2,226 tools found
A Python skill for building persistent agents on Azure AI Foundry with the Microsoft Agent Framework SDK, function/hosted/MCP tools, and threads.
Covers agent memory architecture - semantic, episodic and procedural memory, vector store selection, chunking strategies, decay, and 7 sharp edges.
Four-phase workflow for systematically improving an existing agent: baseline metrics, prompt engineering, A/B testing, and staged rollout.
Skill for designing agent tools - JSON Schema, MCP tools, error handling, and parallel execution - since the LLM only sees the schema.
Guides discovery and comparison of autonomous AI agents via the AgentFolio directory, so you research the landscape before building your own.
Python skill for building container-based hosted agents in Azure AI Foundry via ImageBasedHostedAgentDefinition and the Projects SDK.
A 7-phase workflow bundle for building autonomous AI agents, multi-agent systems, and orchestration with CrewAI and LangGraph.
Expert guidance for designing autonomous AI agents: ReAct patterns, memory architectures, multi-agent orchestration, and failure modes.
An AI engineer skill for building production LLM applications, advanced RAG systems, and intelligent agents.
Seven-phase bundle orchestrating specialist skills across LLM integration, RAG, agents, ML pipelines, observability, and AI security.
Skill for building production LLM features - validation, streaming, prompt versioning, caching, circuit breakers - plus 9 common failure modes.
An AI Product Architect skill for building profitable AI wrapper products: cost management, prompt engineering, and quality control.
