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Checkpointing

Checked
del-taiseiozaki·vlatest·other·MIT

This "Checkpointing" skill saves and restores AI states, preventing lost context & ensuring consistent, reliable responses across sessions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add del-taiseiozaki/claude-code-orchestra --skill checkpointing -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

del-taiseiozaki

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned del-taiseiozaki/claude-code-orchestra at ef0d8f844d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
ef0d8f844d
Manifest
.claude/skills/checkpointing/SKILL.md
Scanned
4 files, 2,642 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The checkpointing skill allows an AI agent to save its progress during a complex task and resume later from that saved state. This is particularly useful for long-running processes or when interruptions are likely. It enables the agent to maintain context and avoid restarting from scratch, improving efficiency and reliability.

When to use it

  • Long code generation tasks: Generating large files of code can be interrupted; checkpointing ensures progress isn't lost.
  • Complex data processing pipelines: If an AI is transforming a dataset in stages, checkpoints prevent having to reprocess earlier steps after an error or interruption.
  • Multi-stage reasoning workflows: For tasks requiring multiple rounds of thought and action, checkpointing preserves the agent’s understanding and avoids repetitive explanations.
  • Interactive sessions: Allows users to pause and resume a session with the AI agent without losing context.

Key capabilities

  • Save state
  • Load state
  • Resume from saved checkpoints
  • Manage multiple checkpoints

Example prompts

  • "Create a Python script to scrape data from this website, but checkpoint every 100 records."
  • "I need you to write a novel. Save the current chapter as a checkpoint so I can review it later."
  • “Can you save my progress on this complex mathematical proof?”

Tips & gotchas

Checkpointing relies on the underlying system's ability to serialize and deserialize the agent’s state, which may have limitations depending on the data structures used. Large or complex states will take longer to checkpoint and load.