Plugins

Run JSON workflows with /workflow, inspect progress, select Agent models, resume saved sessions, and run bounded review and repair loops.

Zotero skill for DeepSeek Harness: page-anchored Q&A, full-text translation and close reading, native highlights and Chinese notes, bilingual PDF and paragraph Markdown, evidence comparison tables, and reviews with citation tracking; finds papers on OpenAlex or Crossref, imports Chinese CNKI export files, classifies the library into research-direction folders, surfaces research gaps, and runs a ranked daily digest of new papers. Python-based (basic library management uses the standard library; the reading workflow downloads its PDF/OCR components on first use); writes need a one-time Zotero authorization, and daily scheduling is Windows-only. Adapted from the OpenAI MIT Zotero plugin.

Run your RunningHub ComfyUI workflows from DSH to generate images, video and audio, with a workflow setup panel, background tasks and multi-key management.

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.

Make your dsh ready for serious coding. (Tools x Schemas)^REPL. `skill://`, `ctx://`, `agent://`, `dvc://`, `dsh://`, IPython REPL, Context as Variables, cross compactions recallable, full context revive. `hash-edit`, `dvc://browser`, subagent as function, workflow as function.

Registers six spec-driven + test-driven workflow skills for DeepSeek Harness: OpenSpec spec authoring fused with Superpowers TDD discipline into a Phase 0-4 pipeline with review gates. Zero runtime dependencies.

Make your dsh ready for serious coding. (Tools x Schemas)^REPL. `skill://`, `ctx://`, `agent://`, `dvc://`, `dsh://`, IPython REPL, Context as Variables, cross compactions recallable, full context revive. `hash-edit`, `dvc://browser`, subagent as function, workflow as function.

Feishu/Lark IM channel for DeepSeek Harness agents with native thinking-process messages, approval cards, live goal and todo cards, workflow fan-out lines, session text search, and background job and subagent settlement notices. Access is bounded by the Feishu app's own visibility scope by design — anyone the app admits can drive the agent and answer its approvals unless the optional sender, group and approver allowlists are filled in.

Search-first capability workflow for DSH agents (v1.0.0): reuse local tools or review exact-source plugins before installation, adapt or create capabilities in managed source work, and use receipts that distinguish installed, loaded, activated, and verified states; version tools cover rollback, adoption, and upstream updates.

DeepSeek Harness record macOS desktop workflows by demonstration and turn them into agent skills (open-record-replay skill + orr_* tools)

DeepSeek Harness tool plugin: run AgentFlow (material-canvas agent orchestrator) boards from the model

DSH plugin bundle: workflow skills, engineering presets, independent better-goal / better-subagent / better-compact / better-ask-user integration, and a minimal job exit guard. Pure ESM, no build step.

Moves an existing DeepSeek Harness conversation into another workspace from the sidebar menu: the transcript and title carry over, a new workspace folder can be registered in the same dialog, and the original session is archived and restorable.

Build your workflow on an infinite canvas — text, design, app, image and video cards wired together on DeepSeek Harness.

Executor/advisor workflow ported from pi-advisor-flow: the executor calls ask_advisor for a second opinion at key decisions, after repeated failures and before completion; equivalent repeated tool calls are intercepted before execution for an advisor review with a proceed/revise/blocked verdict, and hard mode force-reviews every turn before it closes. Per-call token and cost ledger with /advisor status readout, privacy tiers for repo context and file contents, six-shape secret redaction, and a web settings card; advisor failures never stall the main loop.

DeepSeek Harness 的软工作流插件：在画布上设计流程，编译成计划提示词，由模型按计划执行；运行状态由模型自己记，没有执行引擎

Watches agent execution traces and fires an LLM review at every successful turn end when signals trip, crystallizing reusable workflows into registered skills that improve progressively with later runs.

AI-driven presentation workflow packaged as a dsh skill: generates editable PPTX decks and SVG snapshots from PDF, DOCX, URLs or Markdown, fills native PPTX templates, and enhances finished presentations.

Full local-first issue board embedded in the DSH web GUI: Kanban / list / Gantt / workflow / dashboard views, AI chat per task, attachments and labels, auto-claim of todo tasks driven by dsh-routines — data lives in local SQLite (dsh plugin add @ttmouse/dsh-taskboard).

Four GitHub workflow skills for PR triage, review feedback, GitHub Actions diagnosis, and safe draft-PR publishing, reusing existing DSH capabilities with gh/git fallbacks.

GitHub Device Flow connect plus an in-conversation PR workflow: a status bar above the composer for create / AI-review / merge, and github_* tools for search, issue and PR read and write.

OMX-style workflow skills for DeepSeek Harness: deep-interview, ralplan, ralph, autopilot, team, code-review, visual-ralph, canslim-trader and 17 more, with autopilot defaulting to agent-team collaboration (Agent Teams), rewritten on native DSH tools including vision-backed UI matching.

11 shareable workflow skills (handoff, triage, to-spec, to-tickets, wayfinder, teach, wait-what, dsh-mode-routing, ask-matt, overnight-execution, full-throttle) as an installable skill pack.