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Best Agent Skills preview

Best Agent Skills

Daily rankings of agent skills across registries, with Jev judging social relevance, listing quality and category.

Added to Jevfast

How it uses Jev

The daily collection pipeline uses Jev to judge whether social posts concern a skill, whether a skill listing is maintained and legitimate, and which category fits; ranking data retains original per-platform counts alongside the judgments.

What Jev decides

Illustrative Jev requestExample answers · not a recorded Jev response · Source ↗
Question 1 · is skill
YOUR APP
INSTRUCTION

Is listing a real AI agent skill?

STATE

One skill listing: name, registry, publisher/source repository and description.

JEV · NOUL
YesNo

App workflow

  1. Collect skill signals

    Aggregate skill listings and install or growth counts from supported registries, along with relevant social posts.

  2. Judge relevance and quality

    Ask Jev whether posts concern each skill, whether listings are maintained, and which category applies.

  3. Build daily rankings

    Combine judged records with within-platform percentile scores rather than adding incomparable raw counts.

  4. Publish auditable results

    Refresh ranking tables and CSVs while retaining per-platform counts and judgment probabilities.

Why it is interesting

It uses typed semantic judgments to filter noisy cross-registry and social signals, while publishing probabilities and raw platform counts so readers can inspect the basis for rankings.