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Context Management Context Restore

Checked
rmyndharis·vlatest·agents·MIT

Rmyndharis's context restore allows agents to recall and resume previous conversations seamlessly, preserving crucial information.

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 rmyndharis/antigravity-skills --skill context-management-context-restore -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Commit
3eff4af253
Manifest
skills/context-management-context-restore/SKILL.md
Scanned
1 file, 171 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

This skill allows an AI agent to save and restore its context during complex tasks or interruptions. It enables the agent to remember previous steps, decisions, and data, ensuring continuity when resuming a workflow. This is particularly useful for long-running processes that might be interrupted by other requests or system limitations.

When to use it

  • Long research projects: When an agent needs to gather information from multiple sources over time.
  • Complex coding tasks: To preserve the state of code being written, allowing for interruptions and returns later.
  • Multi-step data analysis: For agents performing intricate data processing that requires remembering intermediate results.
  • Interactive tutorials or training sessions: To maintain progress and context throughout a learning experience.

Key capabilities

  • Context saving: Ability to store the current state of an agent's environment.
  • Context restoration: Capability to retrieve and apply previously saved context.
  • Workflow continuity: Ensures tasks can be resumed seamlessly after interruptions.

Example prompts

  • "Save my current progress on this report."
  • "Restore the last known context for coding project 'Alpha'."
  • “Can you resume where we left off with the data analysis?”

Tips & gotchas

  • Context storage can consume resources, so manage saved contexts carefully.
  • Ensure clear naming conventions are used when saving contexts to avoid confusion during restoration.