Plugins

Plain click on an Obsidian vault file in the DSH conversation opens it in the right app: notes in the Obsidian app, configured types (for example .tex) in VS Code with their project folder as the workspace; Cmd/Ctrl-click keeps the in-app preview. The open_vault_file tool follows the same routing, and every open is confined to the configured vaultRoot.

Agent tools that download a Bilibili video, transcribe it with a local whisper.cpp build, then write a structured Markdown note with DSH's own LLM (optionally printing it to PDF). Windows only: missing dependencies are auto-downloaded into the data directory — yt-dlp.exe and the ffmpeg.exe build from GitHub and gyan.dev, the whisper.cpp x64 binary from GitHub, and a ~547 MB model from the hf-mirror mirror; PDF export shells out to a locally installed Edge/Chrome. Two tools: video_to_notes and note_to_pdf. Pure JS, no extra API key.

In-place HTML document preview annotation: pick elements, leave notes saved per file, send batches to the conversation, and let the agent apply changes directly.

写 C++ 源码、配 CMake、用 Clang 构建；头文件用 /// Doxygen 文档注释，函数体用 // 分段说明，文件头标签可在设置里改。 · Write C++ sources, configure CMake, and build with Clang; /// Doxygen on declarations, // section notes in bodies, and configurable file-header tags.

Turns a YouTube link into study notes: pulls the captions the video already publishes, optionally reads on-screen content with a vision model, then asks for your own notes and merges everything into one document. Requires python3, ffmpeg and yt-dlp on PATH (the skill stops with an install hint when they are missing).

Local English-to-Chinese simultaneous interpretation: on-device Qwen3-ASR bilingual captions with automatic language detection, crash-safe meeting records with minutes, and Obsidian export.

Adds your own Recued server as an MCP server, so the agent can read your notes, tasks and the things you own and propose changes that wait for your approval in Recued.

Adds an optional note field under each selected option in the DSH Web UI ask_user_question popup; submitted notes travel to the model in the answer's custom field.

DSH 小夹子：把对话里值得留的话夹起来——一键收藏助手回复，随手翻、随手取、随手导出。

Read-only code-reading workspace with multi-repository projects, source-linked notes, code maps and Mermaid diagrams.

Archives DSH conversation output into SiYuan notes: a single siyuan_archive call files content under `<archive path>/<year-month>/<type>/<date>_<time>_<topic>_<content>` with a metadata table and auto-maintains an index document at the notebook root; 6 siyuan_* host tools (list notebooks, full-text search, read document, archive, delete block, remove document) and a Web settings page for base URL with connection test, API token in the host credential store, archive target and title template, plus notebook/document-level read/write/delete permissions with default deny and child levels able to only tighten.

Thinking-sorting plugin. A switch beside the composer puts the session into a three-stage mode — sort, critique, research — and each stage has a checklist of what it should produce before you press the advance button; finished ideas are filed by genre into Settings → Thoughts Center. A floating notebook holds half-formed sparks and opens a new session with the chosen one already written into the input box.

Highlight or quote any passage of an answer, attach a note to it, then send the excerpt back to the composer as a quoted instruction.

Native Anki workspace backed by one real headless Anki collection: browse, edit, add and review notes, suspend cards, import and export APKG, and sync with AnkiWeb, with the same collection exposed to the anki AI tool. No Anki desktop app, AnkiConnect or Qt is started. Supports Windows x64 and macOS 12 or later (Apple Silicon and Intel). The matching headless Anki core, CPython and all Python runtime dependencies are bundled, so no separate Anki or Python installation is required.

A work assistant for WeChat: it records what you tell it into a SQLite task ledger, ranks items by urgency, reminds you on schedule, extracts people and their relations from your notes, and hands tasks to separate assistant sessions. Ships its own WeChat bot channel (scan to log in; private chat only) and a full-page dashboard.

Review AI-generated Word, PowerPoint, PDF and HTML in the official preview: box problems, edit the text in place, and hand the notes to the agent. PDF and images are annotate-only; editing relies on the Harness bundled LibreOffice kit and Python.

Brain-shaped relationship graph viewer for DeepSeek Harness with a Markdown knowledge-base pipeline that imports documents and builds the graph. The viewer ships demo data and needs no Python; rebuilding the graph from your own notes needs Node.js 20+ and Python 3.8+ and runs from the command line.

A greeting card that speaks — 156 prebuilt voice clips with a one-click mute — plus per-turn completion reports, long-run companionship notes and a takeover approval panel in the DSH conversation area.

Multi-agent Chinese debate simulator with eight debaters, live two-column discussion and draft notes, judges and scoreboard, single-side clocks, per-round ZIP archives, a training side with a configurable end condition (win-rate threshold or fixed rounds), and a Word prep package.

Writes short plain-Chinese notes for installed dshmarket plugins that have none and shows them on the market cards; hand-written notes are left alone (only entries marked 🤖 may be regenerated with force=ai), and dshmarket is required.

Saves opt-in conversations as structured Markdown study notes with topic folders and a maintained index.

Meeting notes for dsh: one meeting per conversation, transcribed and speaker-separated on the machine itself, with points, assignments, handwritten notes, reviews and monthly scores in the same panel. Exports SRT/Markdown/Word and packs a meeting into a portable zip another dsh can import; confirmed assignments go to DingTalk/WeCom in one click, following your robot settings. Recognition models are swappable (a stronger local model can be imported from a file), and cloud recognition is off by default with no request made before consent. Word export needs Python and python-docx; the first run downloads a recognition model (28 or 77 MB).

Search public-domain libraries (Project Gutenberg, Wikisource, Internet Archive, Standard Ebooks) by title, author, character or half-remembered plot, or import EPUB / PDF / TXT / DOCX / Markdown, and listen in the sidebar with Microsoft Edge neural voices, offline Kokoro or the device voices; keeps your position, takes voice notes anchored to what you just heard, and discusses the book with your DSH model.