vertex-ai-media-master
Execute automatic activation for all google vertex ai multimodal operations operations. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
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Execute automatic activation for all google vertex ai multimodal operations operations. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Configure Lindy AI webhooks and event handling. Use when setting up webhooks, handling events, or building event-driven integrations. Trigger with phrases like "lindy webhook", "lindy events", "lindy event handler", "lindy callbacks".
Implement Retell AI lint rules, policy enforcement, and automated guardrails. Use when setting up code quality rules for Retell AI integrations, implementing pre-commit hooks, or configuring CI policy checks for Retell AI best practices. Trigger with phrases like "retellai policy", "retellai lint", "retellai guardrails", "retellai best practices check", "retellai eslint".
Vertex Ai Endpoint Config - Auto-activating skill for GCP Skills. Triggers on: vertex ai endpoint config, vertex ai endpoint config Part of the GCP Skills skill category.
Execute this skill empowers AI assistant to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. it analyzes user preferences, item features, and interaction data to generate personalized recommendations... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Hyperparameter Tuner - Auto-activating skill for ML Training. Triggers on: hyperparameter tuner, hyperparameter tuner Part of the ML Training skill category.
Troubleshoot common Lindy AI errors and issues. Use when encountering errors, debugging agent failures, or resolving integration problems. Trigger with phrases like "lindy error", "lindy not working", "debug lindy", "lindy troubleshoot".
Configure webhooks for Kling AI job completion notifications. Use when building event-driven video pipelines or need real-time job status updates. Trigger with phrases like 'klingai webhook', 'kling ai callback', 'klingai notifications', 'video completion webhook'.
Configure Retell AI enterprise SSO, role-based access control, and organization management. Use when implementing SSO integration, configuring role-based permissions, or setting up organization-level controls for Retell AI. Trigger with phrases like "retellai SSO", "retellai RBAC", "retellai enterprise", "retellai roles", "retellai permissions", "retellai SAML".
Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
Handle Kling AI rate limits with proper backoff strategies. Use when experiencing 429 errors or building high-throughput systems. Trigger with phrases like 'klingai rate limit', 'kling ai 429', 'klingai throttle', 'klingai backoff'.
Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. Generates weighted scores (0-100%) with actionable recommendations. Use when asked to "validate deploymen... Trigger with phrases like 'validate', 'check', or 'verify'.
Configure LangChain multi-environment setup for dev/staging/prod. Use when managing multiple environments, configuring environment-specific settings, or implementing environment promotion workflows. Trigger with phrases like "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".
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.
This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior. The skill leverages techniques like SHAP and LIME to generate explanations. It is useful when debugging model performance, ensuring fairness, or communicating model insights to stakeholders. Use this skill when the user mentions "explain model", "interpret model", "feature importance", "SHAP values", or "LIME explanations".
Lindy AI SDK best practices and common patterns. Use when learning SDK patterns, optimizing API usage, or implementing advanced agent features. Trigger with phrases like "lindy SDK patterns", "lindy best practices", "lindy API patterns", "lindy code patterns".
Execute Retell AI major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Retell AI, performing major version upgrades, or re-platforming existing integrations to Retell AI. Trigger with phrases like "migrate retellai", "retellai migration", "switch to retellai", "retellai replatform", "retellai upgrade major".
This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".
Deploy LangChain integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up production infrastructure for LangChain apps. Trigger with phrases like "deploy langchain", "langchain production deploy", "langchain cloud run", "langchain docker", "langchain kubernetes".
Create your first project with Cursor AI features. Triggers on "cursor hello world", "first cursor project", "cursor getting started", "try cursor ai", "cursor basics". Use when working with cursor hello world functionality. Trigger with phrases like "cursor hello world", "cursor world", "cursor".