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 4 skills

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

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Decision summary

Transformers is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.

Strongest overall

Transformers

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Transformers

Best first install candidate based on install readiness and adoption.

Freshest repo

Transformers

Most recent maintenance signal among this shortlist.

SignalWhisper Timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

LLMs From Scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Nndl

邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版

Transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Quality
88/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
90/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption2.8K stars
Verified outcomes are shown on each skill page
97K stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
162K stars
Verified outcomes are shown on each skill page
FreshnessSep 9, 2025Jun 2, 2026Jun 1, 2026Jun 16, 2026
Use-case fit
Workflow fit
Platform hintsPython, Machine Learning, Claude CodeJupyter Notebook, Machine Learning, Claude Code, OpenAI AgentsMachine Learning, Claude CodePython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsMultimodal media workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add linto-ai/whisper-timestamped
$ npx skills add rasbt/LLMs-from-scratch
$ npx skills add nndl/nndl
$ npx skills add huggingface/transformers