fairdb-backup-manager
Automatically manages PostgreSQL backups with pgBackRest and Wasabi S3 storage when working with FairDB databases Activates when you request "fairdb backup manager" functionality.
Automatically manages PostgreSQL backups with pgBackRest and Wasabi S3 storage when working with FairDB databases Activates when you request "fairdb backup manager" functionality.
This skill manages database recovery operations using the database-recovery-manager plugin. It enables disaster recovery, point-in-time recovery (PITR), and automated failover strategies for production database systems. Use this skill when the user requests help with "database recovery", "disaster recovery", "point-in-time recovery", "PITR", "backup validation", "recovery testing", or "multi-region failover" for databases. It automates backup verification and recovery testing.
This skill empowers Claude to preprocess and clean data using automated pipelines. It is designed to streamline data preparation for machine learning tasks, implementing best practices for data validation, transformation, and error handling. Claude should use this skill when the user requests data preprocessing, data cleaning, ETL tasks, or mentions the need for automated pipelines for data preparation. Trigger terms include "preprocess data", "clean data", "ETL pipeline", "data transformation", and "data validation". The skill ensures data quality and prepares it for effective analysis and model training.
This skill enables Claude to design, implement, and manage table partitioning strategies for large databases. It is triggered when the user needs to optimize query performance, manage time-series data, or reduce maintenance windows for tables exceeding 100GB. Use this skill when asked to "create database partitions", "optimize database queries with partitioning", "manage large database tables", or when the user mentions "partitioning strategy", "data archival", or uses the command `/partition`. The skill helps automate partition maintenance and data lifecycle management. It focuses on database best practices and production-ready implementations.
Create airflow operator creator operations. Auto-activating skill for Data Pipelines. Triggers on: airflow operator creator, airflow operator creator Part of the Data Pipelines skill category. Use when working with airflow operator creator functionality. Trigger with phrases like "airflow operator creator", "airflow creator", "airflow".
This skill enables Claude to manage database replication, failover, and high availability configurations using the database-replication-manager plugin. It is designed to assist with tasks such as setting up master-slave replication, configuring automatic failover, monitoring replication lag, and implementing read scaling. Use this skill when the user requests help with "database replication", "failover configuration", "high availability", "replication lag", or "read scaling" for databases like PostgreSQL or MySQL. The plugin facilitates both physical and logical replication strategies.
Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities
Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category.
Optimize Fireflies.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Fireflies.ai integrations. Trigger with phrases like "fireflies performance", "optimize fireflies", "fireflies latency", "fireflies caching", "fireflies slow", "fireflies batch".
Create dataset loader creator operations. Auto-activating skill for ML Training. Triggers on: dataset loader creator, dataset loader creator Part of the ML Training skill category. Use when working with dataset loader creator functionality. Trigger with phrases like "dataset loader creator", "dataset creator", "dataset".
Configure Retell AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Retell AI configurations. Trigger with phrases like "retellai environments", "retellai staging", "retellai dev prod", "retellai environment setup", "retellai config by env".
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.
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.
Configure custom keyboard shortcuts for Cascade and AI features. Activate when users mention "keyboard shortcuts", "keybindings", "hotkeys", "shortcut configuration", or "customize shortcuts". Handles keybinding setup and optimization. Use when working with windsurf keyboard shortcuts functionality. Trigger with phrases like "windsurf keyboard shortcuts", "windsurf shortcuts", "windsurf".
Implement Vast.ai rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Vast.ai. Trigger with phrases like "vastai rate limit", "vastai throttling", "vastai 429", "vastai retry", "vastai backoff".
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".
Execute Perplexity primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "perplexity main workflow", "primary task with perplexity".
Deploy Vast.ai integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Vast.ai-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy vastai", "vastai Vercel", "vastai production deploy", "vastai Cloud Run", "vastai Fly.io".
Configure Cascade AI agent for new team projects. Activate when users mention "setup cascade", "configure windsurf ai", "initialize cascade agent", "new windsurf project", or "onboard team to windsurf". Handles agent configuration, context settings, and team defaults. Use when working with windsurf cascade onboarding functionality. Trigger with phrases like "windsurf cascade onboarding", "windsurf onboarding", "windsurf".
Generate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemini patterns. Use when asked to "show ADK example" or "provide GCP starter kit". Trigger with relevant phrases based on skill purpose.