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
Pyod is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Pyod
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pyod
Best first install candidate based on install readiness and adoption.
Freshest repo
Awesome Prompt Engineering
Most recent maintenance signal among this shortlist.
| Signal | Awesome Prompt Engineering This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc | Pyod A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents. | Darts A python library for user-friendly forecasting and anomaly detection on time series. | Pyro Deep universal probabilistic programming with Python and PyTorch |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 6.0K stars 0 installs | 9.9K stars 0 installs | 9.4K stars 0 installs | 9.0K stars 0 installs |
| Freshness | Jun 14, 2026 | Jun 5, 2026 | Jun 6, 2026 | Jun 5, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, Machine Learning, Claude Code, OpenAI Agents | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | 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 | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 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 | 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 promptslab/Awesome-Prompt-Engineering | $ npx skills add yzhao062/pyod | $ npx skills add unit8co/darts | $ npx skills add pyro-ppl/pyro |