backend-development
claudeBackend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
5 skills · 1 command · 4 agents
79
claude
llm-application-dev
LLM application development, prompt engineering, and AI assistant optimization
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Plugin llm-application-dev from marketplace claude-code-game-development in HermeticOrmus/claude-code-game-development. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (4)
langchain-architectureDesign LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
llm-evaluationImplement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
prompt-engineering-patternsMaster advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
rag-implementationBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Slash commands (3)
/llm-application-dev:ai-assistant/llm-application-dev:langchain-agent/llm-application-dev:prompt-optimize
Subagents (2)
ai-engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
prompt-engineerExpert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.
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