Everything in BTP/BAIP

It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.

It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.

For provisioning a managed database on BTP, see [SAP HANA Cloud](artifact:btp-hana-cloud). Features differ between HANA versions; an on-premise deployment and a cloud instance are not interchangeable without compatibility checks.

There is nothing to clone here: "Access is provided through a registration page. Once registered, you will receive access to the GitHub repository containing the agents, deployment guides, and documentation", and that repository answers 404 to anyone who has not registered, so neither the agent code nor the deployment guides can be read before the form is filled in. AWS states the agents are published as an unsupported solution, with customers responsible for testing and securing the code before deploying in production, and that they are intended for non-production SAP environments rather than production systems. The documentation link in the README is still a placeholder.

The README tells you to fork before cloning, because Claude rewrites `references/` and `SKILL.md` in place as you use it, so a clone shared between people changes under all of them. Installing means `git` and `ln` on macOS or Linux and a symlink into `~/.claude/skills`. Fine positioning stays manual: the coordinates Claude writes can be rough apart from the centre coordinates of elements joined by a straight arrow and the containment relationships.

It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.

Host-specific: outside Kiro the automatic context activation is the part that does not come with it, and what remains is prose you would have to wire in yourself. Breadth over depth by design — thirty-five skills across six product areas is an orientation layer, not a substitute for the focused sets in each.

A diagram of anything other than an SAP, BTP or on-premise landscape: the skill is tuned to the Horizon style and its 71 templates. It drafts rather than finishes, and its README budgets 15 to 30 minutes of edits in draw.io per diagram. Without Python the validator does not run.

It stops before the artifact: in the README's own words it does not generate or deploy complete iFlow artifacts, so building and shipping the integration flows themselves stays with a person and a tenant. Knowledge beside the work rather than a generator, and it reads nothing from a running tenant.

Skills that generate commands are not the commands: everything here still runs against a real BTP account with real entitlements, and the deployment path assumed is Cloud Foundry, with `cf login` and `joule login` done before the toolkit is used. Three of the four skills are CLI knowledge rather than anything Joule-specific, which is worth knowing if you only wanted the agent part.

It works against a tenant, through the REST API, with credentials in the environment — so these skills act rather than advise, and the review skill is a check on generated content rather than a substitute for one. Nothing here is useful without an Automation Pilot tenant to point at.

Enterprise-architecture work, not development: this describes what your landscape records, never what your code does. And the skills assume the server — without [the LeanIX MCP server](artifact:sap-leanix-mcp-server) reachable against your instance, they are instructions with nothing to call.

GPL-3.0, which is a licence to read before vendoring any of it into something you ship. Forty plugins is also a lot of always-available surface — the ledger is there because breadth and verification pull in opposite directions, and it does not resolve that so much as report it.

It says so itself, in bold, and the atlas repeats it: not legal advice and not a compliance decision. Only SAP, your contract, or SAP support can answer bindingly, and the skill routes legal, commercial and roadmap questions there rather than guessing at them. Treat the output as evidence gathered, not as a verdict.

Quiet No published releases; repository quiet for 54 months.

No license Neither the package manifest nor the repository tree declares a licence.

There is nothing to clone here: "Access is provided through a registration page. Once registered, you will receive access to the GitHub repository containing the agents, deployment guides, and documentation", and that repository answers 404 to anyone who has not registered, so neither the agent code nor the deployment guides can be read before the form is filled in. AWS states the agents are published as an unsupported solution, with customers responsible for testing and securing the code before deploying in production, and that they are intended for non-production SAP environments rather than production systems. The documentation link in the README is still a placeholder.

The README tells you to fork before cloning, because Claude rewrites `references/` and `SKILL.md` in place as you use it, so a clone shared between people changes under all of them. Installing means `git` and `ln` on macOS or Linux and a symlink into `~/.claude/skills`. Fine positioning stays manual: the coordinates Claude writes can be rough apart from the centre coordinates of elements joined by a straight arrow and the containment relationships.

A diagram of anything other than an SAP, BTP or on-premise landscape: the skill is tuned to the Horizon style and its 71 templates. It drafts rather than finishes, and its README budgets 15 to 30 minutes of edits in draw.io per diagram. Without Python the validator does not run.