{
  "$schema": "https://deeplugin.store/data/launch-packet.schema.json",
  "version": 1,
  "plugin": {
    "id": "deeplugin-e413694ef21a213b8bdf",
    "name": "dsh-expert-mode",
    "author": "Asher-2000",
    "category": "tools",
    "version": null,
    "homepage": "https://github.com/Asher-2000/dsh-expert-mode",
    "firstObservedAt": "2026-08-16T00:51:32Z",
    "lastChangedAt": "2026-08-19T18:56:48Z"
  },
  "links": {
    "detail": "https://deeplugin.store/plugins/deeplugin-e413694ef21a213b8bdf.html",
    "feed": "https://deeplugin.store/plugins/deeplugin-e413694ef21a213b8bdf.atom.xml",
    "newFeed": "https://deeplugin.store/feeds/new.atom.xml",
    "updatedFeed": "https://deeplugin.store/feeds/updated.atom.xml"
  },
  "install": {
    "spec": "github:asher-2000/dsh-expert-mode",
    "command": "dsh plugin --profile web add github:asher-2000/dsh-expert-mode",
    "agentRequest": "请先在 deeplugin.store 中检索 Registry ID deeplugin-e413694ef21a213b8bdf，展示来源和精确安装 spec，为 web profile 生成安装计划；等我明确批准后再安装。"
  },
  "badge": {
    "markdown": "[![Listed on deeplugin.store](https://deeplugin.store/assets/deeplugin-listed.svg)](https://deeplugin.store/plugins/deeplugin-e413694ef21a213b8bdf.html)",
    "html": "<a href=\"https://deeplugin.store/plugins/deeplugin-e413694ef21a213b8bdf.html\"><img src=\"https://deeplugin.store/assets/deeplugin-listed.svg\" alt=\"Listed on deeplugin.store\"></a>"
  },
  "posts": {
    "zh": "dsh-expert-mode 已收录到 DeepSeek Harness Plugin Store。专家模式 agent preset（v0.6.0，双语双份）：首席协调官 + 11 位领域专家子代理，按任务特性自动委派。特性：五锚约束（每轮回顾/收敛/反跑题/协作检查/资源感知自检）+ 近距离引导（身份/任务/输出格式模板）+ 渐进式披露（token 减少 28%）+ 专家持久化 + 专家间通信协议 + 交叉评审 + 经验沉淀 + 快速通道 + 故障恢复。专家：数据分析/文案/法务/产品/前端/UI-UX/架构/社交运营/增长/量化/财务。\n\n查看来源与安装：https://deeplugin.store/plugins/deeplugin-e413694ef21a213b8bdf.html",
    "en": "dsh-expert-mode is now listed on the DeepSeek Harness Plugin Store. Expert-mode agent preset for DeepSeek Harness (v0.6.0, bilingual EN/ZH): a chief coordinator plus 11 domain-expert subagents with automatic task delegation. Features: Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (28% token savings), expert persistence, cross-expert communication protocol, cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance.\n\nSource and install details: https://deeplugin.store/plugins/deeplugin-e413694ef21a213b8bdf.html"
  }
}