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PerplexityAI Automation Toolkit

perplexityai-automation

ComposioHQ/awesome-claude-skills

Guides connecting a Rube MCP client to Perplexityai via Composio, from discovering up-to-date tool schemas through RUBE_SEARCH_TOOLS to executing actions in RUBE_MULTI_EXECUTE_TOOL while monitoring connection status.

Phoenix AI Observability

phoenix-observability

Orchestra-Research/AI-Research-SKILLs

Phoenix is an open-source AI observability and evaluation platform that captures traces, experiments, datasets, and real-time dashboards for debugging, evaluating, and monitoring production LLM systems.

Pinecone Managed Vector DB

Orchestra-Research/AI-Research-SKILLs

Pinecone provides a fully managed, auto-scaling vector database with hybrid search, metadata filtering, and namespace isolation for low-latency production RAG, recommendation, and semantic search workloads.

Prediction Monitor Assistant

prediction-monitor

jeremylongshore/claude-code-plugins-plus-skills

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Computer Vision Processing

processing-computer-vision-tasks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to invoke the computer-vision-processor plugin, auto-generating Python calls to run object detection, classification, and segmentation on user-provided images for detailed analysis.

LLM Prompt Caching

sickn33/antigravity-awesome-skills

Designs multi-tier prompt caching that cuts LLM costs by up to 90% through prefix, full-response, and semantic similarity caching, while emphasizing sensible invalidation to keep stored outputs accurate for production workloads.

Advanced Prompt Engineering Patterns

prompt-engineering-patterns

sickn33/antigravity-awesome-skills

Guides prompt engineers through advanced patterns for maximizing LLM reliability and controllability, covering few-shot selection, chain-of-thought, templates, system prompts, and validation workflows for production-grade applications.

Prompt Guard Detector

Orchestra-Research/AI-Research-SKILLs

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

Pytorch Model Trainer

pytorch-model-trainer

jeremylongshore/claude-code-plugins-plus-skills

Automates PyTorch training workflows by guiding data preparation, model configuration, hyperparameter tuning, and experiment tracking while following industry best practices for production readiness.

Qdrant Vector Search

qdrant-vector-search

Orchestra-Research/AI-Research-SKILLs

High-performance Rust-based vector similarity engine for production RAG and semantic search, enabling hybrid filtering, multi-vector storage, distributed scaling, and REST/gRPC access for low-latency recommendations and retrieval.

RAG System Architect

Jeffallan/claude-skills

Guides architects in building production-grade retrieval-augmented generation systems via document chunking, embedding generation, vector store setup, hybrid search, reranking, and evaluation for knowledge-backed AI services.

Remove Bg Automation Guide

remove-bg-automation

ComposioHQ/awesome-claude-skills

Documented workflow for automating Composio Remove Bg tasks via Rube MCP, covering discovery, connection management, schema compliance, and execution patterns to reliably integrate background-removal tooling.

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