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AI Agent Development Workflow Guide

ai-agent-development

sickn33/antigravity-awesome-skills

A comprehensive, multi-phase workflow designed for building sophisticated AI systems. This guide covers everything from designing autonomous agents and implementing single-agent logic, to orchestrating complex multi-agent systems and integrating advanced tools and memory mechanisms. Ideal for developers building production-grade AI applications using frameworks like CrewAI and LangGraph.

AI Agent Development Workflow Guide

ai-agent-development

sickn33/antigravity-awesome-skills

A comprehensive, multi-phase workflow designed for building sophisticated AI systems. This guide covers everything from designing autonomous agents and implementing single-agent logic, to orchestrating complex multi-agent systems and integrating advanced tools and memory mechanisms. Ideal for developers building production-grade AI applications using frameworks like CrewAI and LangGraph.

On-Device Foundation Models

foundation-models-on-device

affaan-m/everything-claude-code

Integrates Apple's FoundationModels into iOS apps so developers can run on-device LLMs for text generation, guided structured outputs via @Generable, custom tool calls, and snapshot streaming without leaving the device.

Gemini API Integration

sickn33/antigravity-awesome-skills

Guides developers through using Google’s Gemini API to access advanced multimodal models, covering SDK installation, sample code in Python/JS/Go, REST specs, and documentation indexes for text, image, and function-calling workflows.

GGUF Quantization for Efficient LLM Inference

gguf-quantization

Orchestra-Research/AI-Research-SKILLs

This guide details the use of the GGUF format and quantization techniques for running large language models (LLMs) efficiently. GGUF enables optimal inference on consumer hardware, Apple Silicon, and systems requiring CPU-only operation. By compressing models using various K-quant methods (like Q4_K_M), developers can significantly reduce memory footprint and hardware requirements while maintaining high performance.

Groq API Chat Completion Guide

groq-hello-world

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to using Groq's high-speed LPU for chat completion. This resource provides code examples in TypeScript and Python, covering basic chat interactions, streaming responses, and advanced multimodal features. Ideal for developers building high-performance, low-latency AI applications using the Groq API.

LangChain Core Workflows

langchain-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guides developers to assemble LangChain LCEL chains and prompt templates for sequential, parallel, and branching LLM workflows with type-safe parsers and reusable components.

Lindy Rate Limit Guide

lindy-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guides Lindy AI developers through API and agent action rate limit handling, covering request throttling, agent budgets, webhook controls, and error recovery to keep integrations stable.

LLaMA Factory Guide

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance for using llama-factory to fine-tune LLMs through its WebUI, covering QLoRA/LoRA quantized setups, multimodal models, and automation tips for developers exploring models like Llama, Qwen, or Gemma.

Mistral Privacy Guard

mistral-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Guides developers through building Mistral AI integrations that sanitize PII, enforce retention policies, and log audit trails so API calls, fine-tuning data, and conversation history stay compliant with GDPR/CCPA.

OpenRouter Auth Setup

openrouter-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guides developers through obtaining OpenRouter API credentials, configuring keys in environment variables, and verifying authentication to ensure stable integration with OpenRouter-powered services.

OpenRouter Pitfalls Guide

openrouter-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

Documented anti-patterns, common mistakes, and gotchas for OpenRouter integrations, helping developers review code, onboard teammates, and verify API connectivity before deployment.

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