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Found 48 Skills
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
Build the project, commit all changes, and deploy directly to main. Use when deploying changes to production.
Container orchestration with Docker Compose for multi-container applications, networking, volumes, and production deployment
Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting.
Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment
This skill should be used when users need to sync/promote configuration from staging (aws-staging) to production (aws-prod) environment. It handles image tag synchronization, identifies configuration differences, and manages the promotion workflow. Triggers on requests mentioning "sync to prod", "promote to production", "update prod images", or comparing staging vs production.
Complete guide for Hasura GraphQL Engine including instant GraphQL APIs, permissions, authentication, event triggers, actions, and production deployment
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions "model distillation", "teacher-student training", or wants to deploy a DSPy program as fine-tuned weights for production efficiency.
Environment variable management across Vercel, Convex, and other platforms. Invoke for: trailing whitespace issues, cross-platform parity, Invalid character errors, webhook secrets, API key management, production deployment, dev vs prod configuration.
Modern Python API development with FastAPI covering async patterns, Pydantic validation, dependency injection, and production deployment
Expert-level Flask web development, REST APIs, extensions, and production deployment
Install dependencies with Bun package manager