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
LLM PySC2 is the strongest overall pick here because it has a 38/100 readiness score and fits Sports analytics.
Strongest overall
LLM PySC2
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
LLM PySC2
Best first install candidate based on install readiness and adoption.
Freshest repo
LLM PySC2
Most recent maintenance signal among this shortlist.
| Signal | LLM PySC2 LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment. |
|---|---|
| Quality | 48/100 Needs review |
| Decision verdict | 38/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 156 stars Verified outcomes are shown on each skill page |
| Freshness | Apr 24, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, LLM, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add NKAI-Decision-Team/LLM-PySC2 |