DeepSeek Harness plugin

deep-design

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

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Source facts

Repository
temidayoxyz/deep-design
Latest update
Aug 15, 2026
Category
Workflow & Automation
GitHub stars
0
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/temidayoxyz/deep-design
Plugin: deep-design
Author: temidayoxyz

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

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.