ai-provider-selectorlisted

# AI Provider Selector ## Purpose Recommend the best AI provider and model for a project based on what the project actually needs. This skill exists to prevent AI-powered projects from defaulting to the most-hyped model before the real requirements have been examined. The provider and model a project is built on matters deeply: - it affects output quality for the specific task type - it affects cost at production scale - it affects ecosystem tooling and SDK maturity - it affects latency, streaming, and availability - it affects how much the product can trust the model for autonomous or agent tasks This skill treats model selection as a real architecture decision, not a marketing preference. ## When to Use Use this skill when: - the project is AI-powered (uses an LLM or AI API as a core part of its product) - the architect agent needs a provider and model recommendation grounded in project reality - the orchestrator identifies AI provider selection as an open decision - the blueprint stage is active and model selection has not been locked ## When Not to Use Do not use this skill when: - the project does not use AI as a core component - the provider is already decided and validated - the task is only to inspect or resume context ## Required Context Minimum required input: - use case: what is the AI being used for in this product? Helpful optional inputs: - quality priority: is output quality the #1 concern, or is cost or speed more important? - cost sensitivity: