setup-repo
Подготовка рабочих копий AutoGPT для параллельной разработки
Что получите
Основная рабочая копия, копия reviews, ветки branch1–branchN с отдельными каталогами и отчёт о настройке окружения.
Что передать
Клонированный репозиторий; число рабочих веток и базовая ветка выбираются в диалоге.
Проверен состав файлов. Запуск не тестировался. Что проверено
Оценки пользователей
Как использовать
Помогает настроить недавно клонированный репозиторий AutoGPT для нескольких независимых задач. Создаёт соседние рабочие копии Git для разработки и отдельную копию для проверки запросов на слияние.
- Укажите нужное количество рабочих веток и ветку, от которой они должны начинаться.
- Создайте соседние рабочие копии для проверки изменений и параллельной разработки.
- Подготовьте окружение и зависимости в рабочих копиях, затем получите сводку созданных копий и возникших проблем.
Условия работы
- Сценарий рассчитан на структуру AutoGPT, использует Git, Poetry и pnpm; получение базовых веток требует доступа к origin.
- Готовая структура рабочих копий сохраняется; уже существующие ветки и каталоги пропускаются.
- Файлы окружения копируются из исходной рабочей копии или создаются из шаблонов, которые могут потребовать редактирования. Если ни файлов, ни шаблонов нет, продолжение требует подтверждения пользователя.
Пример запроса после установки
Настрой свежий клон AutoGPT для четырёх параллельных задач от origin/dev, добавь отдельную рабочую копию для проверки изменений и сообщи о проблемах с окружением.
Пример составлен по инструкции автора; результат запуска не проверялся.
Основание: инструкция закреплённой версииДля установки
Node.js, npm и Git для команды выше. Подключения и инструменты для работы скилла настраиваются отдельно.
Совместимые агенты
Совместимость указана для инструкций. Запуск в каждом приложении не тестировался; для веб-чата способ подключения может отличаться.
Файлы скилла
GitHubЧитать инструкцию SKILL.md
Исходный текст закреплённой версии.
---
name: setup-repo
description: Initialize a worktree-based repo layout for parallel development. Creates a main worktree, a reviews worktree for PR reviews, and N numbered work branches. Handles .env creation, dependency installation, and branchlet config. TRIGGER when user asks to set up the repo from scratch, initialize worktrees, bootstrap their dev environment, "setup repo", "setup worktrees", "initialize dev environment", "set up branches", or when a freshly cloned repo has no sibling worktrees.
user-invocable: true
args: "No arguments — interactive setup via prompts."
metadata:
author: autogpt-team
version: "1.0.0"
---
# Repository Setup
This skill sets up a worktree-based development layout from a freshly cloned repo. It creates:
- A **main** worktree (the primary checkout)
- A **reviews** worktree (for PR reviews)
- **N work branches** (branch1..branchN) for parallel development
## Step 1: Identify the repo
Determine the repo root and parent directory:
```bash
ROOT=$(git rev-parse --show-toplevel)
REPO_NAME=$(basename "$ROOT")
PARENT=$(dirname "$ROOT")
```
Detect if the repo is already inside a worktree layout by counting sibling worktrees (not just checking the directory name, which could be anything):
```bash
# Count worktrees that are siblings (live under $PARENT but aren't $ROOT itself)
SIBLING_COUNT=$(git worktree list --porcelain 2>/dev/null | grep "^worktree " | grep -c "$PARENT/" || true)
if [ "$SIBLING_COUNT" -gt 1 ]; then
echo "INFO: Existing worktree layout detected at $PARENT ($SIBLING_COUNT worktrees)"
# Use $ROOT as-is; skip renaming/restructuring
else
echo "INFO: Fresh clone detected, proceeding with setup"
fi
```
## Step 2: Ask the user questions
Use AskUserQuestion to gather setup preferences:
1. **How many parallel work branches do you need?** (Options: 4, 8, 16, or custom)
- These become `branch1` through `branchN`
2. **Which branch should be the base?** (Options: origin/master, origin/dev, or custom)
- All work branches and reviews will start from this
## Step 3: Fetch and set up branches
```bash
cd "$ROOT"
git fetch origin
# Create the reviews branch from base (skip if already exists)
if git show-ref --verify --quiet refs/heads/reviews; then
echo "INFO: Branch 'reviews' already exists, skipping"
else
git branch reviews <base-branch>
fi
# Create numbered work branches from base (skip if already exists)
for i in $(seq 1 "$COUNT"); do
if git show-ref --verify --quiet "refs/heads/branch$i"; then
echo "INFO: Branch 'branch$i' already exists, skipping"
else
git branch "branch$i" <base-branch>
fi
done
```
## Step 4: Create worktrees
Create worktrees as siblings to the main checkout:
```bash
if [ -d "$PARENT/reviews" ]; then
echo "INFO: Worktree '$PARENT/reviews' already exists, skipping"
else
git worktree add "$PARENT/reviews" reviews
fi
for i in $(seq 1 "$COUNT"); do
if [ -d "$PARENT/branch$i" ]; then
echo "INFO: Worktree '$PARENT/branch$i' already exists, skipping"
else
git worktree add "$PARENT/branch$i" "branch$i"
fi
done
```
## Step 5: Set up environment files
**Do NOT assume .env files exist.** For each worktree (including main if needed):
1. Check if `.env` exists in the source worktree for each path
2. If `.env` exists, copy it
3. If only `.env.default` or `.env.example` exists, copy that as `.env`
4. If neither exists, warn the user and list which env files are missing
Env file locations to check (same as the `/worktree` skill — keep these in sync):
- `autogpt_platform/.env`
- `autogpt_platform/backend/.env`
- `autogpt_platform/frontend/.env`
> **Note:** This env copying logic intentionally mirrors the `/worktree` skill's approach. If you update the path list or fallback logic here, update `/worktree` as well.
```bash
SOURCE="$ROOT"
WORKTREES="reviews"
for i in $(seq 1 "$COUNT"); do WORKTREES="$WORKTREES branch$i"; done
FOUND_ANY_ENV=0
for wt in $WORKTREES; do
TARGET="$PARENT/$wt"
for envpath in autogpt_platform autogpt_platform/backend autogpt_platform/frontend; do
if [ -f "$SOURCE/$envpath/.env" ]; then
FOUND_ANY_ENV=1
cp "$SOURCE/$envpath/.env" "$TARGET/$envpath/.env"
elif [ -f "$SOURCE/$envpath/.env.default" ]; then
FOUND_ANY_ENV=1
cp "$SOURCE/$envpath/.env.default" "$TARGET/$envpath/.env"
echo "NOTE: $wt/$envpath/.env was created from .env.default — you may need to edit it"
elif [ -f "$SOURCE/$envpath/.env.example" ]; then
FOUND_ANY_ENV=1
cp "$SOURCE/$envpath/.env.example" "$TARGET/$envpath/.env"
echo "NOTE: $wt/$envpath/.env was created from .env.example — you may need to edit it"
else
echo "WARNING: No .env, .env.default, or .env.example found at $SOURCE/$envpath/"
fi
done
done
if [ "$FOUND_ANY_ENV" -eq 0 ]; then
echo "WARNING: No environment files or templates were found in the source worktree."
# Use AskUserQuestion to confirm: "Continue setup without env files?"
# If the user declines, stop here and let them set up .env files first.
fi
```
## Step 6: Copy branchlet config
Copy `.branchlet.json` from main to each worktree so branchlet can manage sub-worktrees:
```bash
if [ -f "$ROOT/.branchlet.json" ]; then
for wt in $WORKTREES; do
cp "$ROOT/.branchlet.json" "$PARENT/$wt/.branchlet.json"
done
fi
```
## Step 7: Install dependencies
Install deps in all worktrees. Run these sequentially per worktree:
```bash
for wt in $WORKTREES; do
TARGET="$PARENT/$wt"
echo "=== Installing deps for $wt ==="
(cd "$TARGET/autogpt_platform/autogpt_libs" && poetry install) &&
(cd "$TARGET/autogpt_platform/backend" && poetry install && poetry run prisma generate) &&
(cd "$TARGET/autogpt_platform/frontend" && pnpm install) &&
echo "=== Done: $wt ===" ||
echo "=== FAILED: $wt ==="
done
```
This is slow. Run in background if possible and notify when complete.
## Step 8: Verify and report
After setup, verify and report to the user:
```bash
git worktree list
```
Summarize:
- Number of worktrees created
- Which env files were copied vs created from defaults vs missing
- Any warnings or errors encountered
## Final directory layout
```
parent/
main/ # Primary checkout (already exists)
reviews/ # PR review worktree
branch1/ # Work branch 1
branch2/ # Work branch 2
...
branchN/ # Work branch N
```
Проверка и особенности
Автоматическая проверка источника и файлов
Автоматически проверены публичный репозиторий, лицензия, заголовок SKILL.md, состав текстового пакета и Git-хеш каждого файла. Пакеты с исполняемым кодом и срабатываниями применённых статических правил не включены. Ручной аудит всех инструкций и функциональный запуск не проводились. Внешние инструменты и сервисы не проверялись. Проверка не гарантирует безопасность.
У репозитория было 187,589 звёзд GitHub при проверке 2026-09-27. Порог добавления — строго больше 100 000. Звёзды относятся ко всему репозиторию, а не к качеству или установкам скилла.
- Проверка состава
- 27.09.2026
- Проверенная версия
c035ab1f91b8- Файлы с кодом
- Не указаны в данных проверки
- Изменения на GitHub
- Нужна повторная проверкаПоследняя проверка: 11.10.2026
Репозиторий и лицензия
Это показатели всего репозитория, а не установки скилла. Снимок требует обновления.
- Последняя активность GitHub
- 11.10.2026
- Лицензия
- MIT
- Добавлен в каталог
- 27.09.2026
Полный текст лицензии
All portions of this repository are under one of two licenses. - Everything inside the autogpt_platform folder is under the Polyform Shield License. - Everything outside the autogpt_platform folder is under the MIT License. More info: **Polyform Shield License:** Code and content within the `autogpt_platform` folder is licensed under the Polyform Shield License. This new project is our in-developlemt platform for building, deploying and managing agents. Read more about this effort here: https://agpt.co/blog/introducing-the-autogpt-platform **MIT License:** All other portions of the AutoGPT repository (i.e., everything outside the `autogpt_platform` folder) are licensed under the MIT License. This includes: - The Original, stand-alone AutoGPT Agent - Forge: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge - AG Benchmark: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark - AutoGPT Classic GUI: https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend. We also publish additional work under the MIT Licence in other repositories, such as GravitasML (https://github.com/Significant-Gravitas/gravitasml) which is developed for and used in the AutoGPT Platform, and our [Code Ability](https://github.com/Significant-Gravitas/AutoGPT-Code-Ability) project. Both licences are available to read below: ===================================================== ----------------------------------------------------- ===================================================== # PolyForm Shield License 1.0.0 <https://polyformproject.org/licenses/shield/1.0.0> ## Acceptance In order to get any license under these terms, you must agree to them as both strict obligations and conditions to all your licenses. ## Copyright License The licensor grants you a copyright license for the software to do everything you might do with the software that would otherwise infringe the licensor's copyright in it for any permitted purpose. However, you may only distribute the software according to [Distribution License](#distribution-license) and make changes or new works based on the software according to [Changes and New Works License](#changes-and-new-works-license). ## Distribution License The licensor grants you an additional copyright license to distribute copies of the software. Your license to distribute covers distributing the software with changes and new works permitted by [Changes and New Works License](#changes-and-new-works-license). ## Notices You must ensure that anyone who gets a copy of any part of the software from you also gets a copy of these terms or the URL for them above, as well as copies of any plain-text lines beginning with `Required Notice:` that the licensor provided with the software. For example: > Required Notice: Copyright Yoyodyne, Inc. 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Goods and services compete even when provided free of charge. If you market a product as a practical substitute for the software or another product, it definitely competes. ## New Products If you are using the software to provide a product that does not compete, but the licensor or any of its affiliates brings your product into competition by providing a new version of the software or another product using the software, you may continue using versions of the software available under these terms beforehand to provide your competing product, but not any later versions. ## Discontinued Products You may begin using the software to compete with a product or service that the licensor or any of its affiliates has stopped providing, unless the licensor includes a plain-text line beginning with `Licensor Line of Business:` with the software that mentions that line of business. For example: > Licensor Line of Business: YoyodyneCMS Content Management System (http://example.com/cms) ## Sales of Business If the licensor or any of its affiliates sells a line of business developing the software or using the software to provide a product, the buyer can also enforce [Noncompete](#noncompete) for that product. ## Fair Use You may have "fair use" rights for the software under the law. These terms do not limit them. ## No Other Rights These terms do not allow you to sublicense or transfer any of your licenses to anyone else, or prevent the licensor from granting licenses to anyone else. These terms do not imply any other licenses. ## Patent Defense If you make any written claim that the software infringes or contributes to infringement of any patent, your patent license for the software granted under these terms ends immediately. If your company makes such a claim, your patent license ends immediately for work on behalf of your company. ## Violations The first time you are notified in writing that you have violated any of these terms, or done anything with the software not covered by your licenses, your licenses can nonetheless continue if you come into full compliance with these terms, and take practical steps to correct past violations, within 32 days of receiving notice. Otherwise, all your licenses end immediately. ## No Liability ***As far as the law allows, the software comes as is, without any warranty or condition, and the licensor will not be liable to you for any damages arising out of these terms or the use or nature of the software, under any kind of legal claim.*** ## Definitions The **licensor** is the individual or entity offering these terms, and the **software** is the software the licensor makes available under these terms. A **product** can be a good or service, or a combination of them. **You** refers to the individual or entity agreeing to these terms. **Your company** is any legal entity, sole proprietorship, or other kind of organization that you work for, plus all its affiliates. **Affiliates** means the other organizations than an organization has control over, is under the control of, or is under common control with. **Control** means ownership of substantially all the assets of an entity, or the power to direct its management and policies by vote, contract, or otherwise. Control can be direct or indirect. **Your licenses** are all the licenses granted to you for the software under these terms. **Use** means anything you do with the software requiring one of your licenses. ===================================================== ----------------------------------------------------- ===================================================== MIT License Copyright (c) 2023 Toran Bruce Richards Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. 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