chichengma778/world-cup-match-predictor
Open-source Codex skill and Python model for World Cup match prediction, score probabilities, and risk-aware football analysis.
Open-source Codex skill and Python model for World Cup match prediction, score probabilities, and risk-aware football analysis.
npx skills add chichengma778/world-cup-match-predictorOpen-source Codex skill and Python model for World Cup match prediction, score probabilities, and risk-aware football analysis.
here.now lets agents publish websites and store private files in cloud Drives. Use Sites to publish HTML, documents, images, PDFs, videos, and static files to live URLs at {slug}.here.now or custom domains. Use Drives as private cloud folders where agents can store files (documents, context, memory, plans, assets, media, research, code, etc), share them with other agents, and continue across sessions and tools. Use when asked to "publish this", "host this", "deploy this", "share this on the web", "make a website", "put this online", "create a webpage", "generate a URL", "build a chatbot", "save this to my Drive", "store this for later", "write this to cloud storage", "share a folder with another agent", or "use my here.now Drive". Also use when asked to "password protect this site", "make this site private", or "share this site with only certain people".
Dockerfile and compose.yml for Claude Code with LiteLLM proxy
♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️
Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis. Triggers on "run codeql", "codeql scan", "codeql analysis", "build codeql database", or "find vulnerabilities with codeql". Supports "run all" (security-and-quality + security-experimental suites) and "important only" (high-precision security findings) scan modes. Also handles creating data extension models and processing CodeQL SARIF output.
Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
CropCode — AI coding agent for agricultural research with DeepSeek V4, MCP, skills marketplace, and multi-session management