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vectorize-ollama vs discussion

vectorize-ollama and discussion are both search and web skills. discussion scores higher (84 vs 18 out of 100). discussion has more GitHub stars (5.9k), and discussion was updated more recently (8 days ago). The table compares them side by side.

vectorize-ollamadiscussion
Score18 / 10084 / 100
What it doesCreate embeddings with gpt-oss:120b-cloud or other models via Ollama. Use this skill to turn text into vector representations for semantic search or comparison.Runs structured multi-agent discussions for open-ended typia topics. Use only when the user explicitly asks for Discussion or a team debate with transcripts and conclusions; do not use for Self-Review, a solo or multi-agent review, research review, or issue discovery.
PublisherCommunity: David-Li0406Community: samchon
GradesMaintenance C, Licence F, Quality CMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars25,944
Last commit14 Jul 202615 Oct 2026
LicenceNone foundMIT
Listed since19 Oct 202620 Oct 2026
Install vectorize-ollamaInstall discussion

Questions

Is vectorize-ollama or discussion more popular?

discussion has more GitHub stars: 5,944.

Can I use vectorize-ollama and discussion together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.