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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 JiglauGPL-3.0404updated 1 day ago

Source

git clone https://github.com/secondsky/sap-skills

Clone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is plugins/sap-hana-ml/ inside the repository.

Layout

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

Skills1

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

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

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": "hello@sap-ai-skills.com",
    "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": "hello@sap-ai-skills.com",
    "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"
  ]
}