footballbin-predictionsGet AI-powered match predictions for Premier League and Champions League including scores, next goal, and corners.
Install via ClawdBot CLI:
clawdbot install billychl1/footballbin-predictionsRequires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://apps.apple.com/app/footballbin/id6757111871Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Sports journalists and media outlets can use this skill to enrich match previews and analysis articles with AI-generated predictions for Premier League and Champions League fixtures. By integrating predictions on scores, next goal scorers, and corner counts, they can provide data-driven insights to engage readers and differentiate their content in a competitive digital landscape.
Fantasy football players and managers can leverage this skill to inform their team selections and transfer decisions based on predicted match outcomes, key players, and goal-scoring likelihoods. By accessing predictions for specific leagues and matchweeks, users can optimize their fantasy lineups to gain a competitive edge in leagues and tournaments.
Television and radio broadcasters can integrate this skill into their live match commentary and pre-game shows to provide real-time AI-powered predictions. Analysts can reference predicted scores, corner counts, and next goal scorers to enhance discussions, offering viewers additional insights and interactive elements during Premier League and Champions League broadcasts.
Sports betting platforms can incorporate this skill to offer users supplementary prediction data for informed wagering decisions on Premier League and Champions League matches. By displaying AI-generated forecasts on scores and key events like next goals, platforms can enhance user engagement and provide value-added services without requiring API keys or sensitive data.
Football clubs and fan communities can use this skill in their mobile apps to deliver personalized match predictions based on team filters and aliases. Fans can check predictions for their favorite teams like Arsenal or Real Madrid, fostering interaction and loyalty through accessible, AI-enhanced content that complements existing app features.
Offer basic prediction data for free through the public endpoint, with rate limits, while charging for premium features like advanced analytics, historical data, or higher request quotas. This model attracts developers and businesses by providing immediate value, then monetizing enhanced services for deeper integration and scalability.
License the prediction technology to sports media companies, betting platforms, or fantasy apps for embedding into their own products. Provide custom integrations with support for specific leagues and team aliases, generating revenue through upfront licensing fees or ongoing royalties based on usage and user engagement metrics.
Partner with brands, advertisers, or sports equipment companies to feature sponsored predictions or branded insights within the skill's output. For example, include sponsored player highlights or product placements in prediction summaries, creating revenue streams through advertising deals without compromising the core free functionality.
💬 Integration Tip
Use the provided shell script with simple commands for predictions, and leverage team aliases like 'city' for Manchester City to streamline user queries without complex setup.
Scored Apr 19, 2026
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Chrome DevTools MCP — Google's official browser automation and testing server. Control Chrome via Puppeteer through MCP protocol: click, fill forms, navigate...
MCP Server Builder
通过 macOS Accessibility API 控制小红书(rednote)App。支持私信、评论回复、视频评论读取、搜索、点赞、收藏、作者数据等。需要 Mac + rednote App 可见 + Terminal 辅助功能权限。
AI-first security intelligence with LLM-powered intent analysis. 743+ findings from 361+ skill audits, 25 pattern rules, 22 attack classes.