Use when working with KDB-X modules, AI libraries (vector search, HNSW, IVF, BM25, time-series similarity, anomaly detection), GPU acceleration, Parquet, kURL REST client, object storage, or the module framework. Also use when encountering module-not-found errors, vector dimension mismatches, HNSW index issues, GPU setup issues, or nyi errors from using \l instead of use.
How to install kdbx?
kxsystems/kx-skills/kdbx
$npx -y skills add kxsystems/kx-skills --skill kdbxInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/kxsystems/kx-skills" --skill "kxsystems/kx-skills/kdbx"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/kxsystems/kx-skills" that are relevant to the current task. Run `npx skills add "https://github.com/kxsystems/kx-skills"` and select the relevant skills, then follow their instructions.
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