services

SRE patterns for production service reliability: SLOs, error budgets, postmortems, and incident response. Use when defining reliability targets, writing postmortems, implementing SLO alerting, or establishing on-call practices. NOT for initial service development (use scaffolding skills instead).