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By athola
Run ONNX ML models locally via an HTTP inference daemon, with automatic Python/ONNX Runtime provisioning and session reminders for knowledge-base commands
npx claudepluginhub athola/claude-night-market --plugin oracleShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Deploy ML models to production
Evaluate and compare ML model performance metrics
ML engineering plugin: Give your AI coding agent ML engineering superpowers.
When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.
ML engineering agents providing expertise in MLOps, model deployment, and inference optimization
AI/ML development: LLM architecture, prompt engineering, ML ops, and NLP with production deployment focus
Autonomous agent orchestrator for full development lifecycles with zero human input, session budget management, and crash recovery
Documentation review, cleanup, and generation with AI slop detection, style learning, and human-quality writing enforcement
Media generation capabilities for terminal recordings (VHS), browser recordings (Playwright), GIF processing, and media composition
Git and workspace operations for active development workflows - commit messages, PR prep, documentation updates, and version management
Modern Python development suite - testing, performance optimization, async patterns, and packaging
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