claude

kdbx-knowledge

KDB-X workflows and patterns for the next-generation KX time-series database

22 on GitHubby KXv0.3.0Apache-2.0updated 28 days agodevelopment
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Plugin kdbx-knowledge from marketplace kx-skills in KxSystems/kx-skills. Commands read from the repo's manifest — 28 days ago.

What it installs

Skills (4)

  • kdbx-db-service

    Use this skill whenever working with the KDB-X DB Service - a containerised time-series database distributed via Docker Compose. Trigger for any task involving: setting up or resetting the DB Service, ingesting data (CSV, streaming, REST, or third-party sources like OneTick), writing or optimising q

  • kdbx

    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 i

  • kxmeta-author

    Writing qdoc annotations for `aimeta` so the compiler publishes tables and functions correctly. Mandatory `@kind`/`@name` markers, the chained `@col` modifier form, q-language traps that silently drop items, and the recompile loop. Use when adding or editing `/ @kind ...` annotation blocks in a q co

  • kxmeta-discover

    Discovering metadata on a running kdb+ process via `aimeta` — cold-start probing, the `/meta` HTTP route, `kx-meta discover`, qIPC fallback, and reading the `tier` / `references[]` fields in the response. Use when an agent needs to learn what tables and functions a kdb+ host exposes, when interpreti

MCP servers (1)

  • kx-docs-mcp

    connects to: https://kx2.mcp.kapa.ai

View source on GitHub

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