Plugins

Loads a workspace's VSCode/Copilot AI configuration into every DSH session: `.github/copilot-instructions.md` is injected as standing instructions, `.github/instructions/**/*.instructions.md` are gated by their frontmatter `applyTo` and join once the session has touched a matching file, and `.github/skills/*/SKILL.md` are registered as DSH skills. Configuration directories outside the workspace, by default `~/.copilot`, are read as well, and a settings page edits that path list.

Adds a /context slash command to DeepSeek Harness: shows how much of the session context window is used, how much is free, and a per-category breakdown (system prompt, memory files, skills, messages, tool results). Read-only, local, no model calls.

Diagnoses why a skill is not picked up — truncated description, broken frontmatter, missing resource files — and checks installed plugins for conflicting loader entries. Keeps a per-profile record so every checkup is diffed against the previous one, groups repeated findings into one root cause, produces rewrite worksheets for oversized descriptions, and lists the plugin patches that touch the skill directory configuration.

UI and motion, team sidebar, scoped peer messaging, layered memory and opt-in WeChat notifications.

Turns an ordinary conversation into a guided study session, keeping progress and lectures as dated files that survive a restart. A Study tab shows how far you have got and which ideas are still shaky without writing anything, and a Lectures tab lists each course's lectures as draft, dated, or archived.

DSH-native skill intelligence cockpit: task decomposition, cross-domain multi-skill composition, skill authoring, local recommendations and safety scans for DeepSeek Harness.

DeepSeek Harness plugin for skill-healthcheck: keeps the skill journal while dsh runs and adds /skill-healthcheck to the chat.

Ships BMAD-Method inside the plugin: the seven modules are laid down on first open, no installer run and no download, the method's 90 agent and workflow skills come in the package, and each module can be turned off by writing the disabled flag into the profile patch.

Bundled Pixiv skill backed by a Python CLI: search illustrations, manga and novels, browse daily/weekly/monthly/rookie/original/AI/R-18 rankings, look up works, novel series and artists, and download originals, with multi-page works merged into PDF, ugoira converted to GIF and novel series merged into TXT; requires Python 3.9+ with requests, img2pdf and Pillow installed (pip install -r requirements.txt), and R-18 content needs your own Pixiv cookie.

Mounts the REA (Reverse Engineer Anything) MCP server through two gateway tools instead of registering its 200+ tool schemas on every request: rea_list searches the catalog or returns one tool's input schema, and rea_call invokes that tool, each call spawning a short-lived rea mcp process, so the tool definitions sent per step drop from about 780 KB (207 tools as measured in REA 6.5.0) to about 1-2 KB. When no rea entry point is found it installs rea-agents into a plugin-private directory with the pnpm bundled in DSH (dependency build scripts skipped) and links the reverse-engineer-anything and rea-gateway skills into the skills directory without overwriting existing ones.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Generates complete AI songs (vocals plus full arrangement) from a theme or from provided lyrics, and instrumental BGM, through a bundled xiapan-music skill and a xiapan_music DSH tool; also queries the Xiapan API balance. Uses a user-supplied Xiapan API key (BYOK), and saves the generated mp3 files on the DSH host.

Long-term memory kept as plain Markdown plus git: each session opens with a generated memory-context block assembled from a global store and per-project books (role card, user profile, current focus, routing table, recent logs), the plugin records which memory files the agent read and reminds it to extract conclusions while the day's log is unextracted, personas live in roles/<role>/SOUL.md role cards, and it ships a seven-tab settings page in the sidebar plus four skills. Requires Python 3.10+.

Static-context audit for a DSH home: a six-layer baseline (rules, memory, skills, tool surface, sessions, KB), broken-path checks for a markdown capability map, memory duplicate/stale/over-limit reports, SKILL.md description compression, and tool-surface plus cold-start static-context estimates recovered from session logs. Four read-only DSH tools; writes require --apply and are backed up first. Requires Python 3.10+ on the host (stdlib only; all four tools shell out to the bundled CLI).

Progressive disclosure agent preset and call directory tool that starts from a minimal baseline and unlocks tools, skills, and MCP servers on demand.

Provides three skills for the Let's Build Robots SO-101 course: yanshifu reads the learner's project files to assess progress and suggest next steps; ask answers questions using four bundled guides; update checks for and installs updates to those guides.

Repackages the MedXpert skill collection (zhaoxinghua09-cell/medxpert-skills, Apache-2.0): twenty-one medical-device regulatory skills for NMPA, FDA, EU MDR, and PMDA workflows. Do not install the same skills twice (do not also copy them into ~/.dsh/skills).

Action Hub for DSH: a standard Agent Skill library whose SKILL.md files can run as model-visible Skills or user-only Commands, with groups, project scopes, import/export and a native Alt+A palette.

DeepSeek Harness skill bundle for Hearts of Iron IV 1.19.3 modding: registers 15 skills and mounts 20 local MCP tools (a Python stdio server) to scaffold, statically verify, install and debug mods - focus trees, events, decisions, ideas, characters, technologies, MIO, special projects, scripted GUI and topbar buttons, localisation, DDS icons, 18-slot tank designer layouts, 3D tank models, CJK font auditing and error.log triage - plus a 23-workshop-mod technique survey and a multi-agent playbook. Requires DSH >=0.2.0 <0.3.0 and Python 3.9+ on PATH (standard library only, no third-party packages); no game assets are shipped.

Ships a minimal lesson ledger: brief.ps1 to look up past pitfalls, add-lesson.ps1 to record new ones, deployed into the skills directory and wired into AGENTS.md by the installer. The model checks it before working and turns what it hits into rules, so the same mistake is not made twice. This plugin watches whether that actually happens and shows the result in a tab and under the composer.

Adds handoff, context-decision and context-diagnose skills, self-contained context_pressure/context_history tools (peak tokens, compaction stats), per-route realWindows with windowSource evidence, routeKey, handoffAt forced-handoff line, and slash commands.

DSH Square: An all-in-one sidebar for managing plugins / experts / skills / connectors / (compatible with both web and desktop). DSH Square（广场）：侧边栏一体化管理插件 / 专家 / 技能 / 连接器 / （Web 端与桌面端通用）

DeepSeek Harness (DSH) plugin — connects DSH to MATLAB and Simulink through the official MathWorks MATLAB MCP Server, injects MATLAB/Simulink Agentic Toolkit skills, and provisions everything with one click.

API Hub — manage and call local API providers (keys, models, balances) and skills from inside DeepSeek Harness