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Implement Retell AI Policy Guardrails

retellai-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

This skill provides implementation patterns for policy guardrails when utilizing Retell AI for voice agents and phone call automation. It is designed to help ensure that AI interactions in a telephony context adhere strictly to predefined business rules and safety policies, preventing unauthorized actions or deviations from the intended conversational flow.

Managing Retell AI Voice Agent Limits

retellai-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

This skill provides implementation patterns for managing API rate limits when integrating Retell AI for voice agents and telephony systems. It guides developers on handling common API errors (such as 429 Rate Limited) and implementing robust backoff strategies, ensuring stable and scalable operation for complex voice and communication applications.

Retell AI Voice Agent and Telephony Automation

retellai-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides implementation patterns and reference architecture for building advanced AI voice agents and automating complex phone call workflows using the Retell AI SDK. This skill is designed for developers requiring robust voice interaction, real-time telephony integration, and comprehensive conversational AI capabilities in their applications.

Retell AI Voice Agent Migration Patterns

retellai-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive implementation patterns and detailed steps for migrating and upgrading Retell AI integrations. It is designed for developers building advanced AI voice agents, phone call automation, and complex telephony workflows using the Retell SDK. It covers setup procedures, best practices, and standard error handling for robust deployment.

Rev AI Workflow Automation

rev-ai-automation

ComposioHQ/awesome-claude-skills

Guide to automating Rev AI tasks through Composio’s Rube MCP toolkit, covering setup, mandatory tool discovery, connection checks, and schema-driven execution best practices for reliable results.

Rosette Text Analytics Automation

rosette-text-analytics-automation

ComposioHQ/awesome-claude-skills

Automates Rosette Text Analytics actions through Composio’s Rube MCP, guiding users to discover current tool schemas, verify connections, and execute workflows with schema-compliant inputs.

RWKV Hybrid Architecture

rwkv-architecture

Orchestra-Research/AI-Research-SKILLs

RWKV is an RNN+Transformer hybrid architecture with linear-time inference, infinite context, and GPT-style training. It delivers constant-memory, streaming generation on CUDA and CPU, ideal for long-context, memory-constrained deployments.

Scrapegraph AI Workflow Automation

scrapegraph-ai-automation

ComposioHQ/awesome-claude-skills

Automates Scrapegraph AI operations through Composio’s Rube MCP, guiding you to discover tools, check active connections, execute schema-compliant workflows, and manage sessions and pagination safely.

Semanticscholar MCP Automation

semanticscholar-automation

ComposioHQ/awesome-claude-skills

Automates Semanticscholar workflows through Composio’s Semanticscholar toolkit via Rube MCP, covering tool discovery, connection verification, session reuse, and schema-compliant multi-tool execution for reliable research automation.

Production Computer Vision Engineering Pipeline

senior-computer-vision

alirezarezvani/claude-skills

Comprehensive skill set covering the full lifecycle of advanced visual AI systems. Expertise includes object detection (YOLO, Faster R-CNN), instance and semantic segmentation (Mask R-CNN, SAM), model training using PyTorch, and production deployment optimization using ONNX and TensorRT for edge or cloud targets.

Advanced Prompt Engineering and LLM Evaluation

senior-prompt-engineer

alirezarezvani/claude-skills

A comprehensive, model-agnostic toolkit for advanced LLM development. It enables iterative prompt optimization through static analysis (token usage, clarity), measures critical RAG metrics (relevance, faithfulness, coverage), and validates complex agent workflows and configurations. Essential for rigorous LLM quality assurance and cost management.

Sentence Embedding Framework

sentence-transformers

Orchestra-Research/AI-Research-SKILLs

Sentence Transformers provides 5000+ pre-trained models that generate sentence, text, and image embeddings for RAG, semantic search, clustering, and multilingual production workloads without relying on external APIs.

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