Results for “sca”

Provides a CTO-level framework for architecting, auditing, and scaling AI-native systems, focusing on state management, observability, and blast radius analysis.

Process PDF files: extract text and tables, merge, split, rotate, watermark, create, encrypt, and OCR scanned documents using Python libraries and command-line tools.

Guides backend development across API design, authentication, databases, performance, security, scalability, and testing, with quick decision guides and defaults for production-ready systems.

Designs scalable GraphQL APIs with schema design, DataLoader for N+1 prevention, and Apollo Client caching, while avoiding common anti-patterns.

Manage Uncloud clusters with the `uc` CLI: bootstrap machines, deploy Compose services, publish ports, configure Caddy ingress, scale, inspect logs, and manage volumes.

Converts Stitch HTML designs into React Native components with StyleSheet, including element mapping, style conversion, and project scaffolding.

Process PDFs with Python libraries and command-line tools: extract text and tables, merge, split, rotate, create, watermark, encrypt, and OCR scanned documents.

Scans frontend files, audits them for responsive layout issues, and applies minimal CSS/className fixes to prevent overflow at small window or mobile sizes.

Scaffold the local env file with required variable stubs from .env.example and code, open it for the user to fill, and verify completeness by key names only — never reading secret values

Select and implement the right Azure compute platform for a workload. Decision tree guides choice based on workload characteristics, scaling needs, and operational maturity. Covers serverless, PaaS, containers, Kubernetes, and IaaS patterns.

Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.

Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality assurance.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.

Create, optimize, and scale paid advertising campaigns across Google, Meta, LinkedIn, X, and TikTok to drive customer acquisition.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Design professional, scalable logos with complete brand identity deliverables including color palettes, typography, format variations, and usage guidelines. Use when the user requests logo design or provides relevant inputs for this workflow.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Expert knowledge for Azure CycleCloud development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when automating CycleCloud via REST/CLI, integrating Slurm, tuning HB/HC VMs, securing SSL/auth, or planning Spot VM use, and other Azure CycleCloud related development tasks. Not for Azure Batch (use azure-batch), Azure HPC Cache (use azure-hpc-cache), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets).

Audit and fix visual hierarchy, spacing, color, and depth in web UIs. Use when the user mentions "my UI looks off", "fix the design", "Tailwind styling", "color palette", "visual hierarchy", "design system", "spacing scale", or "component styling". Also trigger when building consistent design tokens, creating dark mode themes, improving data visualization clarity, or polishing UI details before launch. Covers grayscale-first workflow, constrained design scales, shadows, and component styling. For typeface selection, see web-typography. For usability audits, see ux-heuristics.

Turns a natural-language project specification into a complete, runnable starter repository with real code, tests, and CI configuration for any stack.

Routes Azure VM and Virtual Machine Scale Set (VMSS) requests to the right workflow for recommendation, creation, troubleshooting, capacity reservation, and essential machine management.

Run large-scale parallel and HPC batch jobs on Azure using the Batch SDK for Java, managing pools, jobs, tasks, and compute nodes.

Manage Microsoft Fabric capacities via Azure Resource Manager: provision, scale, suspend, resume, check name availability, and list SKUs using the .NET SDK.

Fine-tune NV-Segment-CT VISTA3D on CT NIfTI labels for smoke testing or dataset adaptation, wrapping the upstream MONAI bundle entrypoint.

Periodically scans Claude Code configuration for redundant, stale, or orphaned items and walks the user through a confirm-each-deletion cleanup.

Audits all Claude skills and commands using a quality checklist and AI holistic judgment, with Quick Scan and Full Stocktake modes.

Provides production-grade Laravel architecture patterns for building scalable, maintainable applications with controllers, services, Eloquent ORM, queues, events, caching, and API resources.

Generate and iterate ad creative at scale, including headlines, hooks, and angles for paid campaigns across multiple platforms.

Scaffolds VS Code custom agent files (.agent.md) with YAML frontmatter, tool configuration, handoffs, and instructions for specialized AI personas.

Scan C# source files for hard-to-test static dependencies and produce a ranked report of static call sites by frequency.