10 boosters for "logging" — open source, verified from GitHub, ready to install
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
Trackio is an ML experiment tracking library that integrates with Hugging Face to log metrics, visualize training progress, and trigger alerts during model development. It's useful for ML engineers and researchers who need real-time monitoring and experiment management.
Ensure every critical action is logged (vital for UAG/Trust Room).
Heuristic scoring (no AI key configured).
"name": "golang-skills", "description": "20 modular skills for idiomatic Go — each under 225 lines, backed by 48 reference files, 8 automation scripts (all with --json, --limit, --force), and 4 asset templates. Covers error handling, naming, testing, concurrency, interfaces, generics, documentation,
"description": "Recover conversation context when Claude loses track, with interactive browsing and observability logging",
Provides Cursor IDE rules for writing idiomatic, zero-boilerplate Kotlin logging code using KSP and kotlin-logging. Ideal for Kotlin developers who want to enforce consistent, compiler-checked logger generation patterns across their projects.
A comprehensive MongoDB security and administration agent that teaches and implements authentication methods (SCRAM/X.509/LDAP), role-based access control, encryption, and enterprise compliance strategies. Ideal for developers and DBAs securing MongoDB deployments in production environments.
Quinn is a senior DevOps & security engineer agent that guides teams through deployment pipelines, CI/CD automation, secrets management, Docker containerization, and security hardening. Ideal for developers and DevOps engineers building reliable, secure release workflows.
