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Ideogram Reference Architecture

ideogram-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Guides the setup of Ideogram image-generation projects with layered architecture covering prompt templates, generation services, asset pipelines, and CDN-ready delivery for new integrations or structure reviews.

Inference Latency Profiler

inference-latency-profiler

jeremylongshore/claude-code-plugins-plus-skills

Automates inference latency profiler tasks in ML deployment scenarios, offering step-by-step guidance on model serving, MLOps pipelines, monitoring, and production optimization, generating production-ready code and validating outputs against best practices.

Async Video Workflows

klingai-async-workflows

jeremylongshore/claude-code-plugins-plus-skills

Build asynchronous Kling AI video generation workflows with queues, workers, and state machines to orchestrate event-driven pipelines and monitor job progress within larger systems.

LangChain Architecture Guide

langchain-architecture

sickn33/antigravity-awesome-skills

Comprehensive guide to LangChain architecture, covering agent patterns, chains, memory, document pipelines, and callbacks for building production-ready LLM applications that integrate tools and data sources.

Langfuse LLM Tracing Workflow

langfuse-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guides setup of Langfuse tracing for LLM pipelines, covering automatic OpenAI wrapping, manual spans, streaming responses, and parent-child trace linking for end-to-end observability.

Lindy Data Handling

lindy-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through Lindy AI data classification, PII redaction, secure pipelines, and retention policies so sensitive information stays compliant across privacy regimes.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data-centric framework for building LLM applications, offering 300+ connectors, vector indices, query engines, agents, and multimodal support to power document Q&A, chatbots, knowledge retrieval, and RAG pipelines over private data.

LLM Application Patterns

llm-app-patterns

sickn33/antigravity-awesome-skills

Provides production-ready guidance for constructing retrieval-augmented generation pipelines, agent architectures, and LLMOps best practices, so teams can reliably deploy context-aware AI assistants with vector search, embeddings, and tool use.

LLM Integration Patterns

llm-integration

rohitg00/awesome-claude-code-toolkit

Practical guide to integrating Claude models: covers API client usage, streaming responses, tool calls, RAG pipelines, document chunking, cost-aware model selection, and anti-pattern warnings for efficient LLM workflows.

Mistral AI Automation

mistral-ai-automation

ComposioHQ/awesome-claude-skills

Automates Mistral AI workflows through the Composio MCP integration, letting teams upload files for fine-tuning, batch jobs, OCR, manage RAG document libraries, monitor tuning jobs, and retrieve or catalog data for cross-app pipelines.

Mistral Embeddings Function Workflow

mistral-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides running Mistral AI secondary workflows for embeddings and function calling, covering semantic search, RAG pipelines, and tool-augmented chats.

Production ML Engineering Playbook

sickn33/antigravity-awesome-skills

Guides ML engineers in building production-ready systems with PyTorch 2.x, TensorFlow, and modern tooling, covering serving pipelines, feature engineering, monitoring, and MLOps infrastructure for scalable, reliable deployments.

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