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Parallel Slices

Community
paulinevos
parallel-slices

Coordinate parallel work in Jujutsu workspaces: choose jj or a git-worktree fallback, split reviewable slices, create and dispatch isolated workspaces, monitor safely, and integrate. Use when planning or orchestrating multi-agent work in a jj repository.

Overview

Publisherpaulinevos
Repositoryclaude-stuff
Skill nameparallel-slices
Stars
64
Forks
0
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by paulinevos on GitHub. Read the source before you install it.

Installation

Install the Parallel Slices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/paulinevos/claude-stuff/tree/main/plugins/jj-workflow/skills/parallel-slices
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/paulinevos/claude-stuff.git /tmp/claude-stuff
mkdir -p .claude/skills
cp -r /tmp/claude-stuff/plugins/jj-workflow/skills/parallel-slices .claude/skills/parallel-slices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Parallel Slices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Parallel Slices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Parallel Slices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

parallel-slices

You orchestrate; workers own their workspaces. Read conventions. Use git-fallback if jj root fails, or if required work/tests need git submodules. A jj repo with irrelevant submodules may continue, but the workspaces cannot materialise them. Stop if neither jj nor git applies.

  1. Split work into independently testable, reviewable slices. Record name, base, owned files, and done criteria; show the table before creating anything. Independent slices base on trunk(); dependent slices base on the parent's bookmark. Avoid overlapping files.

  2. Before creating a workspace, ask the user to grant edit permission for ${HOME}/.jj-workspaces and wait for that permission. Request the shared root, not each slice directory, so workers are not prompted repeatedly. Then create each workspace outside checkouts, always at ${HOME}/.jj-workspaces/<repo>/<slice>:

    sh
    jj git fetch
    repo=$(basename "$(jj root)")
    workspace_root="${HOME}/.jj-workspaces/${repo}"
    mkdir -p "$workspace_root"
    jj workspace add --name <slice> -r 'trunk()' --sparse-patterns full "$workspace_root/<slice>"

    For a dependent slice, use -r <parent-slice> only after that bookmark exists. Do not create a bookmark on its initial empty @.

  3. Give each worker its workspace path, slice/bookmark and base, purpose, owned files, hand-off criteria, and work-in-slice. They must not touch other slices. If a child starts before hand-off, its parent may add at the tip but must not rewrite ancestors.

  4. Monitor from the default workspace with revsets, not commands in worker directories. A plain jj -R <workspace> snapshots that worker's edits; if -R is unavoidable, add --ignore-working-copy.

  5. After hand-off, use finish-slices. Rebase a child onto a grown parent only from the default workspace; its now-stale handed-off workspace is harmless.

All workspaces share revisions and bookmarks immediately. One owner per change, bookmark, and workspace prevents concurrent rewrites from making workers stale.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Parallel Slices AI skill do?

Coordinate parallel work in Jujutsu workspaces: choose jj or a git-worktree fallback, split reviewable slices, create and dispatch isolated workspaces, monitor safely, and integrate. Use when planning or orchestrating multi-agent work in a jj repository.

Why use Parallel Slices on TypingMind?

Because you install it once and use it with any model. Parallel Slices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Parallel Slices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paulinevos/claude-stuff/tree/main/plugins/jj-workflow/skills/parallel-slices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Parallel Slices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Parallel Slices?

As many as you like. As long as a model supports skills, you can use Parallel Slices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Parallel Slices AI skill free?

Yes. It is published on GitHub by paulinevos under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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