检查代码变更的测试情况及对现有功能的影响,按仓库模板创建PR,并继续处理评审请求、反馈意见和CI检查。
- 按指定模板创建PR
- 检查现有功能与新功能的测试
- 本地验证受限时请求机器人评审
使用Git工作树为同一仓库建立审查和并行开发目录,创建指定数量的工作分支,配置环境文件、复制branchlet配置并安装依赖。
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.
实测评分 未实测
查看安装方法通过Git工作树,让同一仓库的多个分支分别位于不同目录。在现有主工作目录旁创建用于PR审查的reviews,以及指定数量的branch1至branchN。还会配置环境文件、复制.branchlet.json并安装依赖。
适合刚克隆仓库后准备开发环境,或希望在不同目录中分别推进多项修改与PR审查的情况。创建前会检查已有分支和工作目录,已经存在的项目会跳过创建。
origin/dev为基础初始化工作树。”工作分支的数量和基础分支通过交互指定。结束时会报告创建数量、缺少的环境文件以及遇到的错误,便于了解配置结果。
流程以autogpt_platform下的目录结构为前提,使用Git、Poetry和pnpm。如果环境文件由模板生成,可能需要编辑其中的内容。依赖安装需要一定时间。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月23日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
This skill sets up a worktree-based development layout from a freshly cloned repo. It creates:
Determine the repo root and parent directory:
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):
# 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 $ROOT as-is; skip renaming/restructuring
else
echo "INFO: Fresh clone detected, proceeding with setup"
fi
Use AskUserQuestion to gather setup preferences:
branch1 through branchNcd "$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$i" <base-branch>
fi
done
Create worktrees as siblings to the main checkout:
if [ -d "$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$i"
fi
done
Do NOT assume .env files exist. For each worktree (including main if needed):
.env exists in the source worktree for each path.env exists, copy it.env.default or .env.example exists, copy that as .envEnv file locations to check (same as the /worktree skill — keep these in sync):
autogpt_platform/.envautogpt_platform/backend/.envautogpt_platform/frontend/.envNote: This env copying logic intentionally mirrors the
/worktreeskill's approach. If you update the path list or fallback logic here, update/worktreeas well.
SOURCE="$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 [ "$FOUND_ANY_ENV" -eq 0 ]; then
echo "WARNING: No environment files or templates were found in the source worktree."
# Use AskUserQuestion to confirm: "Continue setup without env files?"
# If the user declines, stop here and let them set up .env files first.
fi
Copy .branchlet.json from main to each worktree so branchlet can manage sub-worktrees:
if [ -f "$ROOT/.branchlet.json" ]; then
for wt in $WORKTREES; do
cp "$ROOT/.branchlet.json" "$PARENT/$wt/.branchlet.json"
done
fi
Install deps in all worktrees. Run these sequentially per worktree:
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.
After setup, verify and report to the user:
git worktree list
Summarize:
parent/
main/ # Primary checkout (already exists)
reviews/ # PR review worktree
branch1/ # Work branch 1
branch2/ # Work branch 2
...
branchN/ # Work branch N
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检查代码变更的测试情况及对现有功能的影响,按仓库模板创建PR,并继续处理评审请求、反馈意见和CI检查。
在独立工作目录中运行多个Claude Code,统一分配开发任务、监控进度、协助恢复停止的会话,并检查PR测试及评审反馈的处理情况。
利用Sentry测量数据比较变更前后或不同环境的速度与失败率,考虑统计波动,判定加速、减速、未检测到变化或数据不足,并输出比较结果。
收集PR审查意见,推进代码修改、提交、回复及讨论串解决,同时持续检查CI失败、合并冲突和新增评论,跟进直至审查事项处理完成。
反复审查和修复PR,检查未解决的讨论、评论回复、自动检查及合并冲突,并等待延迟到达的评论,将PR整理到可以合并的状态。
审查拉取请求的目的和代码差异,检查正确性、安全性、设计及测试,避免重复已有评论,并将标注严重程度的问题发布到对应代码行。