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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

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Decision summary

ParallelWaveGAN is the strongest overall pick here because it has a 75/100 readiness score and fits Coding agents.

Strongest overall

ParallelWaveGAN

Shortlist this skill and compare it with close alternatives before production adoption.

Fastest prototype

ParallelWaveGAN

Best first install candidate based on install readiness and adoption.

Freshest repo

ParallelWaveGAN

Most recent maintenance signal among this shortlist.

SignalParallelWaveGAN

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

Quality
73/100
Strong
Decision verdict
75/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption1.6K stars
0 installs
FreshnessApr 22, 2024
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Workflow fit
Coding review agentContent growth agent
Platform hintsJupyter Notebook, Voice, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best for
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Coding agents 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 kan-bayashi/ParallelWaveGAN