Plugins

Turn a one-line requirement into verified delivery. TeamFlow runs a multi-stage pipeline — triage, PRD, design, technical plan, parallel development, QA with defect rework, acceptance — and gives the model 12 `teamflow_*` tools plus a workbench with a live pipeline graph and a backlog kanban. Each requirement gets its own folder holding the PRD, design, technical plan, QA report and acceptance record.

PPT workbench: eleven ppt_* tools create, edit, reverse-engineer, QA-check and export slides from a plain-text PPTD project; five design-system families, themes, animations, posters and infographics.

Presents DSH Web as a playable, full-screen first-person Minecraft-style voxel interface—not a color-only skin: users walk through a persistent Three.js block world and access native workspaces, sessions, conversations, tools, model selection, permissions, context information, and the composer through in-world facilities and a workbench.

Model selector for the DSH composer that keeps the native button and menu and takes over only when the small dropdown would open: search across providers, probe any model with a real streaming request to measure TTFT and TPS, and browse a leaderboard of up to 100 rows built from OpenRouter's catalogue, where clicking a row searches local channels of that name.

Pluggable design canvas inside DSH — standalone Excalidraw board, session image tools (edit, erase, background removal, OCR, vectorize, PSD/text rebuild), project asset library, and a Photoshop/Illustrator ⇄ canvas bridge.

Preset engineering workflows for DeepSeek Harness: a dev_task tool that gates stage transitions, artifacts, verification, review and commit scope, plus a web workbench for installing project or user skills and rules.

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models. Within a turn it supports skeletonized information compression with a low original-text retrieval rate; at the tail of a turn it supports a turn-tail intent summary implemented purely by content substitution; context content stays safe, and the whole process runs inside the official JSONL compression.

VS Code-style local workbench for DSH with a file explorer, Monaco editor, full-text search and a Git panel.

OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.

Wenyuan Pavilion: an AI Team workbench for DSH with owned tasks, independent acceptance, an append-only ledger and concurrent projects. Install it into its own profile (dsh plugin --profile ai-team add @suifei/dsh-ai-team), not web or desktop: its patch sets that profile's sandbox to danger-full-access and approvals to never, and the member agents run with full access. The project's PMO acts automatically by default (every 60 s it resolves pending decisions and wakes owners to dispatch the next tasks); turn off PMO auto to send decisions to your inbox.

Schedules a daily, weekly or monthly GitHub Trending digest, has a local trendradar core write Chinese summaries and period recaps, commits them to your own repo and opens the pull request, and shows an overview, digest, run history, subscription and settings workbench.

Research Agent skills, literature search with citation tracking, document-to-markdown knowledge base builder, and in-depth reading with browser workbench for DeepSeek Harness.

Preset workbench for editing per-agent personas, system prompt sections and tool descriptions, selecting tools and skills, previewing request context, and importing or exporting JSON/YAML configurations.

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.

Android real-device debugging workbench for the DSH Web GUI: auto-attached logcat with severity/keyword filters and crash snapshots, live on-device screen casting with remote tap/swipe/text control, memory/proc/frida reverse-engineering toolset, 30 agent tools.

DeepSeek Harness's own fast mode: the same model on the same reasoning effort, fewer output tokens, all prompt-side. Only the output-discipline switch is on by default (late mode, active from step 4); every other switch is off and can be enabled on its own; turn on the tool-output trim switch when tool output is long. Measured on one machine, not a leaderboard: 30 task pairs with long output at the trim switch 0.756x wall clock and 21% fewer output tokens; 24 pairs on 6 real pallets/click PRs 0.805x and 23% fewer. On official SWE-bench Lite instance definitions with a self-built harness it does not show a gain (8 instances, three independent runs pooled to 72 pairs: 0.933x wall, 0.903x tokens, wall still crosses 1; single runs of the same configuration differ by 30%), and stacking switches on top of the trim switch is worse than the trim switch alone. Numbers and repro in the repo.

Registers the justSkill design skill in DSH, adds a workbench that lists design files across workspaces, and opens a file's live canvas in the session's right sidebar. The agent edits a validated HTML file one operation at a time while the user reviews and adjusts on the canvas.

A right-sidebar workbench for legal practice backed by a folder of Markdown notes: SOP lookup, recordings with live transcription and line-level annotations, an inline glossary, and full-text search. Optional email rules library, Pkulaw points and usage badges. Notes, recordings and annotations stay on the local machine; live transcription needs your own Volcengine key and sends audio to Volcengine.

Talk to Excel in DeepSeek Harness: create, edit, repair, and verify spreadsheets by conversation, with automatic formula health checks after every edit.

Owner workbench for independently connected family WeChat assistants, per-member project and tool permissions, scheduled services and delivery status; API acceptance does not confirm receipt.

Media and vision workspace for DeepSeek Harness: image, video and speech generation, image Q&A and element locating, long-image OCR, pixel diff, HTML-screenshot verification and video summarization, with DashScope and OpenAI-compatible providers, model pools and a workbench client.

WeChat official account AI writing pipeline: six-step article runs (topic, outline, draft, gates, render, images) with a launch brief contract, a hot-topic board with per-item AI digests, RRULE scheduling to the draft box, a workbench UI plus chat tools and a /wewrite command, and fail-closed host approval before any draft-box push.

Curated research plugin market: adds a Research plugins page to Settings with hand-reviewed plugins for literature search, reference management, writing and workbenches — one-click install, update and remove pinned to the reviewed version, restart from the panel, and exactly one network request (its own catalog).

Reproducible science workbench: agent-driven cells, inline figures with feedback/rerun, manifest provenance, environment snapshots, and publication-grade figure skills (9 bio_* tools + workbench UI).