DevOps & Cloud
4,382 results
- Oss Project Scaffoldnaman10parikhScaffold a new OSS CLI project with package.json, tsconfig, README template, Vitest, CI, and LICENSE. The standardized starting point for all Energy OSS tools.
- Twill Cloud Coding AgenttwillaiUse Twill Cloud Coding Agent to manage Twill's public v1 API workflows. Create/list/update tasks, stream and cancel jobs, manage scheduled tasks, list repositories, and export Claude teleport sessions.
- Workflow Parallel AgentskenjiRun multiple agents in parallel via git worktrees, cloud agents, or multi-model comparison. Use for "run agents in parallel", "best-of-N", "compare approaches", "multi-model", "parallel worktrees".
- Workflow Release PrepkenjiTake the local working tree to a merge-ready PR against main: review, split if needed, commit, push, open the PR, drive CI green; never merge. Use when "prepare this for a PR" or "get my working tree merge-ready". Existing PR → workflow-pr.
- Workflow Ship And ObservekenjiTake merged, green code to a verified, monitored production release. Use when "ship it", "deploy to production", "go live", or "cut a release" for a running app (npm packages → deploy-npm).
- Building Emdash Siteemdash-cmsBuild the site-facing parts of an EmDash CMS project on Astro, including schema and seeds, content queries, Portable Text rendering, menus, taxonomies, widgets, and deployment configuration. Use for EmDash site and theme work; use creating-plugins instead when the task is plugin authoring alone.
- Capital AllocationDaloopa IncDeep dive into capital deployment, buybacks, dividends, and shareholder yield
- Command Bar ButtonshydrAdd, change or remove a button on a Dataverse / Dynamics 365 table command bar — classic RibbonDiffXml (ribbon_get, ribbon_add_button, ribbon_remove_button) or modern commands in the appaction table (command_*).
- Devcontainer WorkflowiludeDevContainer configuration for consistent development environments with Docker, multi-stage builds, non-root users, environment management, Docker-in-Docker support, and Python with uv. Activate when working with .devcontainer/, devcontainer.json, Dockerfile, or container-based development workflows.
- Gitea TeaclempatWork with Gitea using tea CLI for auth, repo, issue, pull request, and release workflows. Use when user references Gitea, self-hosted git forges, or asks for tea commands.
- Headless Cli AgentstimurkhakhalevThis skill provides comprehensive guidance for running AI coding agents in non-interactive (headless) mode for automation, CI/CD pipelines, and scripting. Use when integrating Claude Code, Codex, Gemini, OpenCode, Qwen, or Droid CLI into automated workflows where human interaction is not desired.
- Liveblocks Best PracticesliveblocksUse this skill when building, debugging, or answering questions about Liveblocks. Liveblocks gives you the building blocks and infrastructure to enable people and AI to work together inside your app, powering realtime collaboration.
- Solution PipelineshydrDeploy Dataverse solutions across environments via Power Platform Pipelines (deploymentpipeline / deploymentstagerun). Includes pipeline-host discovery, the 3-call Maker-UI workflow, stage-run status code mapping, permission pitfalls, and trade-offs between Pipeline deployment and direct solution export/import.
- Box Legal Workflows ContractBoxAutomate contract review and monitoring with Box MCP — find new or expiring contracts, compare them against firm templates to flag material variances, write structured contract metadata back to Box for searchability, and produce variance reports with citations.
- Devops PatternswebdevtodayjasonDevOps patterns including CI/CD pipeline design, GitHub Actions, Infrastructure as Code, Docker, Kubernetes, deployment strategies, monitoring, and disaster recovery. Use when setting up CI/CD, deploying applications, managing infrastructure, or creating pipelines.
- Domino AppsDomino Data LabDeploy web applications to Domino Data Lab with expertise in React apps (Vite) behind Domino's reverse proxy. Covers app.sh configuration, port configuration, base path handling for SPAs, CI/CD with GitHub Actions, and proxy troubleshooting. Use when deploying apps to Domino, setting up CI/CD pipelines, fixing broken routing, or configuring JavaScript frameworks for Domino's proxy.
- Domino Data ConnectivityDomino Data LabConnect Domino workloads to external data sources including AWS S3 (via Mountpoint CSI driver), credential propagation with AWS IRSA and Azure Entra ID, and External Data Volumes. Use when configuring S3 access, setting up credential propagation, or connecting to cloud data sources from Domino.
- Domino EnvironmentsDomino Data LabCreate and customize Domino Compute Environments - Docker containers defining tools, packages, and configurations. Covers Dockerfile customization, package installation, IDE configuration, DSE (Domino Standard Environments), and troubleshooting build failures. Use when installing dependencies, customizing environments, or fixing environment issues.
- Domino ExtensionsDomino Data LabBuild and operate Domino UI Extensions (mount Domino Apps in the shell with page context). Covers extension_manifest.json, official installer vs manual Extension API, publish and identity requirements, auth and host splits, and beta REST routes. Use when creating an Extension, wiring mount points, publishing an Extension App from a project, or automating Extension install lifecycle.
- Domino FlowsDomino Data LabOrchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelines, multi-stage training workflows, or processes requiring orchestration and monitoring.
- Domino JobsDomino Data LabCreate, run, and manage Domino Jobs - batch executions for scripts, training, and data processing. Covers job configuration, hardware tiers, scheduled jobs (cron), monitoring status, viewing logs, and API-driven execution. Use when running batch workloads, scheduling recurring tasks, or automating training pipelines.
- Domino Model EndpointsDomino Data LabDeploy and monitor model API endpoints in Domino. Covers creating prediction endpoints, version management, Grafana dashboards for latency/errors/resources, alerting, and GPU inference with NVIDIA Triton. Use when deploying models as APIs, monitoring production endpoints, or debugging endpoint issues.
- Domino Model MonitoringDomino Data LabMonitor deployed models in Domino including drift detection, model quality tracking, and alerting. Covers data drift analysis, prediction capture, baseline comparison, alert configuration, and remediation workflows. Use when monitoring production models, detecting drift, or setting up model health alerts.
- Domino Model ServingDomino Data LabDeploy, invoke, and retire Domino model APIs and registered models via REST. Covers modelServing lifecycle, registered-models v1 vs v2 paths, MLflow tracking vs registry API, inference URLs vs management API, and GenAI endpoint vanity URLs. Use when automating model deployment, predictions, registry updates, or debugging stop/archive/delete behavior.