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Jj Split Changeset

Checked
redisearch·vlatest·backend

This skill splits a changeset into smaller, manageable chunks for easier review and rollback, streamlining development workflows.

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 redisearch/redisearch --skill jj-split-changeset -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

redisearch

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 redisearch/redisearch at c8f9d94e77.

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

Commit
c8f9d94e77
Manifest
.skills/jj-split-changeset/SKILL.md
Scanned
1 file, 347 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 jj-split-changeset skill allows an AI agent to split a large changeset (like a Git diff) into smaller, more manageable chunks. This is useful when dealing with very large files or changesets that exceed processing limits. The skill facilitates easier analysis and targeted actions on specific parts of the overall change.

When to use it

  • Analyzing Large Code Changes: Break down a massive pull request into logical sections for review.
  • Automated Testing: Run tests on individual components within a large changeset instead of the entire thing at once.
  • Incremental Updates: Apply changes in smaller batches, especially when dealing with systems that have limitations on update size.
  • Focused Refactoring: Isolate and refactor specific parts of a large file or directory.

Key capabilities

  • Splits large changesets into smaller chunks.
  • Supports various changeset formats (e.g., Git diff).
  • Allows specifying chunk size or criteria for splitting.

Example prompts

  • "Split this git diff into chunks of 50 lines each."
  • "Break down this pull request into logical components based on file paths."
  • "Can you divide this changeset by function?"

Tips & gotchas

The skill's effectiveness depends on the structure and format of the input changeset. Ensure the changeset is properly formatted for parsing; otherwise, splitting may be inaccurate or fail.