Integrate
Use with AI agents
mountOS ships a machine-readable skill layer. Point an AI agent at it and it can stand up, operate, and use a deployment end to end.
The skill index routes an agent to the one focused skill that matches the task. The corpus files publish the whole site as text for agents that ingest rather than browse. Any docs page copies straight into an assistant.
Give a Claude agent, or any MCP-capable client, one line. It reads the index and follows the links from there.
Read https://mountos.io/skill.md
/skill.md is the entry point. It carries the mental model an agent must not violate, then routes to the focused skills below.
Focused skills
Each skill is a single Markdown file scoped to one job. An agent reads the index, then loads only the skill the task needs.
| Skill | What it covers |
|---|---|
provision | Bring up a deployment end to end. HUB, account, region, and services. |
volumes | Create and use volumes. Storages, keys, mount, forks, and time travel. |
integrate | Connect over S3, WebHDFS, Kubernetes CSI, the change-event feed, and the Admin SDK. |
operate | Run day 2. Scale clusters and pools, move volumes, rotate keys, and run lifecycle. |
s3 | Tune S3 clients and multipart uploads. AWS CLI, boto3, rclone, DuckDB, Trino, and PyIceberg. |
iceberg | Query an iceberg lake volume from DuckDB, Trino, Spark, or PyIceberg over the REST catalog. |
deploy | Provision the cloud substrate and bring up the HUB on AWS. |
env | Look up each service's environment variables and what they mean. |
Machine-readable corpus
For agents that load a whole corpus instead of following links, the site is published as text. /llms.txt is the topic index, one entry per page. /ai/llms-full.txt is every docs page concatenated into a single file.
Copy any page to an assistant
Every docs page carries a Copy page control in the right rail. It copies the page as Markdown, ready to paste into an assistant. The same menu opens the raw Markdown or hands the page to ChatGPT or Claude in one click.