Skills Plugins MCP Prompt Model 博客 我的中心

sv

This skill should be used when the user invokes `/sv` or asks to "hand this off to sandvault", "continue in the sandbox", "sandvault this task", or to clone the current repo into a sandboxed Claude session with per-repo deploy-key access. Writes a task briefing to the sandvault shared workspace and launches `sv-clone` in a new terminal window, pointing the sandboxed Claude at the briefing as its first prompt.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=webcoyote-sandvault-skills-sandvault-sv-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 sv description This skill should be used when the user invokes `/sv` or asks to "hand this off to sandvault", "continue in the sandbox", "sandvault this task", or to clone the current repo into a sandboxed Claude session with per-repo deploy-key access. Writes a task briefing to the sandvault shared workspace and launches `sv-clone` in a new terminal window, pointing the sandboxed Claude at the briefing as its first prompt. Sandvault Handoff Hand off the current task to a sandboxed Claude running inside sandvault. When to use The user invokes /sv when they want Claude to continue the current work inside a sandvault sandbox. Steps 1. Summarize the task Write a clear, actionable summary of what the user wants done. Include: What the goal is What approach to take (if already discussed) What files are involved Any decisions already made in this conversation The current branch name and any relevant context 2. Write the handoff file Write the task briefing to /Users/Shared/sv-$USER/tmp/handoff-<repo>.md , where $USER is the host user and <repo> is the source repo's basename (e.g. /Users/Shared/sv-jesse/handoff-sandvault.md ). This is the sandvault shared workspace — readable from inside the sandbox via the mounted /Users/Shared tree, so the sandboxed Claude can read it at startup. The briefing is not copied into the clone; it lives in the shared workspace and the sandboxed Claude is pointed at it by path (see step 4). Nothing is written into the source repo itself. The handoff file should include: A "# Task Handoff" heading Task context, approach, decisions, branch, relevant files A "## Setup" section: note that gitignored build artifacts ( .venv/ , node_modules/ , build dirs) won't be in the clone. Check for requirements.txt , pyproject.toml , package.json etc. and instruct the sandboxed Claude to set up the environment first. A "## What to do" section with a direct instruction 3. Ask the user for confirmation Show the user: The repo that will be cloned A brief summary of the task being handed off 4. Launch in a new terminal window Use the bundled helper to launch sv-clone in a new window of whatever terminal the user is running (Terminal.app, iTerm2, Ghostty, WezTerm, kitty, Alacritty, cmux, Warp, with Terminal.app as a fallback): skills/sandvault/sv/scripts/launch-in-terminal.sh 'sv-clone <repo-path> -- claude -- "Read /Users/Shared/sv-<host-user>/tmp/handoff-<repo>.md and continue the task described there."' The helper detects the parent terminal app via skills/sandvault/sv/scripts/find-terminal-app.sh (which walks the process tree to find the first ancestor in /Applications ) and dispatches to the appropriate launch mechanism for that terminal. To override detection, set SV_TERMINAL (e.g. SV_TERMINAL=ghostty , accepts either a short alias or a .app bundle name). Substitute <repo-path> (the source repo's absolute path), <host-user> (the host user's login — same $USER used when writing the handoff file), and <repo> (the source repo's basename) literally into the command string. The launch command runs sv-clone , passing the handoff path to the sandboxed Claude as its initial prompt via the -- separator pass-through ( sv-clone → sv → sandbox zshrc → claude ). If sv-clone is not on PATH, the installed sandvault is out of date — tell the user to upgrade (e.g. brew upgrade sandvault ) and retry. The old sv --clone flag has been removed in favor of the standalone sv-clone script.
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

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

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。