clear-tinker-storage

Delete all training and sampler checkpoints from a Tinker account.

59|6|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/kfallah/CLaaS --skill clear-tinker-storage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clear-tinker-storage
Source: https://github.com/kfallah/CLaaS/tree/main/.claude/skills/clear-tinker-storage
Command: npx skills add https://github.com/kfallah/CLaaS --skill clear-tinker-storage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps manage cloud storage costs by deleting old checkpoints from your Tinker account, preventing unnecessary charges.

Core Features & Use Cases

  • Storage Management: Automatically identifies and deletes checkpoints associated with your Tinker account.
  • Cost Reduction: Frees up storage space, directly reducing your cloud service expenses.
  • Use Case: If you've been experimenting with different model training runs on Tinker and accumulated many checkpoints, running this skill will clean them up and lower your bill.

Quick Start

Run the clear-tinker-storage skill to delete all checkpoints from your Tinker account.

Frequently Asked Questions about clear-tinker-storage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I delete checkpoints in Tinker to reduce storage costs?

You can reduce Tinker storage costs by running a cleanup process that automatically identifies and deletes all training and sampler checkpoints associated with your account, freeing up space and lowering your bill.

What happens to my model training checkpoints when I clean up Tinker storage?

Cleaning up Tinker storage performs a destructive deletion of all training and sampler checkpoints. Once executed, the accumulated checkpoints from your model experiments are permanently removed to free up space.

Do I need a Tinker API key to free up storage space?

Yes, you need a valid TINKER_API_KEY to authenticate the storage cleanup process. The API key is required to access your Tinker Machine Learning account and perform the destructive deletion of checkpoints.

When should I run a storage cleanup on my Tinker Machine Learning account?

You should run a Tinker storage cleanup when you have accumulated many checkpoints from different model training runs and want to prevent unnecessary charges. This directly reduces your cloud resource consumption.

Are there limitations or risks when deleting all Tinker checkpoints?

The primary limitation is that the deletion is destructive and permanent. You should not use this approach if you need to retain or resume experiments from specific training or sampler checkpoints, as they cannot be recovered.