Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Tfoptflow is the strongest overall pick here because it has a 55/100 readiness score and fits Sports analytics.

Strongest overall

Tfoptflow

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Tfoptflow

Best first install candidate based on install readiness and adoption.

Freshest repo

Tfoptflow

Most recent maintenance signal among this shortlist.

SignalTfoptflow

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Quality
53/100
Needs review
Decision verdict
55/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption530 stars
0 installs
FreshnessAug 1, 2019
Use-case fit
Workflow fit
Platform hintsJupyter Notebook, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add philferriere/tfoptflow