sap-hana-ml

v2.4.1

SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage

CodexClaude Code1 Skill

By Eduard JiglauLicense: GPL-3.0452 GitHub starsUpdated 2 days ago

Directory evidence

Runtimes: Codex and Claude Code
Parsed components: 1 skill or MCP entry
Source updated: Sep 21, 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 sap-hana-ml for Codex and Claude Code

Installs for the current user

codex plugin marketplace add secondsky/sap-skills
codex plugin marketplace upgrade sap-skills
codex plugin add sap-hana-ml@sap-skills

Paste and run these commands in a terminal with Codex. They add and refresh the sap-skills catalog, then install this plugin.

Compatibility: the page URL and API slug “sap-hana-ml” remain stable.

Codex: sap-hana-ml@agent-plugin-marketplace → sap-hana-ml@sap-skills

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/secondsky/sap-skills

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/sap-hana-ml/.

Plugin files

plugins/sap-hana-ml/

├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
└── skills/sap-hana-ml/SKILL.md

Included Skills1

sap-hana-mlskills/sap-hana-ml/SKILL.md

Plugin manifests2

plugins/sap-hana-ml/.codex-plugin/plugin.json

{
  "name": "sap-hana-ml",
  "version": "2.4.1",
  "description": "SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage",
  "author": {
    "name": "Eduard Jiglau",
    "email": "[email protected]",
    "url": "https://sap-ai-skills.com"
  },
  "homepage": "https://sap-ai-skills.com",
  "repository": "https://github.com/secondsky/sap-skills",
  "license": "GPL-3.0",
  "keywords": [
    "cloud",
    "database",
    "hana",
    "hdi",
    "python",
    "sap",
    "sap-hana-ml",
    "sql",
    "sqlscript"
  ],
  "skills": "./skills/",
  "interface": {
    "displayName": "SAP HANA Ml",
    "shortDescription": "SAP HANA Machine Learning Python Client (hana-ml) development...",
    "longDescription": "SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage",
    "developerName": "Eduard Jiglau",
    "category": "HANA",
    "capabilities": [
      "Interactive",
      "Read",
      "Write"
    ],
    "defaultPrompt": [
      "Use SAP HANA Ml for SAP guidance."
    ],
    "websiteURL": "https://sap-ai-skills.com"
  }
}

plugins/sap-hana-ml/.claude-plugin/plugin.json

{
  "name": "sap-hana-ml",
  "description": "SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage",
  "version": "2.4.1",
  "author": {
    "name": "Eduard Jiglau",
    "email": "[email protected]",
    "url": "https://sap-ai-skills.com"
  },
  "license": "GPL-3.0",
  "homepage": "https://sap-ai-skills.com",
  "repository": "https://github.com/secondsky/sap-skills",
  "keywords": [
    "cloud",
    "database",
    "hana",
    "hdi",
    "python",
    "sap",
    "sap-hana-ml",
    "sql",
    "sqlscript"
  ],
  "category": "hana",
  "commands": [
    "./commands/hana-ml-experiment-plan.md"
  ]
}