ml
v1.0.0ML pipeline skills: feature-change (schema contract between training and serving, leakage check), model-eval (multi-season leave-one-out regression gate before any model claim), ship-model (snapshot, registry, artifact publish, rollback). Pairs with the ml-reviewer subagent.
By Engineering1 GitHub starsUpdated 2 days ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 3 skill or MCP entries
- Source updated
- Sep 22, 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 ml for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install ml@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/kulykivska/claude-pluginsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is ml/.
Plugin files
├── .claude-plugin/plugin.json├── skills/feature-change/SKILL.md├── skills/model-eval/SKILL.md└── skills/ship-model/SKILL.md
Included Skills3
Add, remove or rename a model feature without breaking serving. Trigger on "add a model feature", "new feature in the model", "add a feature", "remove this feature", or any diff touching the feature schema. Covers the training and serving sides of the contract, the leakage check, and deploy ordering.
Prove a model change is real before shipping it. Trigger on "did it get better?", "check the model", "evaluate this model change", "did this improve MAE", or before any PR that claims a metric win. Runs the multi-season leave-one-out harness and applies the regression gate.
Release a retrained model into serving. Trigger on "ship this model", "publish the model", "publish the new weights", or after a model change has passed the eval gate. Covers snapshot, registry, artifact publish, verification against live, and the rollback path.
Plugin manifests1
{
"name": "ml",
"version": "1.0.0",
"description": "ML pipeline skills: feature-change (schema contract between training and serving, leakage check), model-eval (multi-season leave-one-out regression gate before any model claim), ship-model (snapshot, registry, artifact publish, rollback). Pairs with the ml-reviewer subagent.",
"author": {
"name": "Engineering"
}
}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.
[ml on Agent Plugins Marketplace](https://pluginsmp.com/plugins/ml)