Plugins

HarmonyOS NEXT skill bundle for DeepSeek Harness with offline API references and DevEco, HDC, and emulator automation guidance.

Expert-mode agent preset for DeepSeek Harness (v0.9.2, npm dsh-expert-mode, bilingual EN/ZH): a chief coordinator plus 17 domain-expert subagents with automatic task delegation. Features: taskboard scheduler (file-system task state machine pending/ready/running/done/failed, dependency DAG, atomic claim, retry, crash recovery), quality gates (5-stage pipeline for high-risk tasks: requirement clarity, implementation, verification, independent review, integration, with 2-round rework limit), Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (~28% token savings), expert persistence, inter-expert file message bus (direct P2P comm, zero coordinator relay), cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance, backend, DevOps, database, QA, security.

Dedicated model routes, tools, and system guidance for vision, compaction, reviews, subagents, titles, and image generation.

Automatically and intelligently routes each delegated task to the best configured model using aliases, capability tags, and usage guidance—keeping routine work fast and affordable while sending complex work to stronger specialists. Configure your model team in the Web UI or guided setup, run specialists in parallel with reliable result joining, and see the chosen model at a glance in subagent views and inline in Better Sidebar's Tasks tree.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

CC-style auto-approval for DeepSeek Harness: deterministic deny/allow rules plus a two-stage allow/reject classifier with a circuit breaker and denial guidance.

A persona and memory plugin for DSH Desktop. Distill characters from chats, novels, scripts, or character sheets; keep long-term and temporary memories, learn style corrections and approved replies, detect persona leakage after switching, visualize memories, and import or export persona cards. Task guidance is reduced to one lightweight fixed discipline with no plans, ledgers, or dynamic reminders.

DeepSeek Harness adapter for Context Mode: in-process ctx_* tools for sandboxed code execution and an FTS5 knowledge base, plus context-window routing guidance.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

Pairs the running executor with a stronger reviewer model through zero-parameter advisor() calls and step-based patrol checks, returning plan, correction, or stop guidance.

DeepSeek Harness plugin for SCNet HPC: SSH setup, CPU/DCU Slurm jobs, cluster probing, compute-node diagnostics, and Hygon DCU/DTK guidance.

Makes the AI default to Mermaid diagrams in development conversations — system prompt guidance, a mermaid_validate syntax-check tool with real-parser validation, and an output gate that auto-fixes or removes broken diagrams. Rendering via dsh-mermaid.

Screen-reader guidance and in-app accessibility diagnostics for DeepSeek Harness

A per-conversation visual slide editor for DeepSeek Harness with AI annotations, workspace files, and shared knowledge guidance.

Paper Design MCP bridge as a DeepSeek Harness bundle: paper_* tools, image screenshot support, design skills, OAuth auth, and Cursor-parity design guidance.

Adds a live status badge to the session header and delivers guidance added mid-task without interrupting the turn.

Adds a thinking-depth slider mapped to declared model levels, configuration guidance, and optional inline model settings.

The child-scoped report tool for continuable in-process subagents on DeepSeek Harness: installs `report` plus its usage guidance into every continuable child scope, so findings reach the parent before the child finishes.

Codex-style DeepSeek Harness model and reasoning selector with model-advertised effort levels, DSH-native themes, left-clipped radiation effects, and copy-ready reasoning-effort declaration guidance for custom-provider models.

Explicit minimal-solution coding guidance for DeepSeek Harness. Registers six load-on-request Ponytail skills and a localized Settings page.

Grafana capability for DeepSeek Harness: composes the community mcp-grafana server with Grafana-specific prompt guidance and a troubleshooting skill

Hermes-style self-evolution for DeepSeek Harness: a skill_manage tool that lets the agent save proven procedures as skills, prompt guidance for when to save them, usage tracking, and a background curator that keeps the self-authored skill library healthy

Reasoning-mode routing plugin for V4 Flash on headless: w7 persona anchoring, first-turn tool anchoring and complexity-dispatched guidance.