Plugins

Cuigengji, your fiction-writing assistant and editor: organize settings, develop plots, draft chapters, and revise prose with AI. Share plot canvases, character cards, and worldbooks while you choose the direction, style, and what stays in the story.

Fanqie reader for the DeepSeek Harness sidebar: search book and media metadata, browse covers and chapter lists, read website-visible chapters, and view your bookshelf and saved highlights after QR sign-in.

Novel-writing guardrails: 20 novel_* tools enforce fact-ledger consistency, phase and chapter gates, machine audit with deterministic metrics, and proposal-only revisions; a right-panel workbench covers reading, TTS playback, polish, proofread, continuity checks and batch drafting, and a bypass engine runs internal steps off the main conversation.

Turns an organised memory archive into a browsable star map — one star per memory, the diary as an outer timeline, plus a chapter view, a day view, and a picking task that files each day's raw conversation into the archive.

A novel-writing workbench for DeepSeek Harness: you tap thumbs-up or thumbs-down on candidate passages, and the model distils them into a short preference profile that carries into later drafting calls while the manuscript stays out of the drafting context. Adds a chapter board, per-chapter writing packs, annotation-scoped revision that rewrites only the annotated paragraph and verifies the rest byte-for-byte, a project ledger, and local pacing checks.

Patent-writing gatekeeper for dsh - screens the idea against Chinese prior art first, then runs five-party alignment interviews, eight-chapter disclosure drafting, figures and simulation runs, seven-dimension review and docx/PDF export. Skills work out of the box; the search, export and experiment tools come from a bundled Python MCP service that ships disabled - one line in ~/.dsh/patent-services.yaml enables it, and uvx fetches the wheel from PyPI.

Local-first fiction workspace that links outlines, chapters, characters, timelines, writing rules, and continuity checks to the conversation.

A long-form Chinese novel workbench inside DeepSeek Harness: read, edit and annotate the manuscript in place; AI reports problems with ready-to-adopt revision drafts, and the text changes only when you accept. A ledger for characters, facts and foreshadowing plus a world map keep a long novel consistent, and AI can continue, expand or rewrite chapters.

Deep-reading workflow for books: import EPUB/Markdown/TXT/PDF into chapters, read one chapter per subagent so the source text never enters the main session, keep \[n]-anchored chapter memories for cross-session continuation, and export notes or an EPUB.

Novel generator: builds a world snapshot along a story timeline and, from the latest snapshot and the most recent chapters, deduces the next chapter. Requires DSH >=0.2.1-rc.2.

Novel-writing console for DSH: five novel_* tools for the agent (list, read, context, save chapter, cast) plus a side panel with a book wizard, a cast/relation view and streaming chapter continuation.

Host-side Typert remote for dsh-tool-writing: serves project volumes, chapter status, corpus library, full-text search, evolution entries, and thread-graph data to the client writing panel.

Chinese industry and technology research report skill with an offline DOCX build pipeline (build_docx.py). Enforces a 9-chapter structure with a plain-language timeline (Section 2.1), 5-dimensional technical bottleneck criteria, and Make-vs-Buy cost/compensation trade-offs, verified by check_threads.py and compiled to .docx with a 3-level auto TOC. Requires Python 3.9+ with lxml.

Local-first achievement collection for DeepSeek Harness. Normal use earns 67 stamped badges across 7 series, completes 9 voyage chapters holding 36 ocean collectibles, unlocks a configurable ASCII aquarium and exports a five-badge voyage card as PNG or offline HTML. No check-ins, no model calls, no chat uploads.

A full-screen novel-writing workbench: chapter board, draft candidates reviewed and merged paragraph by paragraph, plot summaries carrying an index header, and a writing pack assembled from the outline, character cards and earlier chapters. It also reads a shelf of finished books you import, extracts their writing habits in one run, merges them into a single style standard, and puts that standard in the prompt for every later generation.

Event-based memory for long-lived chat bots: emotion-weighted decay, three confidence levels on recall, superseding outdated facts, per-subject isolation, plus relationship, fact, chapter, skill and gap tables. Ships a CLI, an HTTP endpoint and a DSH plugin bundle.

Samples a video the way a person does instead of downloading it: metadata and chapters first, then timestamped frames as images, subtitle-first transcripts (local ASR only when the platform carries no subtitles), AudioSet 527-class sound tags and top comments — 21 tools sharing one on-disk cache behind a cross-process lock. Needs Python 3.10+, ffmpeg and the vidlens package (pip install vidlens-mcp); a missing install comes back with the two ways to fix it instead of a bare ImportError.

Turns course files (PPTX, PDF, DOCX, Markdown) into an outline, per-chapter key points with quoted evidence, Bilibili video picks, syllabus coverage, and Anki/JSON exports.

Provides three learning skills for course notes, conceptual explanations, and self-contained lecture chapters, with bundled references and course helper scripts.

Generate and format Chinese Word (.docx) documents from a simple markup file, using built-in heading styles, SimSun and Times New Roman fonts, and per-chapter figure and table captions.

Breaks a STEM textbook into a four-level card map (book, chapter, section, knowledge point) in a sidebar panel, where each point names the defect of the previous approach it fixes and each chapter keeps its remaining gap as the motive for the next; marks key points with a star, shows theorems as cards with statement, conditions and symbol table, folds step-by-step derivations, and exports the same map as a self-contained offline HTML file, Word or PDF. Ships a textbook-parser skill and a textbook_archive tool (save_book / save_chapter / list_books / get_book / delete_book) plus a bundled 12-chapter Signals and Systems sample with 116 sections, 263 points and 601 worked examples. No runtime dependencies and no network access.

Reads EPUB, MOBI, AZW3, TXT and PDF books in a side panel with pagination, table-of-contents jumping, highlights, notes, bookmarks, full-text search, anchored AI questions, per-chapter distillation, Legado-compatible book-source search that adds online books chapter by chapter, and a bundled reading-coach skill. PDF support is text-based only; scanned or encrypted PDFs are rejected.

Local TXT novel reader in the DSH right sidebar: bookshelf with file, directory and path import, chapter table of contents with jump, click-to-turn or vertical-scroll paging, reading progress restored across restarts, and font, line-spacing, background and night themes.

Turns course, lecture, tutorial, meeting, and talk videos into structured study notes: it extracts the audio track with ffmpeg, transcribes it with Whisper, then writes notes with a chapter outline, emphasis markers, and a quick-reference card.