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nixtla-forecast-explainer

v1.0.0

Post-hoc explainability for TimeGPT forecasts. STL decomposition (statsmodels), Pearson correlation driver analysis with lag scanning (scipy), executive narrative generation, and markdown report composition.

Claude Code1 Skill1 MCP serverstdio

By Jeremy LongshoreLicense: MIT11 GitHub starsUpdated 3 weeks ago

Directory evidence

Runtimes
Claude Code
Parsed components
2 skill or MCP entries
Source updated
Sep 25, 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 nixtla-forecast-explainer for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install nixtla-forecast-explainer@agent-plugin-marketplace

Paste 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/jeremylongshore/plugins-nixtla

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is 005-plugins/nixtla-forecast-explainer/.

Plugin files

005-plugins/nixtla-forecast-explainer/
├── .claude-plugin/plugin.json
├── skills/nixtla-explain-analyst/SKILL.md
└── .mcp.json

Included Skills1

nixtla-explain-analystskills/nixtla-explain-analyst/SKILL.md

Analyze and explain TimeGPT forecast results in plain English. Generates executive summaries with driver analysis. Use when stakeholders need forecast explanations, board presentations, or compliance documentation. Trigger with "explain forecast", "why is the forecast", "forecast narrative".

MCP servers1

nixtla-forecast-explainerstdio
command
python
args
scripts/explainer_mcp.py

Plugin manifests1

005-plugins/nixtla-forecast-explainer/.claude-plugin/plugin.json
{
  "name": "nixtla-forecast-explainer",
  "version": "1.0.0",
  "description": "Post-hoc explainability for TimeGPT forecasts. STL decomposition (statsmodels), Pearson correlation driver analysis with lag scanning (scipy), executive narrative generation, and markdown report composition.",
  "author": {
    "name": "Jeremy Longshore",
    "email": "[email protected]",
    "url": "https://github.com/jeremylongshore"
  },
  "homepage": "https://github.com/jeremylongshore/plugins-nixtla",
  "repository": "https://github.com/jeremylongshore/plugins-nixtla",
  "license": "MIT",
  "keywords": [
    "nixtla",
    "timegpt",
    "explainability",
    "stl",
    "decomposition",
    "drivers",
    "forecasting"
  ],
  "commands": "./commands"
}

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.

[nixtla-forecast-explainer on Agent Plugins Marketplace](https://pluginsmp.com/plugins/nixtla-forecast-explainer)