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Valohai Skills

ChatGPT plugin

ML migration to Valohai

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Help developers migrate Python ML projects to Valohai. Six skills cover valohai.yaml steps, configurable parameters, JSON metrics, managed inputs and outputs, project execution, and multi-step pipelines. The plugin provides instructions; running jobs requires a Valohai account and valohai-cli.

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#10631of 10,70453places down24h—7d
#8,739#9,255#9,771#10,287#10,803Oct 4Oct 10Oct 16Oct 22Oct 28Nov 2

Rank in Developer tools

#844of 8667places down24h—7d
#719#754#789#824Oct 4Oct 10Oct 16Oct 22Oct 28Nov 2

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How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Developer tools844th of 866 by placement
#PluginPosition7d
842mlx-optiq Local Models#10628—
843Fastly#106301,921places down
844Valohai SkillsThis page#10631—
845Postlane#106431,921places down
846Mobile Dev#106461,922places down

All 866 Developer tools plugins

Example prompts

  • “Help migrate this ML project to Valohai.”
  • “Create Valohai steps for this codebase.”
  • “Design a Valohai pipeline for this project.”

Skills

  • valohai-design-pipelines

    Analyze ML project structure and design Valohai pipelines to orchestrate multi-step workflows. Use this skill when a user wants to create a Valohai pipeline, connect multiple ML steps into an automated workflow, identify pipeline opportunities in their codebase, design data flow between preprocessing/training/evaluation/inference steps, or add conditional logic and parallel execution to pipelines. Triggers on mentions of pipelines, workflows, DAGs, orchestration, multi-step ML, or connecting Valohai steps.

  • valohai-migrate-data

    Migrate data loading and model saving in ML code to use Valohai's input/output system. Use this skill when a user wants to configure data inputs from cloud storage (S3, Azure Blob, GCS), save model outputs to Valohai, replace hardcoded file paths, remove boto3/cloud SDK code, or set up the Valohai file I/O system. Triggers on mentions of inputs, outputs, data loading, model saving, S3, cloud storage, file paths, or Valohai data migration.

  • valohai-migrate-metrics

    Add metrics and metadata tracking to ML code for Valohai. Use this skill when a user wants to track training metrics (loss, accuracy, F1, etc.), log experiment metadata, enable real-time metric visualization, or compare experiments in Valohai. Triggers on mentions of metrics, metadata, experiment tracking, logging accuracy/loss, or Valohai metric migration.

  • valohai-migrate-parameters

    Migrate hardcoded values, hyperparameters, and configuration values in ML code to Valohai parameters. Use this skill when a user wants to make their ML scripts configurable through Valohai, expose hyperparameters for tuning, externalize configuration values, convert hardcoded values to command-line arguments, or add parameter definitions to valohai.yaml. Triggers on mentions of parameters, hyperparameters, configuration, argparse, configurable training, or Valohai parameter migration.

  • valohai-project-run

    Create a Valohai project, link it to a local directory, and run executions or pipelines using the Valohai CLI. Use this skill when a user wants to set up a new Valohai project, link an existing project, run a step execution, run a pipeline, watch execution logs, or manage their Valohai project via the CLI. Triggers on mentions of vh project create, vh execution run, vh pipeline run, running on Valohai, or Valohai CLI commands.

  • valohai-yaml-step

    Create valohai.yaml step definitions for ML projects. Use this skill when a user wants to define a new step in valohai.yaml, configure Docker images, set up commands, define parameters/inputs for a step, or create a complete valohai.yaml from scratch for their ML project. Triggers on mentions of valohai.yaml, step definition, YAML configuration, Docker image selection, or creating Valohai steps.

Categories
Made by
Valohai · Website
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On Install
Capabilities
Interactive
Availability
Available
Version
0.1.0
Keywords
valohai, mlops, machine-learning, migration
Created
October 2, 2026
More info
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