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Autonomous Agent Patterns

autonomous-agent-patterns

sickn33/antigravity-awesome-skills

Provides reusable design patterns for orchestrating autonomous coding agents, covering the agent loop, multi-model routing, tool schemas, and human-in-the-loop workflows to safely automate complex development tasks.

Autonomous Agent Patterns

autonomous-agent-patterns

sickn33/antigravity-awesome-skills

Provides reusable design patterns for orchestrating autonomous coding agents, covering the agent loop, multi-model routing, tool schemas, and human-in-the-loop workflows to safely automate complex development tasks.

AWQ Weight Quantization

awq-quantization

Orchestra-Research/AI-Research-SKILLs

AWQ provides activation-aware 4-bit quantization for large language models, delivering ~3x inference speedup and sub-5% accuracy loss to deploy instruction-tuned or multimodal models on memory-constrained GPUs with vLLM integration and Marlin kernels.

Embedding Strategy Guide

embedding-strategies

sickn33/antigravity-awesome-skills

Helps teams choose and tune embedding models, chunking, and pipelines for vector search, covering RAG, multilingual input, and dimension-reduction scenarios.

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.

Groq Multi-Environment Config

groq-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

Sets up Groq LLM API clients for development, staging, and production tiers with tailored models, retries, and rate-limit handling so deployments stay aligned with each environment’s speed and cost profile.

GRPO RL Training

grpo-rl-training

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance for implementing GRPO with TRL to fine-tune reasoning models, enforce structured outputs, and optimize custom reward functions for verifiable and multi-objective tasks.

LangChain Enterprise RBAC

langchain-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Provides a reusable RBAC framework for LangChain apps, covering tenant-aware users, permission sets, model gating, isolation, and token quotas so enterprises can secure multi-tenant LLM deployments.

Llama Factory Guide

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance for fine-tuning large language models with LLaMA-Factory, covering no-code WebUI usage, QLoRA/LoRA optimizations, multimodal inputs, and curated references so developers can build and debug solutions faster.

Enterprise Miles RL

miles-rl-training

Orchestra-Research/AI-Research-SKILLs

Guidance for training large multimodal MoE models with miles, covering FP8/INT4 quantization-aware regimes, train-inference alignment, speculative RL throughput tricks, and enterprise stability practices for production deployments.

Model Merging Techniques

Orchestra-Research/AI-Research-SKILLs

Utilize Mergekit to merge multiple fine-tuned models via SLERP, TIES, DARE, Task Arithmetic, and linear merging; perfect for preserving diverse domain skills, improving benchmark performance, and experimenting with new combinations without retraining.

Coordinated Multi-Agent Systems

multi-agent-patterns

sickn33/antigravity-awesome-skills

Guides designers of language-model multi-agent systems through supervisor, swarm, and hierarchical patterns while stressing context isolation, coordination protocols, and token economics for complex research or tool-intensive workflows.

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