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Agents for finance, trading, marketing, sales, support, CRM, HR, and operational business tasks.
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Build multi-agent AI pipelines with Claude — no API key needed. Agents, orchestration, parallel workflows, structured output, tools, MCP, and more.
This skill dispatches multiple subagents to handle independent tasks in parallel, maximizing throughput when tasks have no shared state or sequential
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
Human-in-the-loop approval, custom middleware, and structured output patterns for LangChain agents. \n \n HumanInTheLoopMiddleware pauses execution before da…
This skill helps you master production-grade LangChain orchestration across chains, agents, memory, and RAG patterns for scalable LLM applications.
Annotation-based and programmatic tool system for LangChain4j agents to execute external functions, APIs, and services. \n \n Define tools using @Tool annota…
This skill helps you browse, install, and manage LarryBrain skills instantly, unlocking unlimited library access for OpenClaw agents.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
This skill helps you design and implement robust LLM applications by applying production-ready patterns for RAG, agents, prompts, and observability.
This skill helps you manage Lunara Voice AI agents, campaigns, calls, and analytics end-to-end with automated workflows.
Improve visibility in AI search and answer engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) using GEO: crawl controls (robots/WAF/llms.txt), answer-ready content and entity pages, citation strategy, and measurement (query bank, share of model).
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287 matching candidates for Business Operations. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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