dsh-weneed
We Need 模式包装(DeepSeek Harness 插件):把「we need to ...」思维链引导规范(源自 scp3500/oh-we-need,MIT)做成 DSH 原生能力 —— weneed 工具(会话内一键注入)/ /weneed 命令 / WeNeed agent-preset(新会话常驻)
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We Need 模式包装(DeepSeek Harness 插件):把「we need to ...」思维链引导规范(源自 scp3500/oh-we-need,MIT)做成 DSH 原生能力 —— weneed 工具(会话内一键注入)/ /weneed 命令 / WeNeed agent-preset(新会话常驻)
Composer expand toggle for DeepSeek Harness: a ⬆/⬇ button in the composer tool row toggles the input between the default capped height and a tall 70vh writing view, so long drafts stay readable.
267 个即插即用的 AI 专家角色定义——从前端开发到区块链安全,从小红书运营到抖音策略(移植自 agency-agents-zh)
DeepSeek Harness (DSH) plugin: mount the nuphus-mcp desktop automation MCP server as native tools (mcp__nuphus-mcp__*).
任务完成时播放提示音并弹出小通知(页面内 toast + 后台时系统通知),按结果状态着色(完成/阻塞等待反馈/中断/失败),支持按操作系统选择音效预设、三状态独立音效,附带一句话小结(recap)与运行统计(时长/tokens/步骤)。纯浏览器方案,零系统依赖,跨 Windows/macOS/Linux。
ChatGPT-style text selection helper for DeepSeek Harness: select text in a conversation and a floating 「询问 DeepSeek」 button appears; click it to quote the selection into the composer.
DSH Web GUI paperclip button: a single 📎 button in the composer that opens a file picker and drops file content into the textarea.
AI-powered prompt optimizer for the DeepSeek Harness chat composer
Voice input for DeepSeek Harness: dictation chunked by pauses and voice messages, each with its own provider fallback chain (Deepgram, Groq, HuggingFace, local whisper.cpp, plus any OpenAI-compatible API of your own).
DSH web plugin: terminal-style input for the composer — bash-like Up/Down prompt history with prefix search and Ctrl+R, selection toolbar with copy and quote (Codex-style > blockquote), right-click paste, toggleable draggable chat TOC, fully internationalized (zh/en), with copy modes in Settings (history sourced from the session's own message log; zero config required).
Aggregate and selective DeepSeek Harness enhancements, including a standalone Windows launcher companion
Deterministic context-pruning compaction backend for dsh (DeepSeek Harness) — zero-LLM summaries, /dcp command, works out of the box. Design references Opencode-DCP/opencode-dynamic-context-pruning.
DSH diff tool: structured comparison of text/JSON/CSV/Markdown plus unified diff generation and in-memory patch validation. Zero-dependency, read-only.
DeepSeek Harness 插件:让 agent 默认用中文思考与回复(移植自 superpowers-zh)
Personal Harness workbench: hero banner, completed-turn confetti, and a built-in task board
Global proxy for DeepSeek Harness: route agent tools, model requests and web fetches through the Windows system proxy or a custom proxy with one persistent toggle, an editable settings card, agent-visible status and a bypass-aware prompt section
Voice input for DeepSeek Harness Web UI: a mic button in the composer tool row that uses the browser's Web Speech API (Chrome/Edge) to transcribe speech directly into the message draft. Zero dependencies, no API keys.
DSH web plugin: edit the last user message back into the composer after stopping a turn
为 DeepSeek Harness 极简模式增加自动上下文压缩、/compact、/context 和模型主动压缩,解决极简模式长任务无法持续工作的问题。
see_image tool for DSH: route image files to a configurable vision model (OpenAI-compatible API) and relay its description back to a text-only model
DSH 手机插件:局域网配对 + 设备管理 + 18640 接入代理 + 手机 API(纯后端,无页面布局注入)
Page capability kit for DeepSeek Harness (dsh): composer-docked file tree / source control / terminal panels for the current session workspace, plus free multi-source web search (merged from dsh-free-search)
Desktop notifications for DeepSeek Harness (dsh): run completion, model questions, and approval requests. Zero runtime dependencies — all peers provided by the dsh CLI.
Global model request headers plus image input, reasoning, and DeepSeek system-role compatibility for custom providers