optuna-study-creator
Optuna Study Creator - Auto-activating skill for ML Training. Triggers on: optuna study creator, optuna study creator Part of the ML Training skill category.
Optuna Study Creator - Auto-activating skill for ML Training. Triggers on: optuna study creator, optuna study creator Part of the ML Training skill category.
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."
Incident response runbook for Lindy AI integrations. Use when responding to incidents, troubleshooting outages, or creating on-call procedures. Trigger with phrases like "lindy incident", "lindy outage", "lindy on-call", "lindy runbook".
Triton Inference Config - Auto-activating skill for ML Deployment. Triggers on: triton inference config, triton inference config Part of the ML Deployment skill category.
Install and configure Deepgram SDK/CLI authentication. Use when setting up a new Deepgram integration, configuring API keys, or initializing Deepgram in your project. Trigger with phrases like "install deepgram", "setup deepgram", "deepgram auth", "configure deepgram API key".
Apply Deepgram security best practices for API key management and data protection. Use when securing Deepgram integrations, implementing key rotation, or auditing security configurations. Trigger with phrases like "deepgram security", "deepgram API key security", "secure deepgram", "deepgram key rotation", "deepgram data protection".
Build production-ready AI agents using Google's Agent Development Kit with AI assistant integration, React patterns, multi-agent orchestration, and comprehensive tool libraries. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Execute Juicebox people search workflow. Use when building candidate sourcing pipelines, searching for professionals, or implementing talent discovery features. Trigger with phrases like "juicebox people search", "find candidates juicebox", "juicebox talent search", "search professionals juicebox".
Optimize context window usage and token efficiency. Use when managing costs or hitting context limits. Trigger with phrases like 'openrouter context', 'openrouter tokens', 'reduce tokens', 'context window'.
Configure Retell AI local development with hot reload and testing. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Retell AI. Trigger with phrases like "retellai dev setup", "retellai local development", "retellai dev environment", "develop with retellai".
Execute work with multiple providers through OpenRouter. Use when comparing providers or building provider-agnostic systems. Trigger with phrases like 'openrouter providers', 'openrouter multi-model', 'compare models', 'provider selection'.
Build explore and query the OpenRouter model catalog programmatically. Use when selecting models or checking availability. Trigger with phrases like 'openrouter models', 'list openrouter models', 'openrouter model catalog', 'available models openrouter'.
Create a minimal working Instantly example. Use when starting a new Instantly integration, testing your setup, or learning basic Instantly API patterns. Trigger with phrases like "instantly hello world", "instantly example", "instantly quick start", "simple instantly code".
Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantization tool Part of the ML Deployment skill category.
Conditional Request Helper - Auto-activating skill for API Development. Triggers on: conditional request helper, conditional request helper Part of the API Development skill category.
Optimize Vast.ai costs through tier selection, sampling, and usage monitoring. Use when analyzing Vast.ai billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "vastai cost", "vastai billing", "reduce vastai costs", "vastai pricing", "vastai expensive", "vastai budget".
Sklearn Pipeline Builder - Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the ML Training skill category.
Implement common SDK patterns for Kling AI integration. Use when building production applications with Kling AI. Trigger with phrases like 'klingai sdk', 'kling ai client', 'klingai patterns', 'kling ai best practices'.
Model Drift Detector - Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category.
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.
This skill optimizes prompts for Large Language Models (LLMs) to reduce token usage, lower costs, and improve performance. It analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more concise and effective. It is used when the user wants to reduce LLM costs, improve response speed, or enhance the quality of LLM outputs by optimizing the prompt. Trigger terms include "optimize prompt", "reduce LLM cost", "improve prompt performance", "rewrite prompt", "prompt optimization".
Torchscript Exporter - Auto-activating skill for ML Deployment. Triggers on: torchscript exporter, torchscript exporter Part of the ML Deployment skill category.
Implement LangChain callback and event handling for webhooks. Use when integrating with external systems, implementing streaming, or building event-driven LangChain applications. Trigger with phrases like "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "callback handler".
Install and configure Fireflies.ai SDK/CLI authentication. Use when setting up a new Fireflies.ai integration, configuring API keys, or initializing Fireflies.ai in your project. Trigger with phrases like "install fireflies", "setup fireflies", "fireflies auth", "configure fireflies API key".