Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
mono-color
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
mono-color
Best first install candidate based on install readiness and adoption.
Freshest repo
cfb-data
Most recent maintenance signal among this shortlist.
| Signal | cfb-data College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, CFB news, or FCS games. Don't use when: user asks about NFL (use nfl-data), college basketball (use cbb-data), or non-sports topics. | mono-color Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only. |
|---|---|---|
| Quality | 70/100 Strong | 100/100 Excellent |
| Decision verdict | 69/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 211 stars Verified outcomes are shown on each skill page | 1.9K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 4, 2026 | Sep 1, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Claude Code |
| Warnings | Conference ID table lists both Pac-12 and MAC with ID 15, which is likely a typo (MAC should be a different ID). · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository 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 |
| Install | $ npx skills add machina-sports/sports-skills --skill cfb-data | $ npx skills add yanliudesign/mono-color-skill --skill mono-color |