kdbie-knowledge
v0.1.1KX Insights Enterprise workflows — kxi CLI administration (package build/deploy, install/upgrade, logs) and Stream Processor pipeline authoring
By KX15 GitHub starsUpdated 19 hours ago
Directory evidence
- Runtimes
- Claude Code and Agent Plugins
- Parsed components
- 3 skill or MCP entries
- Source updated
- Sep 2, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install kdbie-knowledge for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install kdbie-knowledge@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/KxSystems/kx-skillsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/kdbie-knowledge/.
Plugin files
├── .claude-plugin/plugin.json├── plugin.json├── skills/kdbie-dev/SKILL.md├── skills/pipeline-dev/SKILL.md└── .mcp.json
Included Skills2
Use this skill when the user is working with KX Insights Enterprise (IE) — managing packages or deployments via the `kxi` CLI, or handling IE installation and upgrades via Helm/Kubernetes.
Write kdb Stream Processor (SP) pipelines in q or Python. Use this skill whenever the user asks to build, create, or write a pipeline, connect readers/writers/operators, set up streaming ingestion, configure Kafka/S3/database connectors, add windowing or ML operators, or asks about .qsp.* / sp.* API usage. Also triggers for questions like "how do I read from Kafka into SP", "write a pipeline that decodes Avro", "tumbling window pipeline", or any task involving .qsp.run / sp.run.
MCP servers1
- url
- https://kx2.mcp.kapa.ai
Plugin manifests2
{
"name": "kdbie-knowledge",
"version": "0.1.1",
"description": "KX Insights Enterprise workflows — kxi CLI administration (package build/deploy, install/upgrade, logs) and Stream Processor pipeline authoring",
"author": {
"name": "KX",
"email": "[email protected]"
},
"homepage": "https://github.com/KxSystems/kx-skills/tree/main/plugins/kdbie-knowledge"
}{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "kdbie-knowledge",
"version": "0.1.1",
"description": "KX Insights Enterprise workflows — kxi CLI administration (package build/deploy, install/upgrade, logs) and Stream Processor pipeline authoring",
"author": {
"name": "KX",
"email": "[email protected]"
},
"homepage": "https://github.com/KxSystems/kx-skills/tree/main/plugins/kdbie-knowledge"
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[kdbie-knowledge on Agent Plugins Marketplace](https://pluginsmp.com/plugins/kdbie-knowledge)