From ai-model-research
Use when the user wants to find a cheaper or otherwise-similar alternative to a specific OpenRouter model — returns 3–5 ranked alternatives with trade-offs explicit.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-model-research:or-find-alternativeThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Search for substitute models on OpenRouter that match the user's reference model in key capabilities while optimizing for cost, latency, or other constraints. Returns ranked candidates with explicit capability deltas.
Search for substitute models on OpenRouter that match the user's reference model in key capabilities while optimizing for cost, latency, or other constraints. Returns ranked candidates with explicit capability deltas.
mcp__model-scout__get_model with the reference model ID; extract its specs: pricing, context length, modalities, tool support, approximate quality tier, and provider.mcp__model-scout__consider_models with the reference model's capabilities as filters and an "alternatives" intent, specifying the user's optimization goal (e.g. lower cost, same quality).User receives a ranked list of 3–5 alternatives with clear trade-offs. No persistent artifacts.
Never present a cheaper alternative as a "free lunch." Always highlight what is being traded: quality regression, reduced context, missing modalities, or latency increases. Confirm the user's priority (cost, quality, speed) before recommending.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin ai-model-researchGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.