nixtla-search-to-slack
v1.0.0Automated content discovery for Nixtla / time-series practitioners. Searches the web + GitHub for forecasting content, generates AI summaries, and publishes formatted digests to Slack on a schedule.
By Jeremy LongshoreLicense: MIT11 GitHub starsUpdated 3 weeks ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 3 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-search-to-slack for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install nixtla-search-to-slack@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/jeremylongshore/plugins-nixtlaClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is 005-plugins/nixtla-search-to-slack/.
Plugin files
├── .claude-plugin/plugin.json├── skills/nixtla-model-benchmarker/SKILL.md├── skills/nixtla-research-assistant/SKILL.md└── skills/timegpt-pipeline-builder/SKILL.md
Included Skills3
Generate benchmarking pipelines to compare forecasting models and summarize accuracy/speed trade-offs. Use when evaluating TimeGPT vs StatsForecast/MLForecast/NeuralForecast on a dataset. Trigger with "benchmark models", "compare TimeGPT vs StatsForecast", or "model selection".
Research and summarize Nixtla ecosystem updates and time-series forecasting content from the web and GitHub. Use when gathering release notes, recent changes, or best-practice references. Trigger with "Nixtla updates", "what's new with TimeGPT", or "find time-series papers".
Generate production-ready TimeGPT forecasting pipeline code from requirements. Use when scaffolding a pipeline with validation, logging, visualization, and repeatable runs. Trigger with "create TimeGPT pipeline", "build TimeGPT integration", or "generate forecast code".
Plugin manifests1
{
"name": "nixtla-search-to-slack",
"version": "1.0.0",
"description": "Automated content discovery for Nixtla / time-series practitioners. Searches the web + GitHub for forecasting content, generates AI summaries, and publishes formatted digests to Slack on a schedule.",
"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",
"statsforecast",
"mlforecast",
"neuralforecast",
"time-series",
"forecasting",
"slack",
"automation",
"content-curation",
"ai-summary"
],
"skills": "./skills"
}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-search-to-slack on Agent Plugins Marketplace](https://pluginsmp.com/plugins/nixtla-search-to-slack)