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claude-vision-setup

Interactive setup wizard for claude-vision - configures Docker images and platform settings

DeepseekModel 官方收录技能 质量 良好 · 48 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=ellyseum-claude-vision-skills-claude-vision-setup-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 claude-vision-setup description Interactive setup wizard for claude-vision - configures Docker images and platform settings Instructions When invoked with /claude-vision-setup : Step 1: Read Environment Detection The environment has already been detected by a hook. Check the system-reminder for "Environment detection results:" which contains key=value pairs: OS_TYPE - wsl, macos, or linux DOCKER_OK - true/false GPU_OK - true/false GPU_NAME - GPU model name (if detected) NVIDIA_TOOLKIT - true/false CONFIG_EXISTS - true/false IMAGE_VARIANT - lite/full (if config exists) SCREENSHOT_DIR - path (if config exists) Present a summary to the user: OS: [detected] Docker: Available/Not available GPU: [name] with NVIDIA Container Toolkit / Not detected If CONFIG_EXISTS=true, also show current settings. Step 2: Existing Config Flow If CONFIG_EXISTS=true, use AskUserQuestion: Question: "What would you like to do?" Options: Keep current settings - Verify everything works Reconfigure - Start fresh with new settings Switch image variant - Change between lite/full Update screenshot directory - Change where screenshots are found If they choose "Keep current settings", skip to Step 6 (Verify Setup). Step 3: Image Choice (new config or reconfigure) Use AskUserQuestion: Question: "Which Docker image do you want?" Options: Lite (Recommended) ~500 MB, includes ffmpeg + yt-dlp For YouTube videos, screen recordings Full (with Whisper) ~4 GB, includes ffmpeg + yt-dlp + whisper For local videos needing speech transcription GPU speeds up transcription (detected: [GPU_OK]) Step 4: Screenshot Directory Based on OS_TYPE, suggest default: wsl: /mnt/c/Users/<username>/Pictures/Screenshots macos: ~/Pictures/Screenshots linux: ~/Pictures/Screenshots Use AskUserQuestion with suggested default + "Custom path" option. Step 5: Save Configuration mkdir -p " $HOME /.claude/claude-vision" cat > " $HOME /.claude/claude-vision/config.json" << EOF { "mode": "docker", "os": "$OS_TYPE", "image_variant": "$IMAGE_VARIANT", "screenshot_dir": "$SCREENSHOT_DIR", "created": "$(date -Iseconds)", "version": "1.0" } EOF Step 6: Verify Setup cv-run --status If cv-run fails, check if Docker image exists and offer to pull/build. Step 7: Show Summary === claude-vision Setup Complete === Configuration: OS: $OS_TYPE Image: $IMAGE_VARIANT Screenshot dir: $SCREENSHOT_DIR GPU: $GPU_STATUS Available commands: /clipboard - Read from clipboard (text or image) /screenshot - Analyze latest screenshot /video - Analyze videos (YouTube or local) Notes Config: ~/.claude/claude-vision/config.json Video cache: ~/.claude/claude-vision/video-cache/ Use cv-run --status to check container status Use cv-run --stop to stop container when not in use
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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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