DeepSeek Harness 插件

deep-design

Deep Design — design mode for DeepSeek Harness: the design-loop agent preset plus design-principles and design-qa skill packs(英文原文)

跳到安装方式

来源信息

GitHub 仓库
temidayoxyz/deep-design
最近更新
2026年8月15日
分类
自动化与任务
GitHub stars
0
载体类型
plugin
目录证据
上游声明已找到 dsh.bundle
证据路径
package.json#dsh.bundle
核对版本
0.1.0-rc.8
上游核对日期
2026-08-20

该证据由上游目录提供。本站没有安装、运行或安全审核这个插件。

安装

默认先复制一段 Prompt,让 Agent 读 GitHub 仓库和源码;需要自己装时再切到命令。

复制这段 Prompt,发给 DSH、Codex 或其他 Agent,让它先读 GitHub 仓库和源码。

请先不要安装或执行任何命令。阅读这个插件的 GitHub 仓库、README 和关键源码,然后用清楚、直接的方式回答以下问题,帮助我判断它是否适合我的需求:

1. 这个插件是什么,解决什么问题;
2. 适合哪些用户和典型使用场景;
3. 安装后如何使用,并给出一个最小使用示例;
4. 有哪些已知限制,以及隐私、安全、兼容性或维护风险;
5. 给出“推荐 / 有条件推荐 / 不推荐”的明确建议和理由。

请区分仓库明确说明、根据源码推断和未知信息。证据不足时请明确说明,不要猜测或照抄 README。

GitHub:https://github.com/temidayoxyz/deep-design
插件名:deep-design
作者:temidayoxyz

检查来源文件

安装前先看这个插件目录里的 README 和其他文件。

文件资源管理器3 个文件
README.md来源说明 · 只读预览

Deep Design

<img src="public/deep-design.png" alt="Deep Design — the render glass" width="1280" />

Design mode for DeepSeek Harness — a self-hosted alternative to Claude Design, Open Design, Google Stitch, and Figma Make, built on the DeepSeek Harness agent engine.

Deep Design turns your local harness into a design studio. It runs the same loop those products run — brief → direction → artifact → critique → deliver — with rendered visual QA at every pass, on your machine, with your own models and API keys.

What it installs

One plugin, three things:

1. Deep Design — an agent preset in your roster: a complete design agent (shell, files, web research, skills, plans, subagents, workflows) whose entire job is the design loop. 2. deep-design-principles — the design intelligence: first-principles brief, design language before implementation, composition, motion, anti-slop audits, a scoring rubric, and a final self-review. 3. deep-design-qa — the visual feedback loop: headless render at desktop and mobile → a critic pass (a subagent that diagnoses but never writes code) → targeted fixes → re-render → compare. With a pixel-sampling fallback for models without image input.

Both skills register globally, so any agent mode can load them from the skill catalog — not just Deep Design sessions.

Install

dsh plugin --profile web add dsh-deep-design    # from the npm registry once published, or
dsh plugin --profile web add ./deep-design      # from a checkout

Restart the Web UI, open the new-session screen, and choose Deep Design from the agent-preset chip. (The web profile is the one dsh web boots; use the same command with another profile name for other surfaces.)

The plugin installs the preset into $DSH_HOME/.agent-presets/design/, the standard user-preset directory every deployment scans. Installation is idempotent and never overwrites an existing directory — once you edit your copy, it is yours.

The loop

brief → direction (.design/direction.md) → design system → artifact
     → render (headless, desktop + mobile)
     → critic pass (structured visual diagnosis)
     → fix → re-render → compare → deliver

Design memory compounds across sessions: the loop reads .design/ in the workspace at session start and records lessons at session end. Designs get better with use, not just with better models.

Notes

  • Best with a vision-capable model for Deep Design sessions — the critic sees better with eyes. The pixel-sampling fallback keeps the loop honest without one.
  • Web research is enabled on the preset (fetch: true); configure the harness's web provider for reference grounding.
  • Deep Design runs entirely on your machine. Nothing leaves it unless you choose a cloud model.

License

MIT.