@deepseek-ai/dsh-client-hmrDev-only hot-reload driver for script-loaded client entries: SSE rebuilt frames → invalidate/prefetch → fiber swap through the vendored Loader entry
最高の DSH プラグインを見つけよう
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DeepSeek Harness のコミュニティプラグインを検索。用途、インストール方法、互換性を比較し、AI ワークフローに合う拡張機能を見つけましょう。
@deepseek-ai/dsh-client-hmrDev-only hot-reload driver for script-loaded client entries: SSE rebuilt frames → invalidate/prefetch → fiber swap through the vendored Loader entry
@deepseek-ai/dsh-client-localeLocale plugin: Host-backed preference, extensible language catalog, browser fallback, and typed built-in dictionaries
@deepseek-ai/dsh-client-modulesClient module system, dual-face: node half composes the __DSH_BOOT__ entry graph (incremental dsh.client scan, bundle route, index tap, webPlugins service); browser half is the lazy-CJS module table the vendored cordis Loader consumes as its internal seam
@deepseek-ai/dsh-client-schema-formSchema/draft model layer for settings editors: rehydrates a serialized schemastery schema, validates drafts, and edits them immutably by path
@deepseek-ai/dsh-client-storeReact-free observable and snapshot-store contracts with the shared Zustand/Immer engine
@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-approvalApproval composer takeover over the scoped Remote Event waterfall
@deepseek-ai/dsh-client-ui-attachmentDynamic attachment presentation plugin for conversation input, message-image, and trajectory image slots
@deepseek-ai/dsh-client-ui-brand-officialOfficial DeepSeek Harness brand occupants for the Web client's sidebar slots
@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-nativeNative directory-picker surface: the renderless workspace directory-flow occupant driving the host's OS chooser
@deepseek-ai/dsh-client-ui-goalSession goal surface: GoalBar docked above the composer, read from the goal session projection
@deepseek-ai/dsh-client-ui-input-triggerInput trigger pipeline: '/' and '@' detection, candidate menu, pick routing to registered sources
@deepseek-ai/dsh-client-ui-jobsSession-header background-job list: live registry state mirrored from session/jobs frames
@deepseek-ai/dsh-client-ui-layoutShell plugin: three-column AppFrame with drag handles, ctx.layout viewing-state service (navigation + panels)
@deepseek-ai/dsh-client-ui-message-feedbackPer-message feedback controls contributed to the assistant-message action strip, backed by the messageFeedback Host Remote
@deepseek-ai/dsh-client-ui-model-selectionModel selection over the shared model catalog, Session projection, and session.selectModel
@deepseek-ai/dsh-client-ui-notificationsSystem notifications: OS notification bar alerts for approval waits and task completion, with a settings section
@deepseek-ai/dsh-client-ui-permission-presetsPermission surfaces: a new-session default in General settings and a current-session /permission popup over the permissions projection
@deepseek-ai/dsh-client-ui-planPlan-mode composer control: the conversation.input.plan seat over the plan projection and the /plan command channel
機能のキーワードやカテゴリで絞り込み、更新日や GitHub Star で並べ替えます。
紹介、AI 分析、元の README を読み、プラグインの機能を確認します。
互換性、依存関係、手順を確認し、利用可能なインストールコマンドをコピーします。
DeepSeek Harness のコミュニティプラグイン集です。紹介、ソースへのリンク、インストール手順をまとめ、拡張機能の検索と比較を支援します。
いいえ。詳細ページは記録された互換性と依存関係を表示します。不明は互換性ありを意味しません。導入前にプロジェクトの文書を確認してください。
詳細ページのインストール欄を開き、コマンドがあれば Harness 環境で実行します。ない場合はプロジェクトの README に従ってください。