@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
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@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-presetAgent-preset surfaces: the default for later sessions, this session's seat, and the composition editor
@deepseek-ai/dsh-client-ui-agent-skySession-header phase sky: the agent's thinking, output, tool work, and completion render as celestial particle scenes; a sent hurrying message summons lightning
@deepseek-ai/dsh-client-ui-approvalApproval composer takeover over the scoped Remote Event waterfall
@deepseek-ai/dsh-client-ui-archive-managerArchive manager plugin: the settings section listing archived sessions grouped by workspace, each with an unarchive action
@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input, message-image, and trajectory image slots
@deepseek-ai/dsh-client-ui-backgroundStandalone conversation-background plugin for DeepSeek Harness: global wallpaper, readable wash, clear, via CSS overrides; source-only (depends on dsh workspace packages).
@deepseek-ai/dsh-client-ui-boardWork board web plugin: sidebar trigger, four-column kanban overlay, workspace filtering, and failure toasts over the board remote
@deepseek-ai/dsh-client-ui-boardMulti-layer project whiteboard view: a mind-map of boxes and connectors over layers, registered into the conversation view ring (no service). 发布为 DSH 客户端插件,可 GitHub / npm / tarball 分发。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:LaoQianwocao/dsh-client-ui-board@deepseek-ai/dsh-client-ui-brand-officialOfficial DeepSeek Harness brand occupants for the Web client's sidebar slots
@deepseek-ai/dsh-client-ui-cache-hitSidebar cache hit-rate widget: visualizes the current session's DeepSeek context-cache hit ratio (hit / billed prompt tokens) from the tokenUsage session projection — segmented hit/miss/write bar, rate-state coloring, and the latest-request rate
@deepseek-ai/dsh-client-ui-chatChat Conversation target, node definitions, renderers, and details surface
@deepseek-ai/dsh-client-ui-commandsClient command surface: global directory cache, '/' source, three command UI kinds, popupSelect registry
@deepseek-ai/dsh-client-ui-conversationTarget-neutral Conversation assembly, shell, composer, queue, and view navigation
@deepseek-ai/dsh-client-ui-deliverablesProduced-files turn tail and clickable final-response file references for Web
@deepseek-ai/dsh-client-ui-directory-picker-browseIn-app directory browsing surface: the workspace directory-flow owner rendering the host's listing and creation primitives
@deepseek-ai/dsh-client-ui-directory-picker-browseIn-app directory browsing surface: the workspace directory-flow owner rendering the host's listing and creation primitives
@deepseek-ai/dsh-client-ui-directory-picker-browseIn-app directory browsing surface: the workspace directory-flow owner rendering the host's listing and creation primitives
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Read the description, AI analysis and original README to understand what a plugin does.
Review compatibility, dependency ranges and instructions, then copy the available install command.
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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.