Skill UI

This skill guides the management of CI/CD pipelines within KubeSphere DevOps. It utilizes Kubernetes Custom Resources (CRs) to define, trigger, and monitor complex build workflows, seamlessly integrating with Jenkins concepts in a cloud-native manner. Use it for automating build, test, and deployment processes for applications running on Kubernetes.

KubeSphere Core acts as the central operating system for cloud-native application management built on Kubernetes. It provides essential functions, including API aggregation, multi-cluster routing, and multi-tenant separation. It manages core resources and simplifies complex cloud-native deployment and operation tasks.

A comprehensive coach guiding developers through the entire SaaS lifecycle: from initial idea and scaffolding (Next.js) to building MVP features, integrating AI, setting up authentication, implementing payment systems (Stripe/LemonSqueezy), and achieving global deployment (Cloudflare/Vercel). Focuses on pragmatic, 'ship first' architecture decisions for solo developers and indie hackers.

Submit and manage protocols on Ginkgo Bioworks Cloud Lab for autonomous lab execution via Reconfigurable Automation Carts: protein expression and purification, HiBiT/A280/LabChip quantitation, IVT mRNA/circRNA synthesis, thermal shift assays, Echo-MS methods, SPR onboarding.

Modal is a serverless cloud platform for running Python code on demand, including GPU-accelerated AI/ML workloads. Use for deploying models, serving web APIs, batch processing, and scaling Python applications to cloud containers with automatic scaling from zero to thousands of instances. Supports custom container images, persistent storage, and sub-second cold starts for low-latency inference.

High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Supports overlap, nearest, merge, coverage, complement and subtract for BED/VCF/BAM/GFF files, with streaming and cloud-native access as a faster bioframe alternative.

Store and process large N-dimensional arrays with chunking, compression, and parallel I/O. Supports cloud stores like S3/GCS via fsspec and integrates with NumPy, Dask, and Xarray for scientific pipelines.

A comprehensive guide and toolkit for optimizing and monitoring consumption-based costs across the Adobe Creative Cloud ecosystem. It provides strategies and code snippets for tracking usage (credits, transactions) for Firefly, PDF Services, Photoshop, and Lightroom APIs. Use this when implementing usage monitoring, managing billing alerts, or reducing operational expenses related to Adobe API calls.

This guide provides comprehensive strategies to significantly reduce spending on the Anthropic Claude API. Key techniques include model routing (selecting the most cost-effective model for the task), prompt caching for repeated prompts, using Message Batches for asynchronous tasks, and implementing real-time spend tracking and budget alerts. Essential for managing large-scale, high-cost AI deployments and optimizing cloud LLM expenditures.

This comprehensive guide addresses common and complex errors encountered when automating Apple Notes on macOS using JXA or osascript. It covers three major areas: TCC permission denials, AppleEvent communication failures, and iCloud synchronization issues. The document provides a detailed error reference table, root cause analysis, tested fixes, and diagnostic scripts to help developers successfully automate Notes tasks.

This guide provides comprehensive strategies and scripts for optimizing Apple Notes storage usage within iCloud. It helps users understand how Notes, attachments, and backups contribute to overall iCloud consumption, enabling them to stay within free tiers or plan for necessary upgrades. Includes scripts for auditing storage, archiving old notes, and moving large content to local storage.

This runbook provides systematic procedures for diagnosing and resolving common automation failures specific to Apple Notes on macOS. It covers critical local issues like app crashes, iCloud sync failures, TCC permission revocations, and database corruption, following a comprehensive detect-diagnose-fix-verify cycle. Essential for maintaining reliable Notes automation workflows.