Production-grade Rust-native trading engine with deterministic event-driven architecture
Directorio de skills
Descubre skills reutilizables para AI agents.
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Resultados de búsqueda: sports-stats
Directorio en inglés📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
Free football data from StatsBomb
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.
Obelisk indexes past agent sessions (Claude Code, Codex, Kimi Code, Pi) into a queryable SQLite database with a CLI skill for agents and an Electron app for humans.
A well tested and comprehensive Golang statistics library package with no dependencies.
ASN / RPKI validity / BGP stats / IPv4v6 / Prefix / URL / ASPath / Organization / IP reputation / IP geolocation / IP fingerprinting / Network recon / lookup API server / Web traceroute server
🍀 Local git statistics including GitHub-like contributions calendars.
A reusable AI agent skill for Claude Code that acts as a Dungeon Master for D&D 5e campaigns with persistent state and optional cinematic display.
computer vision and sports
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.