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worktree

Set up a new git worktree for parallel development. Creates the worktree, copies .env files, installs dependencies, and generates Prisma client. TRIGGER when user asks to set up a worktree, work on a branch in isolation, or needs a separate environment for a branch or PR.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=significant-gravitas-autogpt-claude-skills-worktree-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name worktree description Set up a new git worktree for parallel development. Creates the worktree, copies .env files, installs dependencies, and generates Prisma client. TRIGGER when user asks to set up a worktree, work on a branch in isolation, or needs a separate environment for a branch or PR. user-invocable true args [name] — optional worktree name (e.g., 'AutoGPT7'). If omitted, uses next available AutoGPT<N>. metadata {"author":"autogpt-team","version":"3.0.0"} Worktree Setup Create the worktree Derive paths from the git toplevel. If a name is provided as argument, use it. Otherwise, check git worktree list and pick the next AutoGPT<N> . ROOT=$(git rev-parse --show-toplevel) PARENT=$( dirname " $ROOT " ) # From an existing branch git worktree add " $PARENT /<NAME>" <branch-name> # From a new branch off dev git worktree add -b <new-branch> " $PARENT /<NAME>" dev Copy environment files Copy .env from the root worktree. Falls back to .env.default if .env doesn't exist. ROOT=$(git rev-parse --show-toplevel) TARGET= " $(dirname " $ROOT " ) /<NAME>" for envpath in autogpt_platform/backend autogpt_platform/frontend autogpt_platform; do if [ -f " $ROOT / $envpath /.env" ]; then cp " $ROOT / $envpath /.env" " $TARGET / $envpath /.env" elif [ -f " $ROOT / $envpath /.env.default" ]; then cp " $ROOT / $envpath /.env.default" " $TARGET / $envpath /.env" fi done Install dependencies TARGET= " $(dirname " $(git rev-parse --show-toplevel) " ) /<NAME>" 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 Replace <NAME> with the actual worktree name (e.g., AutoGPT7 ). Running the app (optional) Backend uses ports: 8001, 8002, 8003, 8005, 8006, 8007, 8008. Free them first if needed: TARGET= " $(dirname " $(git rev-parse --show-toplevel) " ) /<NAME>" for port in 8001 8002 8003 8005 8006 8007 8008; do lsof -ti : $port | xargs kill -9 2>/dev/null || true done cd " $TARGET /autogpt_platform/backend" && poetry run app CoPilot testing SDK mode spawns a Claude subprocess — won't work inside Claude Code. Set CHAT_USE_CLAUDE_AGENT_SDK=false in backend/.env to use baseline mode. Cleanup # Replace <NAME> with the actual worktree name (e.g., AutoGPT7) git worktree remove " $(dirname " $(git rev-parse --show-toplevel) " ) /<NAME>" Alternative: Branchlet (optional) If branchlet is installed: branchlet create -n <name> -s <source-branch> -b <new-branch>
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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