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Found 1,306 Skills
Use when deploying Deno apps to production, asking about Deno Deploy, or working with `deno deploy` CLI commands. Covers deployment workflows, environment variables, KV database access, custom domains, the --tunnel flag for local development, and the `deno deploy` command reference.
CI/CD pipelines, infrastructure as code, and deployment strategies
Deploy static sites to Cloudflare Pages with custom domains and CI/CD. Use when the user wants to deploy a site to Cloudflare Pages, add a custom domain to a Pages project, set up GitHub Actions CI/CD for Cloudflare Pages, roll back a deployment, or verify deployment status. Triggers on "deploy to Cloudflare", "Cloudflare Pages", "add custom domain", "pages deploy", or any Cloudflare Pages hosting workflow.
Lint Makefile contract for common+env override deployment workflow. Use when validating deployment variables, include rules, remote port handling, and required targets.
Foundry development workflow for Solidity smart contracts. Use when building, testing, or deploying with Foundry (forge, cast, anvil). Covers project setup, foundry.toml configuration, testing patterns, fuzz testing, invariant testing, fork testing, cheatcodes, deployment scripts, and debugging. Triggers on tasks involving forge build, forge test, forge script, cast, anvil, or Foundry-based Solidity development.
Comprehensive validation for Project Conductor using deep research for best practices. Use when user mentions "validate", "check quality", "review code", "test coverage", or before deployment.
Gpu Resource Optimizer - Auto-activating skill for ML Deployment. Triggers on: gpu resource optimizer, gpu resource optimizer Part of the ML Deployment skill category.
Deploy Databricks jobs and pipelines with Asset Bundles. Use when deploying jobs to different environments, managing deployments, or setting up deployment automation. Trigger with phrases like "databricks deploy", "asset bundles", "databricks deployment", "deploy to production", "bundle deploy".
Automate deployment to Vercel platform. Manages deployment configuration, environment setup, and CI/CD integration.
Low-token index of deep Taubyte references by topic (commands, Dream, SDK, build/logs, deployment) for selective loading.
Automates declarative resource creation and provisioning for data pipelines, supporting BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and other resources. It manages environment-specific configurations (dev, staging, prod) through a deployment.yaml file. Use when: - Modifying or creating deployment.yaml for deployment settings. - Resolving environment-specific variables (e.g., Project IDs, Regions) for deployment. - Provisioning supported infrastructure like BigQuery datasets/tables, Dataform resources, or DTS resources via deployment.yaml. Do not use when: - Resources already exist. - Managing resources not supported by `gcloud beta orchestration-pipelines resource-types list`. - Managing general cloud infrastructure (VMs, networks, Kubernetes, IAM policies), which are better suited for Terraform. - Infrastructure spans multiple cloud providers (AWS, Azure, etc.). - Already uses Terraform for the target resources.
Manages Medusa Cloud resources through the Cloud CLI (mcloud). Use when deploying, debugging deployments, managing environments, environment variables, or any Medusa Cloud operation. CRITICAL for mcloud commands, deployment failures, build logs, Cloud setup, and CI/CD workflows.