KX Plugins for Claude Code

Public marketplace of Claude Code plugins for working with KX products: kdb+/q, PyKX, kdb-X, and KDB.AI.

Each plugin packages one or more Skills — a folder of markdown that Claude loads automatically when it recognises a relevant task. Skills teach Claude repeatable workflows, quality standards, and domain expertise so everyone gets consistent, high-quality results.

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Plugins

Plugin	What it does	When it triggers
q-knowledge	kdb+/q language support — idiomatic q, qsql, IPC, kdb+ workflows; also /qlint-snippet for KX qlint	Writing q code, querying kdb+ tables, lint checks
pykx-knowledge	PyKX — using kdb+/q from Python, type conversions, API guidance	Working with PyKX, Python-kdb+ integration
kdbx-knowledge	kdb-X workflows and aimeta metadata authoring + discovery	KDB-X platform, AI-native vector search, writing/reading aimeta annotations
kdbai-knowledge	KDB.AI vector database — schema, hybrid search, AI integration	Building vector search or RAG with KDB.AI

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Installation

In Claude Code, add the marketplace:

/plugin marketplace add KxSystems/kx-skills

Install plugins

/plugin install q-knowledge@kx-skills
/plugin install pykx-knowledge@kx-skills
/plugin install kdbx-knowledge@kx-skills
/plugin install kdbai-knowledge@kx-skills

Or browse interactively with /plugin and pick from the Discover tab.

Update later

/plugin marketplace update kx-skills

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Repo structure

kx-skills/
├── README.md                        ← you are here
├── LICENSE                          ← Apache-2.0
├── .claude-plugin/
│   └── marketplace.json             ← marketplace catalog
└── plugins/
    ├── q-knowledge/
    │   ├── .claude-plugin/plugin.json
    │   ├── README.md
    │   └── skills/
    │       ├── q/                   ← q language & kdb+ skill
    │       │   ├── SKILL.md
    │       │   ├── reference.md
    │       │   └── references/
    │       └── qlint-snippet/       ← KX qlint wrapper (executable skill)
    │           ├── SKILL.md
    │           └── scripts/run.sh
    ├── pykx-knowledge/
    │   ├── .claude-plugin/plugin.json
    │   └── skills/pykx/             ← PyKX Python-kdb+ interface
    │       ├── SKILL.md
    │       └── reference.md
    ├── kdbx-knowledge/
    │   ├── .claude-plugin/plugin.json
    │   ├── reference/               ← shared by kxmeta-* skills
    │   │   ├── agent-guide.md
    │   │   ├── meta.schema.json
    │   │   └── openapi.json
    │   └── skills/
    │       ├── kdbx/                ← KDB-X platform
    │       │   ├── SKILL.md
    │       │   ├── ai-reference.md
    │       │   └── gpu-reference.md
    │       ├── kxmeta-author/       ← writing aimeta annotations
    │       │   └── SKILL.md
    │       └── kxmeta-discover/     ← probing aimeta at runtime
    │           └── SKILL.md
    └── kdbai-knowledge/
        ├── .claude-plugin/plugin.json
        └── skills/kdbai/            ← KDB.AI vector database
            ├── SKILL.md
            └── reference.md

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Contributing

We want this to grow. If you've found a better way to do something, improved a checklist, or want to add a new skill entirely — please open an issue or pull request against KxSystems/kx-skills.

Skills are plain markdown — no code required to improve them.

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Principles

1. Skills are living documents. If a checklist item is wrong or missing, fix it.
2. Evidence over assertions. Skills must require proof of work, not just promises.
3. No gold-plating. Add complexity only when it prevents real problems.

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License

Apache License 2.0 — see LICENSE.