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Anthropic Local Development Workflow

anth-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive setup for a fast and reliable local development loop for applications powered by the Anthropic Claude API. It covers environment management, implementing hot reloading, tracking API usage costs, and utilizing mock responses to ensure a smooth, rapid iteration cycle for AI developers.

Apple Notes Automation Incident Runbook

apple-notes-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

This runbook provides systematic procedures for diagnosing and resolving common automation failures specific to Apple Notes on macOS. It covers critical local issues like app crashes, iCloud sync failures, TCC permission revocations, and database corruption, following a comprehensive detect-diagnose-fix-verify cycle. Essential for maintaining reliable Notes automation workflows.

Apple Notes Automation Reference Architecture

apple-notes-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive reference architecture detailing how to automate Apple Notes on macOS. Since there is no public REST API, this system relies on a layered approach using Node.js, JXA scripting via osascript, local SQLite caching, and FSEvents polling. It outlines best practices for creating robust, local automation solutions for note management and data export.

AssemblyAI Local Development Workflow

assemblyai-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive setup guide for establishing a fast, reproducible local development environment for AssemblyAI projects. It incorporates hot reloading, local caching of transcription results, and mocked testing utilities to ensure rapid iteration cycles without relying on live API keys or incurring costs. Ideal for setting up new services or enhancing existing AI workflows.

CoreWeave Local Development Workflow Tools

coreweave-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and set of tools for establishing a local development workflow tailored for CoreWeave GPU deployments. This includes steps for building Docker containers, validating Kubernetes YAML manifests using dry-run, and managing the full deployment lifecycle for AI inference services before pushing to the cloud.

Local Development Workflow For Fly.io

flyio-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

Outlines a comprehensive, fast local development loop for applications hosted on Fly.io. It guides users through testing Docker containers locally, proxying remote services like Postgres and Redis to localhost, configuring dev environments, and performing fast deployment cycles. Essential for modern edge computing development.

Sync AI Agents to Azure AI Foundry

foundry-agent-sync

github/awesome-copilot

This skill creates and synchronizes prompt-based AI agents directly into Azure AI Foundry using the Agent Service REST API. By defining agents in a local JSON manifest, the skill registers them server-side, making them instantly available for evaluation and invocation within the Foundry ecosystem. It is essential for deploying, updating, or managing AI agents at scale within the Azure cloud environment.

Grammarly Local Dev Workflow Setup

grammarly-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide details setting up a robust local development environment for Grammarly API integrations. It covers establishing the project structure, implementing mocked API responses, and utilizing vitest for comprehensive unit and integration testing. Ideal for developers who require a fast iteration cycle or need to configure reliable API test workflows.

Local K8s Dev Loop for Cost Optimization

castai-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide sets up a robust local development loop for integrated Kubernetes infrastructure using CAST AI. It allows developers to test autoscaler policies, validate Terraform modules, and measure potential cloud cost savings in a dev environment before deploying to production. This is essential for building cost-aware and efficient CI/CD pipelines.

Financial Sentiment Analysis Tool

alphaear-sentiment

RKiding/Awesome-finance-skills

This skill provides advanced sentiment analysis tailored for financial news and market texts. It supports two modes: high-speed, localized analysis using FinBERT, and advanced, reasoning-based analysis via LLM. Users can determine the sentiment polarity (positive, negative, or neutral), score, and specific reason for financial content, making it ideal for market intelligence and data enrichment.

Local Dev Loop For Clinical AI Integration

abridge-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This workflow establishes a comprehensive local environment for developing and testing clinical AI integrations. It simulates an Electronic Health Record (EHR) using a local HAPI FHIR server and utilizes synthetic patient data. Developers can iterate on complex encounter workflows and API connections safely, without ever using real Protected Health Information (PHI).

Unified Finance Information Retrieval

alphaear-search

RKiding/Awesome-finance-skills

A comprehensive skill designed for finance-related information retrieval. It provides dual search capabilities: real-time web searching across multiple engines (Jina, DDG, Baidu) for general market knowledge, and Retrieval-Augmented Generation (RAG) for querying local, proprietary document stores (e.g., daily news). Ideal for financial analysts needing both broad market context and specific internal data insights.

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