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Declarative LM Programming

Orchestra-Research/AI-Research-SKILLs

DSPy lets you declaratively compose language-model tasks, build modular RAG/agent pipelines, and apply automatic prompt optimizers so complex AI systems stay maintainable and systematically improve outputs.

Embedding Strategy Guide

embedding-strategies

sickn33/antigravity-awesome-skills

Helps teams choose and tune embedding models, chunking, and pipelines for vector search, covering RAG, multilingual input, and dimension-reduction scenarios.

Exa Architecture Variants

exa-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through choosing and implementing validated Exa deployment architectures—from direct search to cached semantic layers and RAG pipelines—so integrations scale from simple apps to high-query, AI-enhanced solutions.

Flask ML API Creator

flask-ml-api-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates Flask-based machine learning API deployment by guiding you through best practices, generating production code/configurations, and validating outputs for serving, monitoring, and MLOps pipelines.

Google Cloud Agent SDK

google-cloud-agent-sdk-master

jeremylongshore/claude-code-plugins-plus-skills

Master Google Cloud’s Agent Development Kit and Starter Pack to build containerized multi-agent systems, automate RAG workflows, and deploy production-ready agents via Cloud Run, GKE, Agent Engine, or CI/CD pipelines.

GPU Resource Optimizer

gpu-resource-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automates GPU resource optimization for ML deployments by guiding best practices, generating production-ready configurations, and validating setups for model serving, MLOps pipelines, and monitoring.

Gradient Clipping Helper

gradient-clipping-helper

jeremylongshore/claude-code-plugins-plus-skills

Gradient Clipping Helper automates ML training work by guiding gradient clipping workflows, generating production-ready code and configs, and validating outputs for PyTorch, TensorFlow, and related pipelines.

Groq Reference Architecture

groq-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines best-practice Groq deployment with tiered model routing, middleware, streaming pipelines, and fallback chains for ultra-fast LLM inference and production monitoring when launching new Groq integrations.

Fast NLP Tokenizers

huggingface-tokenizers

Orchestra-Research/AI-Research-SKILLs

Rust-powered HuggingFace tokenizers deliver <20s per GB speed, trainable BPE/WordPiece/Unigram models, alignment tracking, padding, and transformers integration for production NLP pipelines.

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.

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