Tracking Model Versions

jeremylongshore/claude-code-plugins-plus-skills

Validates messaging consistency across website, GitHub repositories, and local documentation. Generates comprehensive read-only discrepancy reports showing where messaging conflicts or inconsistencies exist. Activates when user mentions "consistency check", "validate documentation", "check for mixed messaging", "audit content consistency", or before updating internal paperwork.

jeremylongshore/claude-code-plugins-plus-skills

Enforces complete Taskwarrior integration protocol for ALL coding tasks. Activates automatically when user mentions "taskwarrior", "task warrior", "tw", or discusses task management. Decomposes all coding work into properly tracked Taskwarrior tasks with full lifecycle: task add → task start → implementation → task done. Integrates with Timewarrior for automatic time tracking.

jeremylongshore/claude-code-plugins-plus-skills

This skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. It is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing transfer learning. It analyzes the user's requirements, generates code for adapting the model, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when you need to leverage existing models for new tasks or datasets, optimizing for performance and efficiency.

jeremylongshore/claude-code-plugins-plus-skills

This skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact. Use this skill when the user requests to "train" a model, needs to evaluate a dataset for machine learning purposes, or wants to optimize model performance. The skill supports common frameworks like scikit-learn.

jeremylongshore/claude-code-plugins-plus-skills

This skill enables Claude to track and optimize application response times. It uses the response-time-tracker plugin to monitor API endpoints, database queries, external service calls, frontend rendering, and background job execution. The plugin calculates P50, P95, and P99 percentiles, average and maximum response times. Use this skill when you need to identify performance bottlenecks, monitor SLOs, or receive alerts about performance degradation. Trigger this skill with phrases like "track response times", "optimize latency", or "monitor application performance".

jeremylongshore/claude-code-plugins-plus-skills

This skill enables Claude to optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. It is used when the user requests hyperparameter tuning, model optimization, or improvement of model performance. The skill analyzes the current context, generates code for the specified search strategy, handles data validation and errors, and provides performance metrics. Trigger terms include "tune hyperparameters," "optimize model," "grid search," "random search," and "Bayesian optimization.