3.3K skills · sorted by relevance
Publish a Cloudflare Worker to a temporary live URL without creating an account first. The skill covers deployment, checking the response, updating the code, and handing over an ownership link before the 60-minute expiry.
Monitor a live app after deployment for console errors, slower performance, and page failures. Periodic screenshots and comparisons with pre-deployment baselines help identify anomalies and check whether the release is behaving as expected.
Operate an existing Twenty app by syncing changes, managing server connections, building and deploying releases, and inspecting function logs. It also guides troubleshooting and CI/CD, the workflows used to automate testing and deployment.
Prepare and deploy static sites to Azure Static Web Apps with the SWA CLI. Set up local previews, configure routing and authentication, connect Azure Functions APIs, and arrange automated deployment through GitHub Actions.
Deploy CrowdStrike Falcon sensors across Windows, macOS, and Linux endpoints. Configure threat prevention and response policies, verify installation and detection, troubleshoot sensor issues, and connect events to SIEM platforms, which collect security logs for analysis.
Deploy web applications to Vercel for production or preview, then check build results, deployment status, and the live URL. The skill also covers linking projects, managing domains, and adding or downloading environment variables through the command line.
Prepare a graded Claude Managed Agent for recurring schedules, event triggers, or on-demand use. Validate timing, build deployment request data, optionally include self-evaluation for each run, and document the next steps in a roadmap.
Plan and build AI agents on Google Cloud, from gathering requirements to choosing a single-agent or multi-agent design. Produce architecture diagrams, deployment code and instructions, and validation plans tailored to the workload.
Deploy AI models on GKE with suitable GPUs or TPUs and model servers. Generate deployment configuration, adjust automatic scaling, and tune inference—the process of producing model responses—for memory use, throughput, and response time.
Guides an application’s first deployment to GKE, Google’s managed Kubernetes service. Covers application assessment, container creation, image storage, deployment configuration, security settings, health checks, and verification that the application is running.
Deploy and manage applications on Cloud Run using source code or container images. Choose services for web requests, jobs for tasks that finish, or worker pools for continuous background processing, with guidance on execution settings and deployment failures.
Publish a built website or web app and provide a shareable URL through Kortix Apps, Cloudflare, or Vercel. Check the running build, security, external service requirements, and data storage limits before deploying with the user's explicit approval.
Coordinate Stripe pricing changes, Supabase database updates, and Vercel deployments through the Composio CLI, a command-line tool. Follow an ordered release workflow with post-deployment checks, Slack announcements, and guidance for reversing changes if verification fails.
Deploy QM to Fly.io or AWS, set up administrator access, and configure connectors. The workflow covers model provider and sign-in choices, optional Slack activation, automated live checks, and a manual web acceptance check.
Create Kubernetes deployment files and Helm charts, reusable application packages. Configure permissions, network isolation, and persistent storage, then investigate pod failures and resource usage to adjust workloads and verify deployment health.
Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.
Deploy a runnable prototype to the hosting service you choose, such as Sites or Vercel. Use the available deployment tool, return a working shareable URL, and identify any remaining manual steps.
Prepare and deploy Expo apps to iOS and Android stores or the web using EAS, Expo's build and deployment services. Covers production builds, store submissions, beta distribution, preview deployments, and automated release workflows.
Build remote MCP servers, which let AI agents call external tools, on Cloudflare Workers. This skill covers server code, tool definitions, OAuth authentication, local testing, deployment, and connecting a Codex client.
Deploy applications and infrastructure to Cloudflare by choosing services that fit the project. Covers Workers, Pages, storage, and related platform options, with authentication checks and references for configuring and publishing the selected setup.
Launch a new OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw using the local CLI. Configure the agent type, deployment name, model, and Telegram settings according to the supported launch options and requirements.
Manage a shared skill library for Claude Code, Codex, Cursor, and other agents. Search, install, update, and deploy skills to selected agents, organize reusable groups and tags, and check where each skill is available.
Monitor a live application after deployment and compare it with a saved baseline, a record of its earlier state. Check page responses, loading times, and new errors, flag persistent changes, and produce a per-page health report.
Create starter projects for AI agents, add deployment configuration and automated build and release pipelines to existing projects, or update generated project files. Supports Python and Go ADK templates and a prototype-first approach.