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.
Decision summary
Cheetah is the strongest overall pick here because it has a 96/100 readiness score and fits Coding agents.
Strongest overall
Cheetah
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
CTCDecoder
Best first install candidate based on install readiness and adoption.
Freshest repo
Cheetah
Most recent maintenance signal among this shortlist.
| Signal | Neural Sp End-to-end ASR/LM implementation with PyTorch | Cheetah On-device streaming speech-to-text engine powered by deep learning | FireRedASR2S A SOTA Industrial-Grade All-in-One ASR system with ASR, VAD, LID, and Punc modules. FireRedASR2 supports Chinese (Mandarin, 20+ dialects/accents), English, code-switching, and both speech and singing ASR. FireRedVAD supports speech/singing/music in 100+ langs. FireRedLID supports 100+ langs and 20+ zh dialects. FireRedPunc supports zh and en. | CTCDecoder Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python. |
|---|---|---|---|---|
| Quality | 54/100 Needs review | 85/100 Excellent | 85/100 Excellent | 77/100 Strong |
| Decision verdict | 56/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 96/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 96/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 88/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 594 stars 0 installs | 665 stars 0 installs | 551 stars 0 installs | 836 stars 0 installs |
| Freshness | Aug 30, 2021 | Jun 10, 2026 | Jun 2, 2026 | Jan 31, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Speech, Claude Code | Python, Speech, Claude Code | Python, Speech, Claude Code | Python, Speech, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add hirofumi0810/neural_sp | $ npx skills add Picovoice/cheetah | $ npx skills add FireRedTeam/FireRedASR2S | $ npx skills add githubharald/CTCDecoder |