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Production Ready BambooHR Integration Patterns

bamboohr-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This module provides production-ready, type-safe patterns for interacting with the BambooHR REST API, supporting TypeScript and Python. It wraps raw HTTP calls into robust, retry-aware clients, handling complex tasks like error management and multi-tenancy. Use this when building reliable, enterprise-grade integrations with BambooHR.

Avoiding Common Anthropic API Pitfalls

clade-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing 10 common mistakes and best practices when integrating with the Anthropic API (Claude). It covers critical technical aspects such as correctly setting `max_tokens`, using the top-level `system` parameter, managing message alternation, checking `stop_reason`, and optimizing client initialization for robust AI application development.

Fast Local Dev Loop for Anthropic API

clade-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide sets up a fast, cost-effective local development loop for building applications powered by the Anthropic API (Claude). It includes instructions for hot reloading, cost-saving tips (e.g., using Haiku, token limits), and mock client implementation for robust unit testing. It supports both TypeScript/Node.js and Python environments, streamlining the AI development workflow.

Figma API Observability and Monitoring

figma-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive monitoring, metrics tracking, and alerting for all Figma API interactions. It instruments client calls to track key metrics like request latency, error rates, rate limit status, and cache performance. This solution ensures robust operational visibility, allowing developers to maintain high availability and stability for Figma integrations in production environments.

Mocking Flexport API for Development

flexport-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide establishes a fast, reproducible local development workflow for integrating with Flexport logistics. Since an official SDK is unavailable, it utilizes a typed HTTP client wrapper combined with mock responses. This setup allows developers to quickly set up, test, and iterate on shipment data handling, ensuring robust development cycles without relying on live API access.

Flexport API Integration Best Practices

flexport-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This guide provides production-ready patterns for interacting with the Flexport REST API v2 in TypeScript and Python. It teaches crucial best practices, including implementing a singleton client for state management, handling paginated data streams, automatic retry logic, and using Zod for robust response validation, ensuring reliable logistics integrations.

Fly.io SDK Patterns for Edge Deployment

flyio-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive TypeScript SDK providing production-ready patterns for interacting with the Fly.io Machines REST API. It includes a typed client for managing the entire machine lifecycle—creation, state polling, and deletion—across multiple global regions. Features like robust error handling, rate-limit retries, and deployment builders ensure reliable multi-region orchestration for edge computing applications.

Fondo API Integration Patterns

fondo-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This SDK provides production-ready patterns for integrating with Fondo's tax and accounting data. It includes a Singleton Client for authenticated REST calls, robust error wrappers (handling retries and authentication), a Query Builder for flexible API requests, and structured types for parsing transactions, accounts, and reports. It is designed for building reliable internal financial tools.

Glean Document Indexing and Search Tutorial

glean-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This skill demonstrates the complete workflow for integrating with the Glean platform. It guides users through three core steps: setting up a custom data source using the Indexing API, programmatically indexing documents, and executing advanced search queries using the Client API. This is essential for developers starting new Glean connectors or needing to test their search pipelines.

Setting Up Glean API Authentication

glean-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details how to authenticate and configure connections to the Glean enterprise search platform. It covers the distinct setup for the Indexing API (used for pushing data into the search index) and the Client API (used for searching and retrieving results). Essential for developers integrating custom data sources or building advanced search features.

Glean Enterprise Search Integration Architecture

glean-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This document outlines the reference architecture for integrating diverse enterprise knowledge sources (such as Confluence, Jira, Notion, and Slack) into the Glean search index. It details the end-to-end data flow, covering connector frameworks, message queuing, permission synchronization (ACLs), and client-side search APIs. Designed to ensure continuous, reliable, and low-latency unified search across all corporate data.

Grammarly API Migration Deep Dive

grammarly-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a deep dive into migrating from the deprecated Grammarly Text Editor SDK to the current, server-side REST APIs. It details the architectural shift from client-side embedding to modern API calls, covering how to implement Writing Score (v2), AI Detection (v1), and Plagiarism Detection (v1) using secure token authentication.

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