dsh-deep-design
Deep Design — design mode for DeepSeek Harness: the design-loop agent preset plus design-principles and design-qa skill packs
安装
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:temidayoxyz/deep-design说明文档
阅读完整 README ↗Deep Design
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:
- 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.
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.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 (); configure the harness's web provider for reference grounding.