Gives your agent Spectrum design tokens, component schemas and guidelines to look up as it works.
Data AI
adobe · Agent
Data AI is a set of architecture skills and rules for coding agents that build applications with the @adobe/data library. It teaches a layered, spec-first feature structure, from data through services to UI, checked by conformance tests. Skills scaffold whole applications or single features, and path-scoped rules hold the conventions they follow. It installs into your project and is meant for developers who use that library.
Written by ooruby from the README of @adobe/data-ai 0.10.26.
Not claimed by its maker.
Why it's useful
Your agent builds features to a fixed layered structure and written conventions, and each result is tested against its data spec.
What you could do with it
- Ask your agent to build a whole application from a base feature that hosts lazily-loaded peer features.
- Have your agent build one feature end to end, then conformance-test it against its pure data spec.
- Run a single phase, such as data, indexes, transactions or computed values, with its finer-grained skill.
Written from its documentation: what it says it can do, not what our checks found.
Maintenance
Not measuredNo release date is on record for this package yet. The nightly publisher check records one as it reaches each npm package, about once every ten nights.
Release activity only: it says nothing about quality or safety, and a finished small package can be fine without releases. How it is measured
What this does not cover
- Everything. Treat it as you would software from anywhere else.
Receipt history: every signed receipt for every version of this listing, and what changed between them.
In its maker's words
Cross-agent architecture skills for @adobe/data — installable as a Claude Code plugin or copied into any Agent-Skills-compatible agent (Cursor, Codex).
Compare with
Compare all 4How far this has been checked
Static scanned
- What it establishes
- Its published package, or for a hosted server its source repository at a recorded commit, was read file by file, without running it, by every check in our current scan.
- What it does not
- How it behaves when it runs, or anything the scan does not read yet: several rubric checks, the repository's history, and compiled code in folders named dist or build. For a hosted server, that the endpoint runs the code that was read. The ooruby Index sets out exactly what was read.
- Exactly what was read
- Version 0.10.26, the file with digest sha512-qFvae6/UXlWg7SAaZRyY/qA8icMV1KcWG8yF5MRhDBGvTZZHnoRkN9lT9AImWZrNrzShWn5hKwQ9zYADvSVE3Q==, as the registry publishes it. A published version cannot be replaced, so this names the same bytes for anyone who checks.
- Authentication
- Runs locally. No hosted endpoint is listed for this package. You run it on your own machine, so there is no endpoint of ours to authenticate against.
Adding it
Run it with:
npx -y @adobe/data-ai@0.10.26Pinned to 0.10.26, which is the version the findings above were found in. Drop the version to take whatever is newest, and the report on this page stops describing what you installed.
Where this came from
- Registry
- npm
- Package
- @adobe/data-ai
- Version read
- 0.10.26
- Resolved
- 2026-10-10
No build provenance published. The repository above is the one the publisher declared, and nothing links it to the package you would install. That is not a mark against this listing, since most packages are published this way, but it is a check nobody can run.
The badge, if this is your listing
It renders the current rung (static scanned) and links back here, where what that does and does not establish is one click away. It updates itself as the evidence deepens.
[](https://ooruby.com/market/adobe-data-ai)About this listing
- Kind
- Agent
- Category
- Developer tools
- Pricing
- Free
- Sandbox
- No
- Hosted
- No
- Updated
- 2026-10-10
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All agentsVerification records what our published tests found on a specific version at a specific date. It is not a warranty, and it does not certify that software is free of defects.