dsh-h3-seg-prompt-design
一个DeepSeekHarness插件,用于让模型在DeepSeekHarness中生成符合H3视频生成模型规范的提示词。该提示词可以直接用于Theodore_Director导播台的分镜设计中。
- Stars
- 0
- Language
- Python
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026
Introduction
dsh-h3-seg-prompt-design
An installable DeepSeek Harness plugin bundle that registers the h3-seg-prompt-design skill. The skill turns a long-form H3 video idea into a locally organized, repeatable package of H3-compliant per-segment prompts.
H3 generates at most 15 seconds per call, so a long video is produced by looping many generation segments. This skill manages the whole loop: brainstorming, locking reference assets, designing 5–15 second segments, and writing the prompts for each segment.
What it does
- Inspiration — when you have no concrete concept, propose several distinct, segment-friendly directions.
- Project folder — once a theme exists, create a folder named after the video theme inside the workspace.
- Asset mapping — confirm your reference images / videos / audio, assign unique aliases, and write
素材映射.md(paths may stay empty so prompts can be planned before assets exist; a reference video's picture and its companion audio are two independent assets). - Storyboard — expand the idea into 5–15 second segments, estimate each duration, mark spans that continue across segments with
(接续分镜NN), and write分镜设计.md. Enforces H3's per-generation caps: ≤9 images, ≤3 videos, ≤3 audio tracks. - Prompts — write
H3分镜提示词.mdfollowing the official H3 guide, except reference assets are cited as{{ref:别名}}(companion audio as{{ref:别名.audio}}) instead of the official<Picture N>/<Video N>/<Audio N>numbering.
Install
The bundle is a plain package with a dsh.bundle.patch declaration and no build step. Install it into a profile with dsh plugin (which forwards to pnpm):
# From a local checkout (the plugin folder itself):
dsh plugin --profile web add .
# Or from a published git repo:
dsh plugin --profile web add github:<owner>/dsh-h3-seg-prompt-design
Git-hosted plugins that ship a
preparebuild need pnpm'sallowBuildsallowance; this bundle ships committed plain-JS, so no build allowance is required.
After the profile starts, the skill appears in the model's skill catalog. Use it by asking for segmented H3 prompts, or invoke it directly with /h3-seg-prompt-design.
Layout
dsh-h3-seg-prompt-design/
├─ package.json # dsh.bundle.patch → ./cordis.patch.yml
├─ cordis.patch.yml # mounts the provider plugin
├─ index.js # Cordis plugin: registers the skill on ctx.skills
└─ skill/ # the bundled skill (resourceBase)
├─ SKILL.md # workflow + invariants
├─ references/ # workflow rules + the two official H3 guides
├─ assets/ # 素材映射 / 分镜设计 / H3分镜提示词 templates
└─ scripts/
└─ validate_project.py
Notes
- The skill name is
h3-seg-prompt-design; the npm package isdsh-h3-seg-prompt-design. index.jshas no runtime dependencies —skillsresolves as a Cordis service, so the package needs nothing beyond the dsh installation.- Keep the provider
DESCRIPTIONinindex.jsin sync with the skill summary you want shown in the catalog. - Replace
MITwith your preferred license before publishing; noLICENSEfile ships here.