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Team Access and Quota Management for AI

klingai-team-setup

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive management for team access to AI APIs, ensuring security and accountability. It allows setting up role-based access control (admin, editor, viewer), implementing per-member and total team usage quotas, and managing separate API keys across Development, Staging, and Production environments. Ideal for scaling AI usage in enterprise settings.

LangChain API Cost Optimization Guide

langchain-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing LLM API usage within LangChain frameworks. Techniques include implementing token usage tracking, model tiering to route tasks based on complexity, utilizing caching to eliminate duplicate calls, prompt compression for efficiency, and enforcing strict budget limits to manage operational costs effectively.

Mastering API Rate Limits in LangChain

langchain-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details advanced strategies for building highly resilient applications that interact with external LLM APIs. It covers built-in exponential backoff retries, controlling request throughput via concurrency limits, implementing provider fallbacks, and custom rate limiting using token buckets. Essential knowledge for achieving stable, high-volume API usage in production systems.

Optimizing Linear API Usage for Efficiency

linear-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides advanced strategies for optimizing API usage with Linear, helping users stay within strict rate limits and minimize operational costs. It covers best practices like replacing polling with webhooks, implementing request coalescing, minimizing query complexity, and utilizing smart caching with tailored TTLs, ensuring maximum throughput efficiency.

Production Lokalise SDK Patterns

lokalise-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This guide provides production-grade coding patterns for integrating Lokalise into TypeScript and Node.js applications. It covers crucial best practices such as client singleton implementation, robust cursor-based pagination for large datasets, structured error handling with retry logic, and efficient batch operations. Implementing these patterns ensures reliable, scalable, and maintainable API usage.

Advanced API Cost Optimization Patterns

maintainx-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to minimizing API usage costs by implementing advanced integration patterns. Learn to reduce request volume through response caching with TTL, replacing expensive polling with webhook-driven sync, and utilizing smart polling with change detection filters. Also covers usage tracking and request deduplication for highly efficient system architecture.

API Version Migration and Upgrade Helper

maintainx-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

This specialized skill provides a comprehensive framework for migrating applications using the MaintainX API across different versions (e.g., v1 to v2). It covers best practices for handling API breaking changes, deprecations, and version compatibility. Users can audit existing API usage, implement version adapters, and manage feature flag rollouts, ensuring smooth and safe integration upgrades.

Mistral AI SDK Best Practices

mistral-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This guide provides production-ready patterns for integrating the Mistral AI SDK in both TypeScript and Python. It covers essential best practices such as singleton client management, handling structured JSON output, implementing streaming responses, concurrent asynchronous processing, and robust error handling with exponential backoff. Use this when establishing team coding standards or refactoring Mistral API usage.

Optimize OpenEvidence API Costs

openevidence-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive guidelines and optimization strategies for managing API usage and reducing costs when interacting with OpenEvidence. It covers best practices such as implementing caching, batching requests, selecting appropriate API tiers, and monitoring usage dashboards to ensure efficient and cost-effective data retrieval in healthcare applications.

OpenRouter API Cost Controls and Budget Management

openrouter-cost-controls

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive tools for implementing granular cost controls for OpenRouter API usage. It allows users to set hard spending caps via per-key limits, track real-time credit balances, and implement client-side middleware for budget enforcement. Use cases include preventing unexpected overspending, managing multi-key environments, and optimizing API calls using cost-saving model variants.

Data Privacy for LLM API Usage

openrouter-data-privacy

jeremylongshore/claude-code-plugins-plus-skills

This skill implements robust data privacy controls for interactions with OpenRouter APIs. It automatically detects and redacts Personally Identifiable Information (PII)—such as emails, SSNs, credit cards, and API keys—from prompts. It ensures compliance with privacy regulations like GDPR and CCPA, allowing developers to safely process sensitive data when using various upstream LLM providers.

OpenRouter API Troubleshooting Bundle

openrouter-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

This bundle provides a structured mechanism for capturing comprehensive debug information when interacting with the OpenRouter API. It captures the full request parameters, response content, detailed error logs, generation metadata (such as cost, token usage, and provider), and the execution environment. This tool is essential for diagnosing failed API calls, unexpected behaviors, or performance/latency issues.

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