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Implementing LLM Policy Guardrails

anth-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive skill provides multi-layered guardrails for integrating with LLMs like Claude. It enforces security and compliance by implementing input validation (PII detection, length checks), system prompt restriction (scope control, safety rules), output filtering (preventing sensitive data leakage), cost governance, and model access policies. Ideal for building secure, robust, and governed AI applications.

Claude API Production Deployment Checklist

anth-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist for deploying Claude API integrations to a production environment. It covers essential best practices for reliability, observability, and cost control, including authentication procedures, advanced error handling, rate limit management, health check implementation, and infrastructure deployment strategies (e.g., canary releases) to ensure a smooth and stable launch.

Advanced Audio Transcription And Analysis

assemblyai-hello-world

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to using AssemblyAI for rich audio processing. This guide covers basic speech-to-text transcription from URLs or local files, along with advanced AI features. Capabilities include speaker diarization, sentiment analysis, key phrase extraction, entity detection, and powerful LLM-powered analysis (LeMUR) for summarization and Q&A. Ideal for integrating deep, multi-faceted audio insights into applications.

Claude Production Readiness Checklist

clade-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist designed to ensure Claude-powered applications are robust, secure, and production-ready before going live. It guides developers through critical areas, including robust error handling, API security best practices, cost control mechanisms, real-time monitoring setup, and performance optimization, ensuring a stable user experience.

Anthropic Claude SDK Patterns Guide

clade-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to production-ready patterns for integrating with Anthropic's Claude API using both TypeScript and Python SDKs. Covers robust client setup (retries, timeouts), advanced error handling, streaming implementations, prompt caching, and batch processing to ensure high performance and cost efficiency in real-world AI applications.

Claude Persistent Memory System

claude-memory-kit

rohitg00/awesome-claude-code-toolkit

A persistent memory kit designed for Claude AI agents. It maintains deep context across multiple sessions and projects using a two-layer architecture (hot cache and knowledge wiki). Features include safety hooks, multi-project context isolation, and a /close-day command for daily synthesis, ensuring agents remember complex information and continuously learn.

Cohere Cost Optimization and Usage Tuning

cohere-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Provides strategies to optimize costs when utilizing the Cohere API. This guide covers model tier selection (economy, standard, premium), implementing token budgets, reducing embedding storage costs (e.g., using int8), and establishing comprehensive usage trackers. It is essential for maintaining cost predictability in production AI deployments.

Setup Cohere SDK Authentication and Usage

cohere-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the process of installing and configuring the Cohere SDK (v2) in both Node.js and Python environments. It covers initial setup, setting API keys via environment variables, and provides full code examples for verifying connectivity across various Cohere endpoints, including Chat, Embed, and Rerank, enabling immediate integration into your AI projects.

Cohere Production Deployment Checklist

cohere-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive checklist guides the safe and robust deployment of Cohere API v2 integrations from staging to production. It covers critical steps including API key management, code quality standards, performance tuning, implementing health checks and circuit breakers, and defining full rollback procedures, ensuring mission-critical AI features are reliable for launch.

Cohere SDK Best Practices Patterns

cohere-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This guide provides production-ready code patterns for integrating with the Cohere AI API v2 using TypeScript and Python. It covers essential best practices, including singleton client management, robust retry mechanisms, type-safe chat wrappers, streaming, embedding, reranking, and structured JSON output. Use this when establishing team coding standards or refactoring existing Cohere integrations.

Cohere API V1 to V2 Migration Guide

cohere-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the necessary steps and breaking changes when migrating from Cohere API v1 to v2. It covers critical updates for SDKs (TypeScript/Python), including changes in chat message formats, role naming conventions, and required parameters for key endpoints like Embed, Rerank, and Tool Use, ensuring smooth API adoption.

Cohere Streaming Events and Connector Implementation

cohere-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide demonstrates how to implement robust, real-time streaming UIs using Cohere's `chatStream` method. It details handling various event types, including content deltas, citation information for RAG, and structured tool call streams. A practical example is provided for creating a Server-Sent Events (SSE) endpoint, making it ideal for front-end integration with advanced AI features.

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