Football analytics agents
Ranked OpenAgentSkill shortlist for agents building football dashboards, World Cup analysis, xG research, match prediction, and scouting workflows.
Builders creating football, sports analytics, World Cup, scouting, and match intelligence agents. Ranked from the OpenAgentSkill index using quality, trust, freshness, adoption, and install readiness.
Search intent
These pages are generated from real registry records. The list below is not a generic article; every row links to a skill profile with install, trust, audit, and risk fields.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Excellent quality, 62K stars, and a 19 use-case fit score.
Best suited scenario
Search sources
$ npx skills add mvanhorn/last30days-skill -gApple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
Excellent quality, 34K stars, and a 18 use-case fit score.
Best suited scenario
Inspect visual requirements
$ npx skills@latest add emilkowalski/skillsOfficial Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.
Excellent quality, 17K stars, and a 17 use-case fit score.
Best suited scenario
Load football datasets
$ npx skills add larksuite/cliA reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Excellent quality, 21K stars, and a 17 use-case fit score.
Best suited scenario
Inspect source files
$ npx skills add marimo-team/marimoSelection method
OpenAgentSkill scores each candidate against the workflow keywords, then balances fit with GitHub stars, quality signals, trust profile, Agent Proven outcome evidence, maintenance freshness, and whether there is a clear install path.
The ranking combines workflow fit, quality score, trust profile, GitHub adoption, maintenance freshness, and whether a clear install path exists.
No. Treat the list as a shortlist, open the skill detail page, inspect the repository and license, then test the install command in a sandbox workflow.
Yes. Use /api/skills/search with the related task or /api/agent/rankings?slug=best-football-analytics-skills to fetch ranked skill data.