Plugins

Publish size check skill: verifies a deliverable's geometric specs against a target platform before publishing - pixel dimensions, aspect ratio, dpi, file size, format, physical print width and colour mode. Geometry only: it does not review content compliance (QR codes, text-to-image ratio, copyright and prohibited content are out of scope). Pure Python standard library, no third-party packages, and inputs are never modified. Python 3.8+. Covers 10 platforms and 20 slots with per-platform confidence labels - WeChat MP, Xiaohongshu, Bilibili, Zhihu, Weibo, Douyin, WeChat Channels, journal submission, print and client delivery - and resolves a platform by id, Chinese name or alias with fuzzy matching. Two trigger modes: asked directly, or as a parasitic self-check that runs by itself once an image, poster, chart or export workflow has written a file and the user mentioned a publishing target, reporting in one line when everything passes and only expanding when something is wrong. For journal submission and print it judges by physical width (pixels / dpi), which catches files whose dpi metadata passes but whose actual printed size is too small; for multi-image posts it checks whether the whole set is consistent and names the odd one out rather than listing every file.

Engineering checklists distilled from Gillespie's Fundamentals of Vehicle Dynamics: 164 cards over the book's ten chapters, one skill entry with two-level routing. Each card gives the inputs a computation needs, the procedure, the boundary conditions where the method stops being valid, and a page reference — the explanation itself stays in the book. No passage of the book's prose is reproduced; 44 defects in the source (misprints, OCR damage, internal contradictions) are documented in the cards, each carrying a review-list ID. A study aid, not a substitute for the book.

Windows x64 translator with a dedicated sidebar entry and Workbench / Chat interface, side-by-side text and document translation, screen-region translation, recent history, and host model selection, voice input and preview. CUDA document OCR with CPU fallback; screen OCR uses CPU. Do not enable the CPU and CUDA packages at the same time.

Windows x64 translator with a dedicated sidebar entry and Workbench / Chat interface, side-by-side text and document translation, screen-region translation, recent history, and host model selection, voice input and preview. CPU OCR without NVIDIA dependencies. Do not enable the CPU and CUDA packages at the same time.

Registers one `valuation_service` tool that reads a workpaper tree of 01/02/04 JSON and returns one unified schema: six ratio groups, forecast ratios, DCF input slots with explicit missing markers, comparable PS/PE and IRR. Deterministic and local: missing WACC, growth, capex, D&A or working-capital inputs stay blank instead of being guessed, and assumption differences are flagged for review.

Bridges the Cua Driver MCP server into DSH: installs the cua-driver executable when it is missing, starts it over stdio through the in-box MCP client, and registers its 60 accessibility-first window, input, menu, and browser tools with a bundled workflow skill and one-time macOS permission guidance.

Windows-only desktop control for DSH with six tools that list windows, capture occluded windows, focus windows, click by coordinate, inject Unicode keyboard input, and diagnose the desktop bridge.

Turn English audiobooks (MP3) and documents into listening lessons: transcribe every sentence locally with the speech model DSH voice input already downloaded (about 241 MB, fetched on first use if missing; ffmpeg required), proofread and explain each sentence with your DSH model, then drill with blind listening, intensive listening and spaced repetition, with Chinese-dubbing export and offline Kokoro voices; ships a sidebar panel and four AI tools.

Declares image input on relay routes whose endpoint omits modality metadata, so models that can see photos stop being rejected as text-only. This also overrides routes that are explicitly declared text-only.

Free Egg credits panel for the DSH sidebar: WorkBuddy / Qoder account balances, daily budget, check-in state and per-turn spend (WorkBuddy credits priced per input / cache / output token type where rates are known), with one-click switching of the platform whose credits are spent first when new-api is configured. Requires a local WorkBuddy2API or Qoder gateway.

Live DeepSeek API balance and this session's token usage in the conversation header, with a detail panel for the topped-up / granted balance split, request count, input, output and cache-hit tokens, and context pressure. The API key is read on every query and is never cached, written to disk or returned to the browser.

Task details sidebar for DeepSeek Harness: a "View task details" button under every finished turn opens a resizable right-sidebar panel showing that task's input files, intermediate artifacts, output files, tools and skills used, inferred languages, a step-by-step flow timeline, and the model provider with token usage and cache hit rate.

Editable prompt shortcuts beside the DSH composer: save the prompts and phrases you retype as buttons, then send the preset text or insert it into the draft, and reorder, move, or resize them. Text-only: runs no host commands and never overwrites an existing draft; a button can also read the previous message, the draft, or the selection when clicked, and ask you to fill in {{name}} slots before it runs.

Interactive cards in replies, built from a fixed catalog of 31 components (sliders, inputs, sortable tables, charts, function plots, typeset formulas, tabs, checklists, flowcharts, quiz buttons, an animation player): controls recompute in the browser without another model call, and the model never writes HTML or JavaScript. Includes a calculus engine (integrals, derivatives, limits, sums, roots, Taylor polynomials) and a bundled skill that teaches the model when to use a card.

Windows floating status lamp outside the DSH window: a borderless always-on-top glowing orb on a fully transparent background — green with a breathing halo while tasks run, orange shaking for approval, blue floating for your input, dim grey idle, dark grey host offline; hovering lists each session's latest task, drag to move, and the lamp self-extinguishes within seconds when the plugin is switched off.

Grouped skill picker for the composer. A button beside the input box opens a panel that browses every installed skill by scene (research, office, data, writing, media, dev), with auto-classification for new skills, Chinese annotations, search and drill-down; picking one inserts the /skill-name gesture.

Model quick picker for DeepSeek Harness: a button left of the model dropdown opens a full model-selection dialog with provider grouping, live search, provider filter, capability tags read from the user's own input config, reasoning badges, recent-model shortcuts and a reasoning-effort picker; the choice writes back to the native dropdown immediately.

Adds a ✨ button and an /enhance command to the composer that rewrite the draft into a structured prompt, flag open questions below the input, follow the current session model, and offer an undo.

Freezes the DSH chat scroll position: new replies no longer drag the viewport to the bottom — it stays where you left it. Only after you send a message does it follow to the bottom so you can see your own input, then it locks again once the answer starts streaming. Each session remembers its own position (persisted across reloads), a settings toggle turns it off, and it never intercepts your own scrolling.

Adds a sparkle button to the DSH composer that rewrites the current draft into a clearer, more specific prompt with a single tool-free LLM call, then writes the result back into the input.

Agent2Agent (A2A) protocol bridge: serves an A2A endpoint with agent card, message/send, message/stream SSE, task lifecycle (get/cancel/resubscribe) and input-required continuation; a2a_discover/a2a_send/a2a_task_status/a2a_cancel tools for calling remote agents; plus a web ops panel with live task board, one-click cancel and a remote agent directory.

Records every session as one readable Markdown timeline inside the session workspace - the full request sent to the model (system prompt and plugin injections included), user input, replies, reasoning, tool calls and results, file reads and writes, web searches, skill loads, command runs and token usage - with a review page, a per-session tab and configurable capture scope.

Sidebar Git panel for the DSH web GUI: Local Changes and All Commits views, branch, tag and stash management with fetch, pull and push dialogs, merge with conflict handling, and a zsh-style branch marker in the input bar.

Generates release material from what a local repository can actually support: a hero image, a feature grid and bilingual copy rendered as SVG and HTML from `README.md`, `package.json` and optional screenshots. Facts are quoted from those files — name, version, license, summary, features, install snippet — and a field that is missing is left unrendered rather than filled with placeholder text. Every feature carries a source citation such as `README.md#L42`, and a claim the repository cannot substantiate is linted out before anything is written, with the reasoning left in `lint-report.json`. `manifest.json` records a sha256 for each input and output, and `--now` or `SOURCE_DATE_EPOCH` makes a run byte-identical. Also ships a GUI panel that regenerates from inside a session.