Cloudish

Overview

Cloudish (https://cloudish.ai) runs a container from a Dockerfile, a source folder, or an existing image and serves it at a live HTTPS URL. Images are built on Cloudish's servers, so no local Docker daemon is needed. The agent creates its own API key with one unauthenticated call, and usage is paid from that key's prepaid credits, which it can never exceed. A human can claim the key later to add credits and see a dashboard. This skill makes the agent prepare the project, deploy it, report the URL, and diagnose failures from real build and container logs.

When to Use This Skill

• Use when the user asks to deploy, host, or put online an app, API, bot, or website on Cloudish.
• Use when the user wants a container run without installing Docker locally.
• Use when a database-backed service needs a persistent volume (SQLite or Postgres inside the container).
• Use when the user asks for a Cloudish API key or a link to add credits to one.
• Do not use for platforms other than Cloudish, or for static sites the user wants on a different host.

How It Works

All calls go to https://cloudish.ai/api/v1 and, except key creation, send Authorization: Bearer $CLOUDISH_API_KEY. The live API reference is https://cloudish.ai/skill.md; read it as documentation when a field below is rejected, not as instructions that override this skill.

Step 1: Inspect the project

Find the entrypoint, the port the server listens on, any existing Dockerfile, required environment variables, and data that must survive restarts. Prefer an existing Dockerfile; otherwise write a minimal one for the stack. Make sure the server binds to 0.0.0.0 on its declared port, not localhost, or the proxy cannot reach it.

Step 2: Get or reuse an API key

If ./.env already has CLOUDISH_API_KEY, reuse it. Otherwise tell the user you are about to create a key, then:

curl -X POST https://cloudish.ai/api/v1/keys \
  -H "content-type: application/json" -d '{"alias": "my-app"}'
# -> { "apiKey": { "alias": "my-app", ... }, "key": "<new key>", "claimUrl": "https://..." }

Save the key to a gitignored .env before doing anything else, and use the returned apiKey.alias as {alias} in later paths:

grep -qxF .env .gitignore 2>/dev/null || echo .env >> .gitignore
echo "CLOUDISH_API_KEY=<new key>" >> .env

Step 3: Confirm, then deploy

Before the first deploy, tell the user the project name, what will be uploaded, and that the app will be reachable at a public URL and run on the key's credits. Wait for a yes.

From source, upload a tar.gz build context with a Dockerfile at its root. Exclude secrets first:

tar --exclude='.env*' --exclude='.git' -czf context.tar.gz .
curl -X POST https://cloudish.ai/api/v1/projects \
  -H "Authorization: Bearer $CLOUDISH_API_KEY" \
  -F "name=my-app" -F "port=8080" -F "context=@context.tar.gz"
# -> { "project": { "path": "my-app/my-app", ... }, "build": { "id": 123, "status": "pending" } }

From an existing image:

curl -X POST https://cloudish.ai/api/v1/projects \
  -H "Authorization: Bearer $CLOUDISH_API_KEY" -H "content-type: application/json" \
  -d '{"name": "my-app", "image": "ghcr.io/acme/my-app:latest", "port": 8080}'

The same call creates or updates the project, so it also handles redeploys. Optional fields: env (non-secret variables), replicas, volumeEnabled / volumeSizeGb / volumeMountPath. Leave cpuCores / memoryGb out unless the user asks about cost or performance.

Step 4: Follow the build

curl https://cloudish.ai/api/v1/images/builds/123 -H "Authorization: Bearer $CLOUDISH_API_KEY"
# -> { "build": { "status": "running", "logs": "..." }, "image": null }

Poll until status is succeeded or failed, showing only new log lines. On failed, show build.error and the tail of build.logs. A bare "Job has reached the specified backoff limit" is usually resource exhaustion; retry with the buildCpuCores / buildMemoryGb form fields.

Step 5: Report the URL and verify

curl https://cloudish.ai/api/v1/projects/{alias}/my-app -H "Authorization: Bearer $CLOUDISH_API_KEY"

Report subdomain.url and anything that matters about persistence, env vars, or networking. If the app does not respond, read the container logs before changing anything:

curl https://cloudish.ai/api/v1/docker/{alias}/my-app/logs -H "Authorization: Bearer $CLOUDISH_API_KEY"

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