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Securing ClickUp API Credentials and Access

clickup-security-basics

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to securing ClickUp API usage. Learn best practices for managing API tokens, implementing least-privilege access, and auditing usage patterns. This includes secure token rotation procedures, using environment variables, setting up pre-commit hooks to prevent leaks, and structuring calls for robust audit logging.

Codebase to WordPress Theme Converter

codebase-to-wordpress-converter

sickn33/antigravity-awesome-skills

This expert skill converts static or modern React/HTML/Next.js codebases into fully dynamic, pixel-perfect, and SEO-optimized WordPress themes. It functions as a senior architect, ensuring 100% visual fidelity while correctly implementing core WordPress functionalities (ACF, dynamic menus, proper hooks) and preserving technical SEO structures.

Cohere Tool Use and Agent Workflow

cohere-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Learn how to build complex, multi-step AI agents using Cohere's Chat API v2. This skill demonstrates defining external tools (like weather APIs or database searches) and implementing the full agent loop: model calls tool -> execute tool -> feed result back -> final answer. Ideal for creating autonomous, tool-using workflows that interact with external systems.

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.

Deploying Cohere AI Apps to Cloud Platforms

cohere-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive deployment guides for Cohere API v2 applications across major cloud platforms including Vercel, Fly.io, and Google Cloud Run. It covers critical aspects like secret management, setting up reliable health checks, optimizing performance, and implementing streaming chat endpoints to ensure production readiness.

Migrating AI Integrations to Cohere

cohere-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide provides a deep dive into migrating AI applications from major LLM providers (like OpenAI or Anthropic) to the Cohere platform. It covers critical technical steps, including API call adaptation, re-vectorizing embeddings, migrating tool definitions, and implementing the Adapter Pattern for seamless, gradual re-platforming of existing AI services.

Cohere API Performance Tuning Guide

cohere-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for optimizing Cohere API v2 performance. Learn advanced strategies to improve throughput, reduce latency, and manage costs when using Chat, Embed, and Rerank endpoints. Techniques covered include dynamic model selection based on latency budgets, implementing streaming for faster perceived response times, efficient batch processing for embeddings, vector compression, and robust caching mechanisms.

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.

Implementing Robust API Rate Limit Handling

cohere-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

This guide details advanced patterns for managing API rate limits, particularly for external AI services like Cohere. It covers implementing exponential backoff with jitter for handling transient 429 errors, utilizing concurrency-limited request queues, and building proactive rate limit trackers. These techniques ensure highly reliable and optimized API throughput in production systems.

Cohere AI Application Architecture Guide

cohere-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This detailed guide outlines a production-ready, layered architecture for building complex AI applications using the Cohere API v2. It covers implementing Retrieval-Augmented Generation (RAG) pipelines, advanced tool-use agents, and multi-model orchestration. Use this structure when designing new Cohere integrations or establishing robust architectural standards for enterprise AI solutions.

Cohere API Security Best Practices

cohere-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Detailed guide on securing Cohere API integration. Covers best practices for API key management (using environment variables), implementing mandatory key rotation procedures, scrubbing Personally Identifiable Information (PII), and ensuring secure logging practices, helping developers build production-ready, secure applications.

CoreWeave KServe GPU Inference Deployment

coreweave-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This guide details the process of deploying production-grade inference services on CoreWeave using KServe. It covers setting up autoscaling, GPU scheduling, and implementing scale-to-zero functionality for efficient ML model serving endpoints. Ideal for MLOps engineers deploying large language models (LLMs) or other complex AI models in a production environment.

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