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New Feature

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michaelshimeles
new-feature

Start a new task in an isolated Git worktree branched from origin/main so multiple agents can work on the same repo in parallel without conflicts. Use at the beginning of every new feature, fix, or task — before writing any code.

Overview

Publishermichaelshimeles
Repositoryskills
Skill namenew-feature
Stars
1.2K
Forks
198
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the New Feature 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/michaelshimeles/skills/tree/main/new-feature
  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/michaelshimeles/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/new-feature .claude/skills/new-feature
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable New Feature 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 New Feature 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 New Feature 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.

New Feature

Every task gets its own worktree and branch, created from the latest origin/main. Never build on main, and never reuse another agent's worktree or branch.

Harness deltas — read first

  • Claude Code: the harness creates and manages worktrees itself (under .claude/worktrees/<name>). Skip steps 3–4 below (no manual git worktree add / remove), and keep the harness-assigned branch name. Steps 1–2 and 5 still apply.
  • Cursor-managed worktrees (branches named worktree-*): same idea — keep the assigned branch and worktree, apply steps 2 and 5.
  • Any other harness: follow all steps.

Steps

  1. Sync: git fetch origin.

  2. Scope check: run gh pr list and skim the open PRs' changed files (gh pr diff <n> --name-only). If your task needs files another open PR is editing, stop and ask for direction instead of proceeding. Also check for uncommitted work in the checkout — another agent may be mid-task.

  3. Name the task: lowercase-with-hyphens plus a short unique suffix, e.g. user-auth-0816a. If git worktree add fails because the name exists, pick a different name — never force or reuse.

  4. Create the worktree from the repo root:

    bash
    git worktree add <worktrees-dir>/<task-name> \
      -b <branch-prefix>/<task-name> origin/main

    Use a gitignored directory for worktrees (e.g. .claude/worktrees/ or .worktrees/) so they can never be committed by accident, and a consistent branch prefix (e.g. agent/). Follow the repo's conventions if it defines them.

  5. Enter and verify:

    bash
    cd <worktrees-dir>/<task-name>
    git branch --show-current   # must print your new branch, not main

    Then install dependencies fresh inside the worktree (worktrees don't share node_modules/virtualenvs) and confirm the runtime version the repo requires before running anything.

Remember

  • Worktrees do not isolate shared resources: dev-server ports, shared databases, and dependency lockfiles are global. Confirm a port answers your process (lsof -i :<port>) before trusting what it serves, and resolve lockfile conflicts by regenerating, never by hand-merging.

  • Keep the worktree until the PR is merged or closed. Cleanup after merge:

    bash
    git worktree remove <worktrees-dir>/<task-name>
    git branch -D <branch-prefix>/<task-name>

    -D is expected: after a squash- or rebase-merge, -d refuses even though the work is merged.

Frequently asked questions

What does the New Feature AI skill do?

Start a new task in an isolated Git worktree branched from origin/main so multiple agents can work on the same repo in parallel without conflicts. Use at the beginning of every new feature, fix, or task — before writing any code.

Why use New Feature on TypingMind?

Because you install it once and use it with any model. New Feature 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 New Feature in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/michaelshimeles/skills/tree/main/new-feature. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use New Feature?

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 New Feature?

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

Is the New Feature AI skill free?

It is published on GitHub by michaelshimeles. Check the repository for licensing terms. 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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