Use when choosing which LLM to use for a task. Covers matching capability to task, cost and latency trade-offs, routing between models, benchmark skepticism, and evaluating on your own data.
How to install model-selection?
nimadorostkar/claude-skills-collection/model-selection
$npx -y skills add nimadorostkar/claude-skills-collection --skill model-selectionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/nimadorostkar/claude-skills-collection" --skill "nimadorostkar/claude-skills-collection/model-selection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nimadorostkar/claude-skills-collection" that are relevant to the current task. Run `npx skills add "https://github.com/nimadorostkar/claude-skills-collection"` and select the relevant skills, then follow their instructions.
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