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

Rbdl is the strongest overall pick here because it has a 52/100 readiness score and fits GitHub automation.

Strongest overall

Rbdl

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

Fastest prototype

Rbdl

Best first install candidate based on install readiness and adoption.

Freshest repo

Rbdl

Most recent maintenance signal among this shortlist.

SignalRbdl

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

Quality
50/100
Needs review
Decision verdict
52/100
Needs manual review

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

Adoption698 stars
0 installs
FreshnessJun 9, 2025
Use-case fit
Workflow fit
Platform hintsC++, Robotics, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forGitHub automation 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 rbdl/rbdl