Find the perfect capability for your agent.
Optimize LangChain application performance and latency. Use when reducing response times, optimizing throughput, or improving the efficiency of LangChain pipelines. Trigger with phrases like "langchain performance", "langchain optimization", "langchain latency", "langchain slow", "speed up langchain".
This skill enables Claude to process and analyze images using computer vision techniques. It's used to perform tasks such as object detection, image classification, and image segmentation. Use this skill when a user requests analysis of an image, asks for identification of objects within an image, or needs help with other computer vision related tasks. Trigger terms include "analyze image", "object detection", "image classification", "image segmentation", "computer vision", "process image", or when the user provides an image and asks for insights.
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."
Execute use Cascade for intelligent debugging and error analysis. Activate when users mention "debug with ai", "error analysis", "cascade debug", "find bug", or "troubleshoot code". Handles AI-assisted debugging workflows. Use when debugging issues or troubleshooting. Trigger with phrases like "windsurf debugging ai", "windsurf ai", "windsurf".
Create effective custom prompts for Cursor AI. Triggers on "cursor prompts", "prompt engineering cursor", "better cursor prompts", "cursor instructions". Use when working with cursor custom prompts functionality. Trigger with phrases like "cursor custom prompts", "cursor prompts", "cursor".
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".
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.
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".
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'.
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'.
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".
Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
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".
Vertex Ai Deployer - Auto-activating skill for ML Deployment. Triggers on: vertex ai deployer, vertex ai deployer Part of the ML Deployment skill category.
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".
This skill enables Claude to validate the ethical implications and fairness of AI/ML models and datasets. It is triggered when the user requests an ethics review, fairness assessment, or bias detection for an AI system. The skill uses the ai-ethics-validator plugin to analyze models, datasets, and code for potential biases and ethical concerns. It provides reports and recommendations for mitigating identified issues, ensuring responsible AI development and deployment. Use this skill when the user mentions "ethics validation", "fairness assessment", "bias detection", "responsible AI", or related terms in the context of AI/ML.
