v0.6.8 · MIT
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
v2.6.0 · MIT
DSH Web内目前最无感的消息撤回、重编辑插件,原版体验,兼容性强,功能简单可开关,设置丰富,现代化轻量ui框架。The most seamless message recall & re-edit plugin for DSH Web — native experience, strong compatibility, simple toggles, rich settings, modern lightweight UI. DSH Web で最もシームレスなメッセージ撤回・再編集プラグイン——ネイティブ体験、高い互換性、シンプルなトグル、充実した設定、モダンで軽量な UI。
v0.1.0 · MIT
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
v0.6.0 · MIT
The design skill for Claude Code, Cursor and any coding agent. Stop shipping AI-slop UI: turn it into shippable, tasteful frontend. Install: npx skills add superdesigndev/superdesign-skill. Powered by superdesign.dev
v0.12.1 · MIT
DSH Web UI plugin: auto-sends 「继续」 after non-human interruptions, with error classification, adaptive backoff, pause, idempotency/loop guards, resume templates, and stats—all configurable in settings UI | DSH 前端 UI 插件:非人为中断后自动发送「继续」,支持错误分类、自适应退避、暂停、幂等/循环保护、续跑模板与统计,均可在设置界面配置
v0.3.11 · PolyForm-Noncommercial-Copyleft-1.0.0
DSH 原生 MUV 引擎 —— 正则脚本、状态栏级联(任意字段/行动选项)、变量追踪、LaTeX、宏展开、标签 CSS、visual 代码块渲染(信纸/终端/报纸/手机),内置 diag.mjs 诊断工具。需与伴生插件 dsh-muv-table 一起安装
v0.18.0 · SEE LICENSE IN LICENSE
Enterprise-grade, local-first Agent Workbench for people and agent teams. A unified multi-engine workspace for Codex Harness, DeepSeek Harness, and OpenCode, with unified plugins and Skills, multi-agent projects and tasks, and editable code, documents, presentations, design, and video.
— · MIT
Precision PPT design skill for OpenCode/Claude Code/Codex, with 40,000+ styles, pixel-perfect Build Mode control, AI image generation, and fully editable PPTX. 面向专业演示设计场景,帮助用户从需求分析、视觉方向选择到原生可编辑 PPTX 交付,打造高质量、可持续修改的演示文稿。
v0.1.0 · MIT
Open-source macOS record-and-replay workflow recorder for computer use agents. Captures mouse, keyboard, and UI events as structured traces so agents can learn, replay, and automate real desktop tasks.