Plugins

Manage MCP servers, skills, and tools for your agent — true in-context state (loaded/truncated/evicted) and per-session switches.

273 ECC skills (95.8% of the 227k-star operator system) ported to DSH in four batches.

Registers the justSkill design skill in DSH, adds a workbench that lists design files across workspaces, and opens a file's live canvas in the session's right sidebar. The agent edits a validated HTML file one operation at a time while the user reviews and adjusts on the canvas.

Registers the RainSkills bootstrap skill in DeepSeek Harness for deploying, troubleshooting, and verifying applications on Rainbond.

Patent-writing gatekeeper for dsh - screens the idea against Chinese prior art first, then runs five-party alignment interviews, eight-chapter disclosure drafting, figures and simulation runs, seven-dimension review and docx/PDF export. Skills work out of the box; the search, export and experiment tools come from a bundled Python MCP service that ships disabled - one line in ~/.dsh/patent-services.yaml enables it, and uvx fetches the wheel from PyPI.

Karpathy LLM Wiki pattern knowledge base for DSH: wiki-write/wiki-search skills, zero-dependency pipeline (lint/index/mnemon memory sync/quality feedback), minimal lifecycle plugin injecting schema + knowledge preview, SiliconFlow semantic recall via an Ollama-compatible proxy.

100+ multi platform social-media data skills, plus 40 native MCP tools covering data APIs, AI search and AI generation — all installable with one command.

Eleven game-development agent presets cut by workflow stage — concept, design, build, art and audio, QA, release, narrative, level, engine — plus one orchestrator that delegates across them, carrying 37 bundled skills. Regroups the 48 agent prompts of Claude Code Game Studios (MIT) by stage so each preset loads only the skills its stage needs. Installs with dsh plugin add; run node install.mjs once afterwards to deploy the skills the presets reference.

AI short-drama workspace for DeepSeek Harness, with a dedicated drama agent preset, 35 agent tools and 10 bundled skills covering outline, characters, script, storyboard and export.

Use plugins from ecosystems such as Claude Code and Codex in DSH: add Git plugin sources and marketplaces, upload plugins and skills, add MCP servers, automatically discover and toggle local skills, and manage plugins, skills and MCP in one place, including plugin-provided subagents, Hooks and LSP.

Media and vision workspace for DeepSeek Harness: image, video and speech generation, image Q&A and element locating, long-image OCR, pixel diff, HTML-screenshot verification and video summarization, with DashScope and OpenAI-compatible providers, model pools and a workbench client.

Automatic session retrospective: after a conversation wraps up, distills useful experience into reusable skills stored in the skill library for the model to call, with signal-accelerated triggers, manual runs, an approval mode, and skill-library governance (archive/restore, never deletes directly).

Cross-session memory with zero-token deterministic recall (bigram-Jaccard fused with FTS5 BM25 via RRF, Chinese-aware tokenization), reinforcement that strengthens repeated observations, and procedures crystallized into SKILL.md files refined in place through an active-stale-archived lifecycle with reversible archive and rollback. Ingest and disposal each expose a user-chosen autonomy tier; conflicts and high-importance writes always go to human review, and nothing is ever auto-deleted. Requires Node 22.5+.

Type /私 and complete 私家大厨 — Chinese skill names, zero renaming. Patches DSH skill discovery, the / gesture and the skill tool so any Unicode SKILL.md name (私家大厨, 卡路里, 作息管家…) works: slash completion, direct /私家大厨 invocation, model skill({name}) loading. Zero config; runtime changes revert on uninstall, but the regex patch written into three DSH packages on disk stays until the next DSH upgrade replaces those files.

Curated research plugin market: adds a Research plugins page to Settings with hand-reviewed plugins for literature search, reference management, writing and workbenches — one-click install, update and remove pinned to the reviewed version, restart from the panel, and exactly one network request (its own catalog).

Make any project AI-agent-ready in one command. Adaptive tech stack detection (7 languages × 14 frameworks × 61 components), auto-generates AGENTS.md, docs skeleton, CI/CD, and testing infrastructure. 一句话让任何项目具备 AI 开发能力。

Reproducible science workbench: agent-driven cells, inline figures with feedback/rerun, manifest provenance, environment snapshots, and publication-grade figure skills (9 bio_* tools + workbench UI).

Generate Functions, MCP tools, workflow Skills, and offline test packages from user-authorized source code.

Registers two MCP servers that drive the installed AutoCAD and SolidWorks desktop apps over COM, plus two on-demand skills. Windows only, Python 3.11+; the pinned upstream servers install themselves on first load, and only the sides whose CAD application is registered get a row. Each server advertises two meta-tools instead of its full catalog (a discovery shim here for SolidWorks, upstream DISCOVERY_MODE=search for AutoCAD), taking the schemas loaded before the first request from 23,404 to 256 tokens and from 83,732 to 365 respectively.

Ports the obra/superpowers methodology as 14 native DSH skills covering planning, TDD, debugging, and code review.

A web Settings "Loop engine" switch that swaps the agent loop driving every dsh session among five engines — the built-in in-process loop plus hosted Claude Code, Codex, Pi, and Kimi Code — with zero changes to the harness; each hosted engine keeps its thinking and tool calls in the durable session transcript, takes over commands, skills, and the agent preset, and runs sandboxed through the dsh subprocess seam.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

Installs the browser4-cli runtime and registers the Browser4 skills (browser4-cli, browser4-experience, browser4-plugin, scent-miner) into the DSH skill registry, providing an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation.

Batch-port official Codex plugins into DSH skills (codex_list/port/status/health; measured: 186 plugins / 583 skills, 577 ported, 0 failures).