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Experiment Tracking Setup

setting-up-experiment-tracking

jeremylongshore/claude-code-plugins-plus-skills

Automates the setup of ML experiment tracking with MLflow or W&B, configures the environment, initializes servers, and supplies snippets for logging parameters, metrics, and artifacts so runs stay reproducible and easy to compare.

TensorBoard Visualization Toolkit

Orchestra-Research/AI-Research-SKILLs

TensorBoard is Google’s ML visualization toolkit for tracking training metrics, comparing experiments, inspecting model graphs, projecting embeddings, and profiling performance in PyTorch and TensorFlow workflows.

Hyperparameter Optimization Assistant

tuning-hyperparameters

jeremylongshore/claude-code-plugins-plus-skills

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

Weights And Biases Platform

weights-and-biases

Orchestra-Research/AI-Research-SKILLs

Weights & Biases streamlines MLOps by logging metrics, configs, and artifacts, offering dashboards to monitor training, compare runs, optimize sweeps, and share models with teams.

YouTube Competitor Research

jeremylongshore/claude-code-plugins-plus-skills

Gathers and analyzes competitor YouTube channels, trending topics, and content gaps to inform a creator’s strategy with data-backed opportunities, channel metrics, and structured reporting.

AlphaFold Structure Access

alphafold-database

K-Dense-AI/claude-scientific-skills

Retrieve AlphaFold’s AI-predicted protein models via UniProt IDs, download CIF/PDB coordinates, inspect confidence metrics, and feed them into structural analysis or drug-discovery pipelines.

AI Recommendation Canvas

recommendation-canvas

deanpeters/Product-Manager-Skills

Use the Recommendation Canvas to vet AI product concepts by mapping business and customer outcomes, hypotheses, positioning, risks, and success metrics so you can make defensible investment recommendations.

Monitor Experiment Results

monitor-experiment

wanshuiyin/Auto-claude-code-research-in-sleep

Track running experiments by inspecting remote screen sessions, gathering logs, parsing JSON outputs, and optionally pulling WandB metrics before summarizing baselines, deltas, and costs for Vast.ai or Modal runs.

Trackio ML Monitoring

hugging-face-trackio

sickn33/antigravity-awesome-skills

Trackio captures ML training metrics, alerts, and CLI queries, syncing data to Hugging Face Spaces so you can log, monitor, and react to experiments programmatically and via dashboards.

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