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Found 1,614 Skills
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Build trading systems in the style of Two Sigma, the systematic investment manager pioneering machine learning at scale. Emphasizes alternative data, distributed computing, feature engineering, and rigorous ML infrastructure. Use when building ML pipelines for alpha research, feature stores, or large-scale backtesting systems.
定时任务管理
Monitor infrastructure, APM, logs, and metrics on Datadog
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
Kubernetes Secrets Manager - Auto-activating skill for DevOps Advanced. Triggers on: kubernetes secrets manager, kubernetes secrets manager Part of the DevOps Advanced skill category.
Connect to a running ComfyUI instance, queue workflows, monitor execution, and retrieve results. Supports both online (REST API) and offline (JSON export) modes. Use when executing ComfyUI workflows or checking server status.
Fast-track an urgent fix through a streamlined pipeline. Skips Product/Feature Council, applies the fix, runs a focused review, and creates a PR with optional Deployment Council. Use for production bugs, security patches, or critical regressions that cannot wait for the full planning pipeline.
Add PostHog LLM analytics to trace AI model usage. Use after implementing LLM features or reviewing PRs to ensure all generations are captured with token counts, latency, and costs. Also handles initial PostHog SDK setup if not yet installed.
Host and process metrics including CPU, memory, disk, network, containers, and process-level telemetry. Monitor infrastructure health and resource utilization.
Use these skills when you need to provision new AlloyDB clusters and instances, monitor their creation status, and retrieve high-level configuration or health data for the environment.
Implement background job processing systems with task queues, workers, scheduling, and retry mechanisms. Use when handling long-running tasks, sending emails, generating reports, and processing large datasets asynchronously.