Plugins

Motion graphics from a dsh session through the Miran Fann engine over MCP, with a Miran settings page and motion-design skills. Requires the Miran Fann engine installed separately (npx miran-fann setup) and a signed-in install.

AI research toolkit for DSH: a model release radar, a per-model benchmark and community report from 13 structured leaderboards plus Chinese and English community discussion, and an AI news radar over 46 feeds and 22 official X accounts; registers four tools and three skills and renders every report to Markdown with a generated table of contents.

Read-only inventory of every agent preset for the Web GUI, with a matrix of which preset holds which tools, MCP servers and skills, plus CLIs that move a plugin between presets.

Reads the installed plugins, MCP servers and skills, groups them by capability, and reports which preset each belongs in; can register one preset per category on request.

Connects DeepSeek Harness to the official Vercel MCP server over OAuth, with per-Agent on-demand tool loading, slimmed tool schemas, paged long results and 34 bundled Vercel skills.

Use your ChatGPT account to bring Codex models into DSH: choose models and thinking effort, chat with images, use tools and skills, approve local tasks, answer interactive questions, continue and compact long conversations, check quota and Token history, and maintain a supported Windows screenshot helper.

Grouped skill picker for the composer. A button beside the input box opens a panel that browses every installed skill by scene (research, office, data, writing, media, dev), with auto-classification for new skills, Chinese annotations, search and drill-down; picking one inserts the /skill-name gesture.

Agent Studio for DSH Web: configure models, prompts, per-plugin tool bindings and Skills; trial-run with editable tool results and run history; preserve session capability snapshots; export standalone presets; draft Agents with a guided creator preset.

Zagent — unified three-role self-improvement loop with three operators. Data-RSI (daily cross-sectional cleaning: winsorize → cross-sectional standardization → median fill, plus experience extraction), Harness-RSI (evolves system prompt / memory / skills), and Model-RSI (evolves alpha training recipes via framework-native walk-forward with 2-day gap and multi-seed). Offline one-command run, GPU auto-detect. Ships one skill.

Skill-creation console for the Web UI: fetches the official creator skills, hands the requirements to the Huawei Cloud, generic, or REST API creator, then scores the generated skill against a 10-point rubric and returns the itemised deductions to the creator until it reaches 8.5/10.

Provides 15 Superpowers skills for DeepSeek Harness, covering test-driven development, debugging, planning, and code review.

Live skill provider that reads every Xiaomi MiMo (MiMo Desktop / MiMoCode) skill into the DSH session catalog: the engine-bundled skills under engine-config (unpacked from app.asar when that directory is absent), the MiMoCode global and project roots, extension-contributed skill directories declared in extensions.json, and the brand compatibility roots MiMo's own skillPathCompat setting enables.

Scans the skills DSH can load into one browsable catalog organized as collection, category and command, with a sidebar panel, click-to-insert into the composer, and custom categories and per-command notes saved outside the plugin directory.

Bridge between DSH and the local WorkBuddy desktop app, in four parts: read, search and append WorkBuddy memory, skills, plans and daily logs; run tasks through the local CodeBuddy CLI with four permission profiles; drive the running WorkBuddy window over CDP (open a conversation, read its replies as sanitized rich HTML, type and send, switch the account-billed model, relaunch it with a debug port when it is missing); and a sidebar panel that puts that conversation surface inside DSH. 25 tools and 15 HTTP routes in one plugin.

CCReach capability-search provider for DeepSeek Harness, letting agents discover data sources, tools, APIs, MCP servers, skills and workflows.

Imports the MCP servers Codex and Claude Code already declare as dsh mcp-client tools, links the skills of 22 known agent skill directories into ~/.dsh/skills as symlinks instead of copying them, and adds a Settings page that lists what was mounted, toggles each skill, and changes the source on a name conflict.

Chooses which skills and MCP servers each workspace may use, from a "Skills & MCP" item in the workspace row's "..." menu; unchecked skills leave the session catalog, the `skill` tool and `/name`, and unchecked servers have their `mcp__<server>__*` tools denied for that workspace's sessions, running ones included from the next turn.

DSH Desktop control center: one-click app updating (progress dialog, unattended install, resume), plus Skills / MCP / Agents / Import settings pages — import agent presets and chat history from Codex, Claude Code, TRAE and WorkBuddy, search remote sources by address, and push notes straight into the composer.

Chinese summaries for the dsh-skill-mcp-panel skill cards: each expanded card gets a short Chinese overview, a category tag and a few bullet points, while the English description the panel already renders is folded behind a "原文" toggle. Skills missing from the bundled map are translated on demand by the host with your current default model and cached on disk, keyed by a hash of the original text, so a new skill needs no manual entry. Skills whose own description is already Chinese are skipped.

Skill center: browse and manage local Agent Skills, and search, preview and install skills from the ClawHub, ModelScope and QwenPaw marketplaces in one merged view with source and category filters; ships a `skill_hub` tool so the agent can install skills itself. It uses the same package name (dsh-skill-hub) and mount id (skill-hub) as cheshireez/dsh-skill-hub and amd47802574/dsh-skill-hub, so only one of the three can be installed.

Bounded self-managed long-term memory (Hermes-style MEMORY.md / USER.md with hard character limits and a safety scan), a review that runs after every turn and writes plain-language notes or refines an existing skill instead of adding a near-duplicate, a curator that finds and surgically repairs skills the loader would silently discard, cross-session search over past messages, and a learning card above the composer that appears only when there is news and asks before it deletes or rewords a memory.

Registers the project-cross-migration skill for DSH: five-layer agent project migration (conversations, memory, persona, tools, environment) with entry validation, JSONL integrity checks and readable restore. 1,418-message real migration verified across three platforms; pure Python stdlib, MIT.

Emil Kowalski's design-engineering skills — motion, UI polish, Apple design, mobile-native, Swift — bundled as a DeepSeek Harness plugin.

It shows the number of confirmed loaded skills in the conversation header. Click **技能** (Skills) to open the right sidebar and check whether each skill's full main body remains in the current main assistant context, along with its recorded versions and sources.