Use Sealos

Use Sealos

Sealos resource model

Sealos Cloud is a multi-tenant Kubernetes platform. Everything a user owns lives in one namespace (ns-xxx) per workspace, accessed with a restricted kubeconfig (~/.sealos/kubeconfig). Within the namespace:

• Apps are ordinary Deployments/StatefulSets + Service + Ingress, labeled cloud.sealos.io/app-deploy-manager: <app> so the Sealos "App Launchpad" UI can manage them. Public HTTPS comes free via <host>.<region-domain> and a wildcard cert.
• Databases are KubeBlocks Cluster CRs managed by the "Database" UI.
• Template store hosts 200+ one-click templates (sealos-api.py store-list); deployed templates are tracked as instances and appear in the UI.
• Object storage buckets are ObjectStorageBucket CRs with S3-compatible credentials in managed secrets.
• A region is one cluster + domain (e.g. usw-1.sealos.io for international, bja.sealos.run etc. for China). The Template API lives at https://template.<region-domain>.

Tools

Resolve scripts/ and references/ against this skill's directory, not the project working directory.

• scripts/sealos-api.py — auth (status, login, workspaces, switch) and the Template API (deploy, store-list). Deploying through the Template API (not raw kubectl apply) is what makes resources show up as a deletable unit in the Sealos UI.
• kubectl with export KUBECONFIG=~/.sealos/kubeconfig — all reads, debugging, and deletions. The kubeconfig is namespace-scoped; you cannot see or touch other tenants.
• scripts/wait-app.sh — post-deploy verification (workload readiness + URL probe + failure diagnostics).
• docker buildx — only for the source-build path.

Preflight

If SEALAI_DEPLOY_MODE is managed (a Brain-managed sandbox), stop here and follow ../sealos-deploy/SKILL.md instead — that mode forbids login and interactive prompts. Everything below is the local interactive path.

python3 scripts/sealos-api.py status

• authenticated: true → proceed; note namespace and region_domain.
• Not authenticated → run python3 scripts/sealos-api.py login in the background, watch its stderr, and relay the sign-in URL to the user the moment it prints (the code expires; never sit silently until the command ends). Users can alternatively paste a kubeconfig from the Sealos web console (top-left avatar → kubeconfig) into ~/.sealos/kubeconfig.
• Wrong region? login --region <url>. Wrong workspace? workspaces + switch <name>.

Deploys, database creation, and storage consume the account's quota/balance — if a deploy is rejected with a quota error, report it; do not silently retry with smaller numbers.

Deploy decision tree (the 15-minute path)

When the user wants something deployed, classify it FIRST — the wrong path wastes the whole time budget:

1. Known self-hosted product (Uptime Kuma, Metabase, n8n, ...): python3 scripts/sealos-api.py store-list --search <name>.
   • Store hit → deploy the store template (deploy.md, Path A). Fastest and battle-tested; done in ~3 min.
   • No store hit → check recipes.md for a ready-made recipe, else use the official Docker image and write a template (deploy.md, Path B). Never build a product from source when an official image exists.
2. User's own project (has source code): look for an existing Dockerfile/compose file, else generate one, build for linux/amd64, push, then deploy the image (build.md then deploy.md Path B).
3. Just a database / bucket: databases.md / platform.md's object storage section — deploy as a minimal template.

After ANY deploy, verify before reporting:

bash scripts/wait-app.sh -u https://<host>.<region-domain> deployment/<name> [cluster/<name>-pg ...]

On *.sealos.io regions, local deploys also claim a Brain Project in-script; if brain_adoption.ok is false, or warnings still lists incompleteResourceSet after verify, run sealos-api.py adopt <instance> — never redeploy. On *.sealos.run this is skipped (brain_adoption.reason: not-sealos-io). See deploy.md.

Quick operations

export KUBECONFIG=~/.sealos/kubeconfig
kubectl get deploy,sts,pods                                   # what's running
kubectl get clusters.apps.kubeblocks.io                       # databases
kubectl get ingress -o custom-columns='NAME:.metadata.name,HOST:.spec.rules[0].host'  # public URLs
kubectl logs deploy/<name> --tail=100                         # app logs
kubectl describe pod <pod>                                    # scheduling/pull issues
kubectl get events --field-selector type=Warning --sort-by=.lastTimestamp | tail -20
kubectl scale deploy/<name> --replicas=2                      # scale
python3 scripts/sealos-api.py store-list --search <query>     # template store

Routing

Load only what the task needs — usually one reference, two at most.

Execution rules

1. Never report a deploy as successful without evidence: wait-app.sh exits 0 AND the public URL returns a real page (2xx/3xx, and for SSR apps the body is not an error page). If verification fails, triage via operate.md — do not re-deploy blindly.
2. Production images are built and pushed as linux/amd64 (docker buildx build --platform linux/amd64). Apple Silicon defaults produce arm64 images that crash-loop on Sealos with exec format error.
3. Resource requests/limits follow the platform ladder (platform.md); requests are derived from limits, and memory always uses Mi values.
4. Deploy through the Template API. Fall back to kubectl apply only for single resources during debugging, and remember kubectl apply rejects Deployment+volumeClaimTemplates (use StatefulSet).
5. Destructive actions (deleting apps, databases, buckets; switching workspace on a shared machine) require explicit user confirmation first.
6. Never print secret values. Read them into shell variables or pipe them; show the user only names and how to fetch values.
7. After mutations, read back state (kubectl get ...) before describing it.
8. One deploy at a time per app name; name collisions in a shared namespace break selectors. Random suffixes (-a1b2c3d4) are there for a reason — keep them.
9. If the agent sandbox blocks writes outside the workspace, escalate file access for writing ~/.sealos/kubeconfig, using the Docker socket, and any command that must read that kubeconfig.

Response format

After each operation report: what was deployed/changed (names + namespace), the public URL if any, verification evidence (ready state, HTTP code), and credentials location (secret names, never values). On failure: the failing resource, the decisive log/event lines, and the next action you are taking.