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AI Agent Workflow Collection

Skill pack
2 skills0 selected
mlflowSkills in this pack

Add a review comment to a GitHub pull request.

English

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle…

English

Includes Add Review Comment and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills2CategorygeneralStars0

What’s included

Add Review Comment

Add a review comment to a GitHub pull request.

Mlflow

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Add Review Comment skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported licenses for the skills shown: Apache-2.0, MIT. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas