Intent Solutions Io Plugins Nixtla
intent-solutions-io-plugins-nixtla is a Claude Code plugin for the Build phase that integrates Nixtla time-series forecasting libraries via agent skills.
by intent-solutions-io · github.com/intent-solutions-io/plugins-nixtla
Add Nixtla forecasting agent skills so Claude Code can run StatsForecast, MLForecast, and NeuralForecast workflows on your time-series datasets from the editor.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install intent-solutions-io-plugins-nixtla@intent-solutions-io/plugins-nixtlaBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:intent-solutions-io/plugins-nixtla") and the paste-ready config with skillselion.get_install_config("plugin:intent-solutions-io/plugins-nixtla").
What it does
intent-solutions-io-plugins-nixtla is a Claude Code plugin marketplace listing that connects forecasting-heavy builders to Nixtla’s ecosystem through agent skills rather than manual notebook copy-paste. Solo developers shipping SaaS or API products with metrics, usage, or revenue time series can use it while integrating prediction endpoints, batch forecast jobs, or internal analytics during Build. The description emphasizes StatsForecast, MLForecast, and NeuralForecast, with keywords around AutoETS, seasonal naive models, benchmarks, and lab-style experimentation—signals that the pack is for serious time-series work, not generic chat. Install when you already know you need defensible baselines and comparative benchmarks before layering neural models. After registration, expect Claude to guide dataset prep, model selection, and forecast evaluation in language aligned with Nixtla docs. It is narrower than a full data platform: one plugin count, one repo, one domain.
Highlights
- Claude Code plugin bridging Nixtla StatsForecast, MLForecast, and NeuralForecast
- Agent skills for baselines such as AutoETS, AutoTheta, and seasonal naive benchmarks
- Dataset-centric forecast and benchmark workflows from the plugins-nixtla repo
- Single-plugin marketplace entry focused on time-series forecasting, not general ML
Why builders use it
Builders doing time-series features in Claude Code lack guided, library-native paths for baselines, benchmarks, and Nixtla forecast pipelines.
After install, your agent can orchestrate StatsForecast, MLForecast, and NeuralForecast-style workflows against your datasets from Claude Code.
At a glance
- Type - Plugin in LLM Integration.
- Adoption - 0 installs, 6 stars, 0 votes.
FAQ
Who is intent-solutions-io-plugins-nixtla for?
It is for developers using Claude Code who build time-series features with Nixtla’s StatsForecast, MLForecast, or NeuralForecast stacks.
When should I use intent-solutions-io-plugins-nixtla?
Use it during Build while integrating forecast pipelines, baselines, and benchmarks before you ship predictive analytics to users.
How do I add intent-solutions-io-plugins-nixtla to my agent?
Add the intent-solutions-io/plugins-nixtla marketplace plugin to Claude Code, enable the Nixtla plugin, and ensure your Python environment can run the Nixtla libraries the skills reference.
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