dsh-promotion-toolkit

中文 README · Live showcase · Live demo set

Turn any idea into platform-native publicity.

What it does

DSH Promotion Toolkit is a DeepSeek Harness-native plugin for turning a product, open-source project, article, course, event, personal point of view, or rough idea into platform-native publicity.

It extracts the thesis, quotable evidence, risk flags, and canonical URL first. Then it changes the reading path for every platform instead of shrinking one paragraph seventeen times.

Any idea / source / README
            |
            v
Thesis + evidence + claim boundaries + canonical URL
            |
            v
17 native long-form drafts, posts, video scripts, and CTAs

Platform-native by design

Supported surfaces: xiaohongshu, zhihu, wechat, wechat_moments, weibo, bilibili, douyin, kuaishou, x, threads, linkedin, reddit, tiktok, youtube, medium, facebook, and instagram.

Real DeepSeek demo

The checked-in fixture was generated end to end with deepseek-v4-pro: four long-form sources, Chinese and English output, and 17 platform drafts per language. One source is this repository, so the examples are ready to publish.

English LinkedIn

One source should not become the same paragraph everywhere.

DSH Promotion Toolkit turns a product story, open-source project, article, course, event, or personal idea into platform-native publicity. It extracts the thesis, evidence, risk flags, and canonical URL first, then changes the reading path for each surface.

Source and live examples: https://github.com/lhmd/dsh-promotion-toolkit

English X

Tired of rewriting one idea for every platform?

DSH Promotion Toolkit extracts the claims and evidence first, then generates native drafts for X, LinkedIn, Reddit, Zhihu, Xiaohongshu, video platforms, and more. Same source. Different entry points. Canonical links stay attached.

Repo: https://github.com/lhmd/dsh-promotion-toolkit

See the full JSON fixture, readable code-block excerpts, or the bilingual showcase.

Install into DeepSeek Harness

This repository follows the DSH profile-bundle shape. cordis.patch.yml mounts the package; src/index.js exports apply(ctx) and registers the viral_kit tool; src/skill.js provides the runtime Skill; and skills/viral-kit/SKILL.md is the readable mirror.

npm install -g @deepseek-ai/dsh
dsh plugin --profile web add /absolute/path/to/dsh-promotion-toolkit
dsh web

For local development:

npm test
npm run check:release
npm run demo

CLI

node scripts/viral-kit.mjs \
  --text "Paste your product brief, article, course, event, or idea" \
  --language auto \
  --platform linkedin \
  --source-url https://github.com/lhmd/dsh-promotion-toolkit \
  --json

Language routing is platform-aware: Chinese surfaces default to Chinese; global surfaces default to English. An explicit --language zh|en|auto always wins. Pass --source-url when the source has a repository, product page, article, signup page, or other canonical link. The plugin places that URL in the platform-native CTA and never invents one.

Output contract

Every call returns structured JSON with the thesis, evidence, shareability signals, title angles, platform drafts, image prompt, hashtags, and risk flags:

{
  "coreIdea": "A source-grounded thesis",
  "evidence": ["Evidence to preserve"],
  "shareability": {"score": 0, "signals": []},
  "titles": ["Angle one", "Angle two", "Angle three"],
  "platformDrafts": {
    "xiaohongshu": "Saveable note",
    "zhihu": "Markdown explainer",
    "wechat_moments": "Short personal share"
  },
  "riskFlags": ["Verify before publishing"]
}

The model can polish language but must not add unsupported users, customers, metrics, dates, prices, outcomes, or links. Verify attribution, numbers, dates, and absolute claims before publishing.

Live showcase

Open the bilingual showcase to switch between four DeepSeek examples, Chinese / English, and 17 platform tabs. The source is docs/.

License

MIT