Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when th...
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Design
Prototype, inspect, and improve product UI, UX, and design implementation flows.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Audit a product screen for UI, accessibility, and implementation drift.
- Turn a design brief into build-ready frontend tasks.
Sandbox-first next steps
Design candidates
Showing 12 of 4988. Adjust filters to narrow the review list without losing job context.
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.
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Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.
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This skill helps you design and implement robust LLM applications by applying production-ready patterns for RAG, agents, prompts, and observability.
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You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
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This skill guides and implements production-grade LangChain LangGraph agents using async patterns, best practices, and observability for scalable AI systems.
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Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
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This skill enables LLM function calling to execute external tools and return structured results for seamless integrations.
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This skill provides production-ready LLM integration patterns for function calling, streaming, local inference, and fine-tuning to streamline tool use.
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Evaluating LLMs as Agents
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Ultrafast Lifelike AI Speech
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LMQL is a programming language for LLMs.
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Review links
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.