Checkpoint Manager
The Checkpoint Manager skill automatically creates and manages checkpoints in your workflow, ensuring consistent results and simplifying iteration.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add checkpoint-manager npx -- -y @trustedskills/checkpoint-manager
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"checkpoint-manager": {
"command": "npx",
"args": [
"-y",
"@trustedskills/checkpoint-manager"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The checkpoint-manager skill allows AI agents to save and restore their progress, enabling them to resume tasks after interruptions or errors. It facilitates long-running processes by periodically creating checkpoints that can be loaded later. This ensures resilience against unexpected events and allows for more complex workflows.
When to use it
- Long computations: Use when an agent is performing a task that takes a significant amount of time, such as generating large amounts of text or processing extensive datasets.
- Error-prone processes: If the agent’s actions are prone to errors, checkpoints allow for recovery and prevent complete restarts.
- Interrupted workflows: When dealing with tasks that might be interrupted (e.g., due to network issues), checkpointing ensures progress isn't lost.
Key capabilities
- Save agent state periodically.
- Restore agent state from saved checkpoints.
- Manage multiple checkpoints.
Example prompts
- "Create a checkpoint named 'initial_setup'."
- "Load the latest checkpoint."
- "List all available checkpoints."
Tips & gotchas
The skill requires sufficient memory to store the agent's state during checkpoint creation. Consider the frequency of checkpointing versus the overhead it introduces; more frequent checkpoints increase storage needs and processing time.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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