Results for “ma”

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.

Infrastructure-as-code with Terraform/OpenTofu — resources, state, modules, plan/apply. Use when writing `.tf` files, managing cloud infrastructure with Terraform or OpenTofu, handling state and backends, or reviewing IaC code.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, platform ops.

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.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment 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 Key Vault development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing vault/HSM keys & secrets, Private Link, Event Grid, key rotation, or RBAC vs access policies, and other Azure Key Vault related development tasks. Not for Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm), Azure Payment Hsm (use azure-payment-hsm), Azure Information Protection (use azure-information-protection).

Build, slice, concatenate, read, and write AnnData annotated data matrices (obs, var, X, layers, obsm, uns) — the scverse data STRUCTURE, not an analysis pipeline. Use when creating or wrangling .h5ad/zarr files, managing cell and gene annotations, concatenating batches, or handling layers/obsm/backed-mode; for the QC, normalization, clustering, UMAP, and differential-expression analysis pipeline prefer alterlab-scanpy instead, and for RNA velocity from spliced/unspliced layers prefer alterlab-scvelo instead. Part of the AlterLab Academic Skills suite.

Upload, download, list, and manage blobs and containers in Azure Blob Storage using the Python SDK with best-practice authentication via DefaultAzureCredential.

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

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

Query, inspect, and manage Redis databases from the command line using redis-cli, covering connection, data operations, scanning, and server diagnostics.

Optimize MSBuild build parallelism by configuring /maxcpucount, graph build mode, project references, and analyzing binlogs to reduce multi-project solution build times.

Deploy and configure Generic VNIC Attachment (GVA) for OCI Kubernetes Engine (OKE), including node pool creation with secondary VNIC profiles and workload mapping.

Build, configure, scaffold, and deploy OCI Functions from a local machine using a dependency-first, Fn-context-guided flow with structured confirmations.

Routes user requests to specialist skills for AEM 6.5 LTS workflow model design, custom step development, launcher configuration, triggering, debugging, and triaging.

Monitor and react to content distribution lifecycle events using the Sling Distribution API, covering event handling, queue monitoring, and distribution tracking.

Embed before/after screenshots and annotated images in pull request descriptions to help reviewers see visual changes without checking out the branch.

Establish a structured operational process to triage, test, and deploy Microsoft Patch Tuesday security updates within risk-based remediation SLAs.

Automates the full lifecycle of SSL/TLS certificates—requesting, issuing, deploying, monitoring, renewing, and revoking—using Python and ACME protocol tools.

Bridge any skill folder or directory of skill folders to Claude Code, Codex, generic Agents, and Grok using symlinks plus Grok bridge files.

Deploy multilingual static websites for free on Cloudflare using the Astro framework, with support for i18n content, content collections, and direct or Git-based deployment.

Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Provides detailed guidance on Hermes Kanban worker lifecycle, including workspace handling, handoff patterns, retry diagnostics, and edge cases for dispatched workers.

Manages a local GitHub knowledge base and searches GitHub via the gh CLI, covering repos, issues, and pull requests.

Hedging Expert Advisor in Python with trailing stop and automated pending orders, converted from MQL5 and cross-platform compatible with mt5linux Docker.

Manages multi-cloud infrastructure declaratively through Kubernetes custom resources, covering Crossplane installation, provider setup, and provisioning of AWS resources like RDS and S3.