dsh-h3-seg-prompt-design

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

1. Inspiration — when you have no concrete concept, propose several distinct, segment-friendly directions.
2. Project folder — once a theme exists, create a folder named after the video theme inside the workspace.
3. 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).
4. 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.
5. Prompts — write H3分镜提示词.md following 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 prepare build need pnpm's allowBuilds allowance; 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 is dsh-h3-seg-prompt-design.
• index.js has no runtime dependencies — skills resolves as a Cordis service, so the package needs nothing beyond the dsh installation.
• Keep the provider DESCRIPTION in index.js in sync with the skill summary you want shown in the catalog.
• Replace MIT with your preferred license before publishing; no LICENSE file ships here.