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Azure Agent Framework

agent-framework-azure-ai-py

sickn33/antigravity-awesome-skills

Build persistent agents on Azure AI Foundry through the Microsoft Agent Framework Python SDK, hooking into AzureAIAgentsProvider for tools, hosted services, streaming, and threaded conversations.

BLIP-2 Vision Language

blip-2-vision-language

Orchestra-Research/AI-Research-SKILLs

BLIP-2 is a vision-language pre-training framework that links frozen image encoders with LLMs to generate captions, answer visual questions, perform image-text retrieval, and drive multimodal chat with strong zero-shot accuracy.

Research Brainstorm Toolkit

brainstorming-research-ideas

Orchestra-Research/AI-Research-SKILLs

Guides researchers through ten structured ideation frameworks to move from vague curiosity to actionable, defensible research proposals, supporting exploration of new problem spaces, pivoting projects, and surfacing high-impact angles.

CrewAI Multi-Agent Framework

crewai-multi-agent

Orchestra-Research/AI-Research-SKILLs

CrewAI is a runtime for orchestrating specialized autonomous agents with roles, memory, and workflow control, ideal for hierarchical or sequential production pipelines needing lean, LangChain-free execution.

Eval Harness Framework

affaan-m/everything-claude-code

Official Claude Code evaluation harness codifies evaluation-driven development, letting teams define capability and regression checks, run deterministic/model/human graders, track pass@k/pass^k, and report readiness for features.

Agent Evaluation Framework

sickn33/antigravity-awesome-skills

Designs and runs structured evaluation frameworks for agent systems, balancing token budgets, tool usage, and LLM scoring to compare configurations, guard production, and track regressions across complex workflows.

Generative Engine Optimization Guide

geo-fundamentals

sickn33/antigravity-awesome-skills

Step-by-step framework for preparing web content to earn citations from AI-powered search engines by aligning structure, entities, and technical signals with citation criteria.

LangChain Agent Framework

Orchestra-Research/AI-Research-SKILLs

LangChain is a framework for building LLM-powered agents, chains, and RAG workflows with multi-provider support, vector stores, memory, and observability, ideal for rapid prototyping and production chatbots or question-answering systems.

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.

Learning Rate Scheduler

learning-rate-scheduler

jeremylongshore/claude-code-plugins-plus-skills

Provides automated guidance for configuring learning rate schedulers during ML training, covering best practices, setup patterns, and framework-ready code snippets for PyTorch, TensorFlow, and Scikit-learn while validating against common standards.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data framework that connects LLMs with documents via ingestion, indexing, and querying for RAG, chatbots, and knowledge retrieval, offering connectors, vector indices, query engines, and agents.

MLflow Lifecycle Tracker

Orchestra-Research/AI-Research-SKILLs

MLflow provides a framework-agnostic ML lifecycle toolkit for tracking experiments, logging models/artifacts, managing registries with versions/stages, and deploying across platforms so teams can reproduce and collaborate on PyTorch, TensorFlow, and Scikit-Learn workflows.

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