DevOps & Cloud Infrastructure Bundle | Prompeteer.ai
Infrastructure-as-code, CI/CD pipelines, container orchestration, cloud architecture, and monitoring skills for DevOps professionals.
Included Skills (84)
- Gemini Enterprise Integration — This skill assists developers in implementing Google's Gemini API within the Agent Platform, covering SDK usage, multimodal capabilities, and advanced enterprise features.
- TAO Docker Executor — This tool enables developers to execute TAO SDK jobs within local or remote Docker containers utilizing NVIDIA GPU acceleration for efficient model training.
- RTVI-CV Deployment Manager — This skill enables developers to deploy, operate, and debug the RTVI-CV 2D detection and tracking microservice via its REST API.
- TAO Execution SDK — This SDK enables developers to manage, monitor, and scale NVIDIA TAO GPU training jobs across diverse cloud and local computing platforms.
- Brev GPU Orchestrator — This tool enables developers to manage NVIDIA TAO training and inference workloads by automating GPU instance deployment and job execution via the Brev CLI.
- Deformable DETR Trainer — This skill assists developers in training, evaluating, and deploying efficient Deformable DETR object detection models using the NVIDIA TAO toolkit.
- Lepton GPU Orchestrator — This tool enables developers to manage, dispatch, and monitor TAO container workloads on DGX Cloud Lepton GPU infrastructure without manual cluster configuration.
- OCDNet Text Detector — This tool enables developers to train, evaluate, and deploy OCDNet models for detecting arbitrary-oriented text regions within complex natural images.
- DALI Dynamic Assistant — This assistant helps developers write, review, and migrate deep learning data pipelines using the NVIDIA DALI imperative dynamic-mode API for GPU processing.
- HSB FPGA Flasher — This tool enables developers to safely flash FPGA firmware on HSB Lattice boards and Leopard Imaging VB1940 cameras connected to NVIDIA devkits.
- Holoscan Bridge Setup — This tool automates the end-to-end deployment, container configuration, and connectivity verification of the NVIDIA Holoscan Sensor Bridge for developers and engineers.
- Megatron Testing Framework — This tool assists developers in managing unit and functional tests, configuring recipe YAML files, and maintaining golden values for the Megatron-LM ecosystem.
- NeMo Job Launcher — This tool helps developers configure NeMo AutoModel job submissions for interactive environments, Slurm HPC clusters, and SkyPilot cloud-based execution platforms.
- NeMo Recipe Developer — This tool assists developers in creating and refining NeMo AutoModel training and evaluation recipes through structured YAML configuration and validation.
- SLURM Cluster Executor — This tool enables AI agents to execute TAO training and inference jobs on remote SLURM GPU clusters using SSH, Pyxis, and Enroot containers.
- GPU Portfolio Optimizer — This tool enables quantitative analysts to build, backtest, and optimize high-performance financial portfolios using NVIDIA-accelerated Mean-CVaR algorithms and GPU-based solvers.
- MCP Server Builder — This skill guides developers in designing and building MCP servers for seamless integration with Claude, ensuring correct deployment and tool design.
- Video Calibration Automator — This tool executes AutoMagicCalib on various video inputs and manages microservice deployment to assist engineers in streamlining video search and summarization workflows.
- Optimization Formulation Guide — This guide assists developers in translating complex problem descriptions into structured LP, MILP, and QP mathematical formulations for efficient numerical optimization.
- Agent Development Assistant — Provides guidance and best practices for developing agents, including structure, system prompts, and triggering conditions, specifically for Claude Code plugins.
- Skill Creation Tool — Facilitates the creation, modification, and performance measurement of AI skills, assisting developers in building and optimizing effective tools.
- Pipeline Automation Specialist — Streamlines CI/CD pipeline configuration and quality gate enforcement to help developers ensure consistent code quality and reliable deployment processes.
- TAO Kubernetes Executor — This tool enables developers to deploy and manage NVIDIA TAO container jobs as scalable Kubernetes workloads with automated GPU resource scheduling.
- Production Observability Instrumentation — This skill helps developers integrate logging, metrics, and tracing into their code to ensure production systems remain fully transparent and easily diagnosable.
- VCN Gap Analyzer — This tool identifies weak classification samples for NVIDIA TAO VCN experiments to help engineers optimize decision thresholds and target data for augmentation.
- Production Deployment Assistant — This tool helps software engineers safely manage production releases by providing comprehensive pre-launch checklists, monitoring strategies, and robust rollback plans for high-risk deployments.
- BEVFusion Training Assistant — This tool assists autonomous driving engineers in training, evaluating, and running inference for multi-sensor 3D object detection models using NVIDIA TAO.
- TAO Image Classifier — This tool enables developers to train, distill, and quantize PyTorch-based image classification models using NVIDIA TAO for optimized deployment.
- GPU Memory Optimizer — This tool helps machine learning engineers resolve GPU out-of-memory errors and optimize peak memory usage in Megatron Bridge training environments.
- Megatron Recipe Recommender — This tool helps developers select and customize optimal Megatron Bridge training configurations based on model specifications, hardware constraints, and specific training objectives.
- GPU Dataframe Expert — Provides expert guidance for developers accelerating pandas workflows using NVIDIA cuDF and dask-cuDF to achieve high-performance GPU-based data processing and ETL.
- CuOpt Development Assistant — This skill assists developers in modifying, building, and testing the NVIDIA cuOpt codebase while adhering to established project conventions and workflows.
- LiDAR Detection Trainer — This tool enables developers to train, evaluate, and deploy PointPillars 3D object detection models for autonomous driving and robotics applications using NVIDIA TAO.
- Agent Platform Deployer — This tool enables developers to manage, deploy, and clean up open or custom models on Agent Platform endpoints for efficient resource lifecycle management.
- Legacy Migration Strategist — Assists engineering teams in systematically sunsetting obsolete code, managing complex system migrations, and reducing technical debt to improve long-term software maintainability.
- Architectural Decision Recorder — This tool helps developers and AI agents capture critical technical context and architectural reasoning to ensure long-term codebase maintainability and clarity.
- Adversarial Decision Reviewer — This skill subjects non-trivial technical decisions to rigorous adversarial cross-examination, helping developers ensure correctness and mitigate risks in high-stakes coding environments.
- Frontend UI Engineer — Creates production-quality, accessible, and responsive user interfaces to help developers build polished, design-aware components that exceed standard AI-generated output quality.
- Intent Discovery Interviewer — This tool helps developers clarify ambiguous project requirements by conducting targeted, one-question-at-a-time interviews to uncover the user's true underlying goals and needs.
- Spec Driven Development — This skill guides developers through a structured specification process to clarify requirements and ensure alignment before writing any project code.
- ADR Workflow Manager — This skill creates and maintains Architecture Decision Records (ADRs), optimized for agentic coding workflows, to guide development decisions.
- Project Status Generator — This tool creates comprehensive, tabbed project status pages for complex, multi-workstream initiatives, helping project managers and developers maintain clear, shareable, and up-to-date progress documentation.
- Nemotron Pipeline Orchestrator — This tool enables developers to plan, configure, and execute end-to-end Nemotron customization workflows, including training, optimization, and evaluation pipelines.
- Nemotron Safety Architect — This tool helps developers create custom safety policies, taxonomy, and inference prompts for NVIDIA Nemotron content-safety guardrails to ensure robust model governance.
- Documentation Co-Author — Guides users through a structured workflow for co-authoring documentation, ensuring efficient context transfer and iterative content refinement.
- DevOps Infrastructure Automator — This tool assists engineers by automating CI/CD pipeline generation, infrastructure as code scaffolding, and deployment management across major cloud platforms.
- Checkov Security Scanner — This skill provides expert guidance for using Checkov to scan infrastructure-as-code for security misconfigurations and compliance violations, aiding developers.
- Jenkins Pipeline Manager — Automates Jenkins CI/CD pipeline creation and management, assisting developers and DevOps engineers with build and deployment workflows.
- AWS Cost Optimizer — This skill helps DevOps engineers and cloud administrators automatically identify and remove unused AWS resources to reduce cloud spending.
- Cloud Incident Responder — Automates cloud security incident response by performing identity containment, resource isolation, and forensic evidence acquisition for AWS, Azure, and GCP environments.
- CI/CD Pipeline Generator — This skill generates and optimizes CI/CD pipelines for GitLab CI and CircleCI, helping developers automate testing, building, and deployment processes.
- Container App Deployments — Deploys containerized applications to Azure Container Apps with remote builds and idempotent infrastructure, aiding developers and DevOps.
- Cloud Incident Containment — This skill enables security responders to rapidly isolate compromised cloud resources and revoke credentials across AWS, Azure, and GCP environments.
- Cloud Security Assessor — Assess cloud infrastructure for security misconfigurations, IAM privilege escalation, and public exposure across AWS, Azure, and GCP environments.
- Dagger Pipeline Creator — Automates CI/CD pipeline creation using Dagger, enabling portable, cacheable, container-based pipelines for developers and DevOps engineers.
- AWS Architecture Designer — Designs scalable and cost-effective AWS architectures using serverless patterns and IaC, assisting startups with cloud infrastructure needs.
- Cloud Attack Emulator — This tool enables security teams to validate cloud detection capabilities by safely detonating granular adversary techniques across AWS, Azure, GCP, and Kubernetes environments.
- GKE Cluster Provisioning — Provisions and operates production-ready Google Kubernetes Engine (GKE) clusters, especially using Autopilot, benefiting DevOps and cloud engineers.
- AWS Serverless Builder — This skill assists developers in constructing and deploying robust serverless applications on AWS, adhering to established best practices.
- Terraform Infrastructure Manager — This skill manages cloud infrastructure using Terraform or OpenTofu, assisting DevOps engineers with provisioning, configuration, and deployment tasks.
- Cloud Run Deployments — Deploys serverless containers on Google Cloud Run, enabling developers to easily manage and scale their applications.
- GitLab DevSecOps Pipeline — This skill helps DevOps engineers implement automated security scanning within GitLab CI/CD pipelines to identify vulnerabilities early in the development lifecycle.
- Cloud Credential Monitor — This tool identifies compromised cloud credentials for security teams by analyzing anomalous API activity and threat indicators across AWS, Azure, and GCP environments.
- Bitbucket Cloud Manager — Automate Bitbucket repository management, CI/CD pipelines, and code review workflows, streamlining development for software teams using Atlassian's cloud platform.
- Checkly Monitoring Assistant — Provides expert guidance for Checkly, helping developers implement monitoring-as-code, set up checks, configure alerts, and integrate with CI/CD pipelines.
- SLO Reliability Architect — This tool assists SREs and developers in designing, calculating, and auditing meaningful service level objectives, error budgets, and burn-rate alerts for production systems.
- SLO Reliability Architect — This tool assists SREs and developers in designing, calculating, and reviewing meaningful service level objectives, error budgets, and burn-rate alerting strategies.
- Terraform IaC Assistant — This skill helps engineers design secure, well-structured Terraform infrastructure code by providing module design, security auditing, and CI/CD integration.
- Falco Runtime Security — This tool helps security engineers detect container threats and anomalous syscalls in Kubernetes environments by deploying and managing custom Falco eBPF rules.
- Serverless Cloud Orchestrator — This tool enables developers to deploy and scale Python applications, AI models, and GPU-accelerated workloads on a serverless cloud infrastructure.
- ACS Java Common — Provides authentication and identifier utilities for Java developers using Azure Communication Services (ACS).
- Azure Authentication Helper — This skill simplifies secure authentication of Java applications with Azure services using Microsoft Entra ID for developers.
- AI Eval CI — Automate AI agent and LLM evaluations in CI/CD pipelines, ensuring quality and preventing regressions before deployment, benefiting developers and AI engineers.
- Datadog Management Skill — This skill configures and manages Datadog for infrastructure monitoring, APM, log management, and alerting, assisting DevOps engineers.
- Kubernetes Helm Manager — Automates Kubernetes and Helm chart management, enabling developers and operators to deploy, configure, and manage applications on Kubernetes clusters efficiently.
- Agentic Action Auditor — This skill audits GitHub Actions workflows for security vulnerabilities in AI agent integrations, helping developers secure their CI/CD pipelines.
- Molecular Modeling Assistant — This tool provides a cloud-native Python interface for medicinal chemists to automate complex molecular simulations, drug discovery workflows, and protein-ligand modeling tasks.
- ACR Management Tool — Enables developers and DevOps engineers to manage container images and repositories within Azure Container Registry using the Python SDK.
- Serverless Security Auditor — This tool identifies vulnerabilities in serverless function configurations to help cloud security engineers secure AWS, Azure, and GCP deployments against potential threats.
- Trivy CI/CD Integration — This skill helps DevSecOps engineers automate container vulnerability scanning and enforce quality gates within CI/CD pipelines to ensure secure software deployments.
- GCP Reliability Optimizer — Applies Google Cloud's Well-Architected Framework reliability pillar, helping DevOps engineers build resilient and user-centric production workloads.
- Arize AI Manager — Manages Arize AI Observability and Evaluation resources on Azure using the .NET SDK, assisting developers and data scientists.
- Observability Stack Setup — Sets up end-to-end observability for microservices, helping developers and DevOps engineers monitor and debug production applications.
- Secrets Vault Management — This skill helps DevOps and security engineers manage secret infrastructure, including Vault, cloud secret stores, and secret rotation.