Yamin Hossain
Community@RobinMillford
Data Scientist & Machine Learning Engineer | Building ML, NLP, Computer Vision & AI systems with Python, SQL, PyTorch and TensorFlow
Agent Skills by Yamin Hossain
Showing 18 vetted skills indexed across 1 GitHub repositories.
frontend-dev-guidelines
Enforces Suspense-first React, TypeScript, and feature-based architecture standards for frontend code.
multi-agent-patterns
Design multi-agent architectures using supervisor, swarm, and hierarchical coordination patterns.
frontend-developer
Build React and Next.js components with responsive layouts and client-side state management.
frontend-ui-dark-ts
Generates dark-themed React TypeScript interfaces using Tailwind CSS and Framer Motion.
go-concurrency-patterns
Implements Go concurrency patterns using goroutines, channels, sync primitives, and context.
golang-pro
Implements Go 1.21+ services with concurrency patterns, profiling, and production deployment guidance.
nextjs-best-practices
Applies Next.js App Router principles for components, data fetching, routing, and caching.
prompt-engineer
Transforms raw user prompts into structured prompts using 11 prompting frameworks.
typescript-expert
Diagnose and resolve TypeScript type errors, performance issues, and migration challenges.
typescript-advanced-types
Implements generics, conditional types, mapped types, and template literal types in TypeScript.
ai-engineering-toolkit
Evaluates prompts, plans context budgets, designs RAG pipelines, and audits LLM agent security.
llm-application-dev-langchain-agent
Builds production-grade LangChain and LangGraph agents with async patterns, memory, and observability.
typescript-pro
Designs strongly-typed TypeScript architectures using generics, conditional types, and strict compiler configuration.
nextjs-app-router-patterns
Implements Next.js App Router patterns for Server Components, routing, and data fetching.
prompt-caching
Implements Anthropic prompt caching, response caching, and Cache Augmented Generation patterns for LLM applications.
frontend-design
Generates distinctive production-grade frontend interfaces with explicit aesthetic direction and working code.
ai-engineer
Designs and implements LLM applications, RAG pipelines, and multi-agent systems.
nodejs-best-practices
Guides Node.js architecture decisions covering framework selection, async patterns, security, and testing.
Frequently Asked Questions About Yamin Hossain
FAQPage SchemaWhat tasks can I accomplish with Yamin Hossain's skill registry?▼
You can build React 19 and Next.js 15 frontends with dark-themed Tailwind dashboards, master TypeScript generics and conditional types, implement Go concurrency with goroutines and worker pools, and develop production LLM applications with LangChain, RAG pipelines, prompt caching, and multi-agent supervisor or swarm architectures.
Who should use these skills?▼
Frontend engineers building React/Next.js applications, TypeScript developers handling advanced type-level programming and monorepos, Go engineers building concurrent microservices, and AI engineers designing RAG systems, agent orchestration, and prompt optimization frameworks like RTF, RISEN, and Chain of Thought.
How do I install and run these skills?▼
Each skill ships as a folder with native frontmatter defining its name, description, risk level, and source. Register the folder in your skill registry, then invoke it when its trigger conditions match—for example, requesting a supervisor pattern activates multi-agent-patterns, or fetching data activates frontend-dev-guidelines.
Are these skills open source and what do they cost?▼
All 18 skills are community-sourced and free to use. The prompt-caching skill is explicitly licensed under Apache 2.0 via vibeship-spawner-skills; the remaining skills carry community source attribution with risk levels ranging from none and safe to unknown, critical, and offensive.
What prerequisites and dependencies do these skills require?▼
Frontend skills assume React 19, Next.js 14/15, Tailwind CSS, and Framer Motion. Go skills require Go 1.21+. The ai-engineering-toolkit integrates with Claude, Cursor, Gemini, and Copilot, while LangChain skills require LangChain 0.1+ and LangGraph for production agent development.