Checkpoint

🌐Community
by petekp · vlatest · Repository

The Checkpoint skill verifies if a user’s response aligns with a specified prompt, ensuring accurate and consistent outputs for improved interactions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add petekp-checkpoint npx -- -y @trustedskills/petekp-checkpoint
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "petekp-checkpoint": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/petekp-checkpoint"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill, petekp-checkpoint, provides a mechanism to pause and resume execution within an AI agent workflow. It allows users to save the current state of a process, effectively creating checkpoints that can be revisited later. This is particularly useful for long or complex tasks where interruptions are likely or experimentation requires resetting to specific points in time.

When to use it

  • Long-running processes: When an agent task might take a significant amount of time (e.g., generating a large document, training a model).
  • Experimentation and debugging: To easily revert to previous states while testing different approaches or troubleshooting issues.
  • Interrupted workflows: If an agent's execution is frequently interrupted (due to resource constraints or network instability), checkpoints ensure progress isn’t lost.
  • Complex multi-stage tasks: When a workflow involves several distinct steps, checkpoints allow restarting from any stage without redoing prior ones.

Key capabilities

  • Save current state
  • Resume execution from saved state
  • Checkpoint management (create, list, delete)

Example prompts

  • "Create a checkpoint named 'initial_draft'"
  • "List all available checkpoints"
  • "Resume from checkpoint 'model_training_v2'"

Tips & gotchas

The skill relies on the underlying agent framework to properly serialize and deserialize the state. Ensure that any external dependencies or resources used by the agent are also saved or restored appropriately when creating and resuming checkpoints.

Tags

🛡️

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Details

Version
vlatest
License
Author
petekp
Installs
11

🌐 Community

Passed automated security scans.