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.
Decision summary
Time LLM is the strongest overall pick here because it has a 90/100 readiness score and fits GitHub automation.
Strongest overall
Time LLM
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Time LLM
Best first install candidate based on install readiness and adoption.
Freshest repo
Time LLM
Most recent maintenance signal among this shortlist.
| Signal | Time LLM [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models" |
|---|---|
| Quality | 88/100 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. |
| Adoption | 2.7K stars 0 installs |
| Freshness | Oct 15, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add KimMeen/Time-LLM |