Плагины

ServerChan3 (Server酱) push notifications when a turn finishes — title, model, project directory, git branch, status and a reply excerpt, with subagent filtering and fire-and-forget delivery.

Plays a chime when the AI asks a clarifying question (a `?` / `？` in the message, or an `ask_user_question` tool call). Synthesized via Web Audio API, no audio file, works on every OS.

Reminder bubbles beside the input for DeepSeek Harness: any plugin or AI can push reminders (text/link) with chat-style stacking, drag-resize, AI summary, visual customization and random outfit presets. A static profile plugin available in every preset without disappearing on restart.

Task-complete and question notification sounds for the DeepSeek Harness Web UI: a soft chime when the agent finishes a turn, a ding-dong when it asks you something (questions, plan reviews, approvals). Synthesized Web Audio, zero assets, mute toggle and volume slider in the session header and settings.

DSH Source Control tab in dsh-better-sidebar that mirrors VS Code Git workflows.

Git status badges for DSH: sidebar workspace-row badges and an input-row chip showing the current conversation's workspace git state, with event-driven freshness over SSE.

Git Changes tab for the DSH web GUI: staging, diffing, AI-drafted commit messages, branch/merge/stash/worktree operations and sync, with live updates via fs.watch plus a changeToken poll.

Maintains reusable named subagent profiles for DeepSeek Harness and runs them with per-profile model, reasoning effort, and agent-preset settings.

Task Runner mode for DeepSeek Harness: the main agent decomposes large tasks into independent subtasks, dispatches them to subagents (default local model) in fresh short contexts, and synthesizes results; concurrency and worker/orchestrator models are configurable in the settings panel.

Jimu (积木): domain-based orchestration plugin for DeepSeek Harness — domain_plan confirmation, per-domain sub-agents with hand-off, and automatic LLM audit.

✨ One-click prompt polisher for the DSH composer — an agent refines your rough draft in a side chat over multiple turns, and you copy the result back when you're happy.

Turns a product or UI request into an implementation-ready design spec with /ui-workflow and /ui-rerun. Analysts run through a read-only ui_analyst tool, and the lead agent writes docs/ui-workflow reports.

Intercepts turn-stopping to force one critique-and-improve round after each completed turn before the agent stops.

Multi-agent isolated debate for DeepSeek Harness: debaters of different temperaments research independently (no herding), then cross-examine, then judges converge to a conclusion. Runs as a background job with per-agent progress, token accounting, wave-parallel execution, and session-referenced resume.

Plan-and-execute orchestration over ReactLoopAgent — turns a goal into reviewable steps with a web UI plan card.

Модульная дисциплина исполнения на передовой для DSH: маршрутизация на основе доказательств по 26 навыкам, планирование файлов в стиле Manus, гейты проверки, восстановление после серий неудач и интерактивная веб-панель.

Claude Code style /init command and tool that writes a minimal CLAUDE.md and symlinks AGENTS.md to it.

Captures every plan the agent presents through exit_plan_mode as markdown under <workspace>/.dsh/plans, opens a review window, and keeps a Plans history tab recording the outcome of each plan.

Preset workflow template library: 12 reusable orchestration script templates with wf_template_list / wf_template_search / wf_template_run / wf_template_validate tools and static template validation.

DSH session workflows for packaging verifiable capsules, evaluating reusable Skills, and comparing controlled session trajectories.

Input redundancy pruning for DeepSeek Harness — drop repeated/redundant tokens before they reach the model (layer ②).

Context compaction / headroom for DeepSeek Harness — compress the live context so the prompt stays small without losing the state that matters (layer 3).

Session context handoff for DeepSeek Harness — stop re-reading and re-deriving context every session. A single skill (layer ①) that keeps the next session warm.

Google's Agent Skills (google/skills) for DeepSeek Harness: 128 bundled SKILL.md skills for Google Cloud, BigQuery, GKE, Gemini, Firebase, ads and analytics.