By athola
Local ONNX Runtime inference daemon for ML-enhanced plugin capabilities, provisioning Python 3.11+ and ONNX Runtime via uv with automatic startup and session consistency checks.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub athola/claude-night-market --plugin oracleMeta-skills infrastructure for Claude Code plugin ecosystem - skill authoring, hook development, modular design patterns, and evaluation frameworks
Documentation review, cleanup, and generation with AI slop detection, style learning, and human-quality writing enforcement
Spatial knowledge organization using memory palace techniques - build, navigate, and maintain virtual memory structures for enhanced recall and information management. Includes PR Review Room for capturing review knowledge.
Spec Driven Development toolkit - structured specification, planning, and implementation workflows for systematic feature development
Architecture paradigm selection and implementation planning for software systems
Deploy ML models to production
Evaluate and compare ML model performance metrics
ML engineering plugin: Give your AI coding agent ML engineering superpowers.
ML engineering agents providing expertise in MLOps, model deployment, and inference optimization
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.
AI/ML development: LLM architecture, prompt engineering, ML ops, and NLP with production deployment focus