Plugins

Deck-generation skill for the National College Student Career Planning Competition. It takes a contestant's profile, materials and photographs, drafts a page-by-page outline for confirmation, then renders a 15-20 page reading-type PPTX (under 15 pages is flagged as a page-count error) using 17 page types, three built-in themes or a user-supplied template; the build audits the estimated layout (text overflow, per-page word count, missing evaluation dimensions, material gaps) and the rendered PDF is checked again for out-of-bounds and overlapping text. Requires Python 3.9+ with python-pptx, python-docx and Pillow; LibreOffice (soffice) and pdftotext are optional for the PDF layout re-check.

Bundles five TIA Portal skills (Siemens PLC docs lookup, ladder-logic generation, SimaticML-to-PNG rendering, scan-cycle simulation with PASS/FAIL scenarios, and a TiaLink gateway skill for driving a real TIA Portal project) and wires five MCP endpoints. Requires TiaLink (paid; Windows + TIA Portal V19/V20 + Openness) for real-project work, API keys for the four cloud services (100 free calls each, then paid; rendering is billed per call even on failure), Node 22+, and network access; program snippets are uploaded to tia.hubwiz.com.

Xander Amazon seller-operations toolkit for DeepSeek Harness: 33 native xander_* tools and 7 skills for competitor research, keywords, listings, ads, replenishment and profit, with exact proposals, explicit approval and read-back verification for Amazon changes.

Lead-mode agent preset plus two runtime skills for the official Agent Teams runtime: a delegate-wait-verify working method, and a wrap-up digest that merges several members' output into one file. Ships no team runtime of its own.

Five skills for a reviewable engineering incident journal: record an event only when a counterfactual can be written, quiz yourself from the existing entries, audit the journal for decay, ingest outside material together with its provenance, and rename a layout directory while rewriting every reference to it.

Personal QQ channel for dsh: managed NapCat with QR login, private/group AI replies with batching and image understanding, local archive with polling backfill, in-group @ and self-recall, QQ Zone guestbook tools, and a sidebar panel. By default any QQ user who DMs the account (or @s it in a group) gets an AI reply; set access.privateMode / groupMode to allowlist to restrict. Owner-only commands stay owner-only.

Apify Actors for DeepSeek Harness: adds the Apify MCP server to your profile.

Autonomous AI assistant and multi-agent collaboration for DSH: discuss goals, plan work in the background, coordinate multiple Workers to execute tasks and review results, pause and resume work, recover after interruptions, keep task history and deliverables, and build working memory and skills; offers a standard local mode and optional experimental private-Git collaboration.

Skill index browser with search, custom alias editing, and chat-input skill insertion.

Checks installed DSH plugins for version-declaration and API risks against the current host, with source locations when available, certainty, impact basis and coverage limits. Adds a compatibility settings panel, plugin-detail findings/badges, a compat_check agent tool and a skill provider.

Bundles the 32 gis/ skills of opengis-skills (GDAL, QGIS, GeoServer, PostGIS, PROJ, PDAL, GRASS GIS, JTS, GeoPandas, Shapely, CesiumJS, OpenLayers, Leaflet, deck.gl and more) into the DSH skill catalog; only names and descriptions appear up front, and instruction bodies plus reference documents load on demand.

Multilingual writing, chunked long-form collaboration and continuity review, with on-demand DSH delegation discovery. Requires Python 3.9+ on PATH.

Eight academic skills bundled for one-command install — publication-ready academic figures designed from real data with visual review, AI-text humanization, paper polishing and rewriting, PubMed citation verification (DOI/PMID reconciliation), Chinese citation and medical-book reference checks, and WeChat medical article structuring. Three skills run fully local, five call external services only when used (NCBI E-utilities, DOI resolvers, publishing platforms), declared per skill. Zero telemetry, no install-time scripts. Skills run local Python 3.8+; the academic-figures skill also needs its pip dependencies installed.

Export a whole working DSH home — profile, installed plugins with their node_modules, skills, hooks and task boards — into one .dshpkg tar and import it on another machine without network or pnpm; also streams over HTTP or a one-shot LAN link.

Manage MCP servers and skills in DeepSeek Harness, and control which tools enter the next prompt.

Manage MCP servers and skills in DeepSeek Harness, and hide tool groups from the next prompt with token-cost estimates.

Tianlight theme/skin for DeepSeek Harness: full-screen video and image wallpapers with upload, rotation, URL and ShaderToy GLSL sources; optional WebWallGL scene wallpapers; liquid glass; and a draggable Mint cat companion with permission-gated AI chat, local chat history and per-look action packs. Alt+W opens the wallpaper panel.

Long-term memory for DSH stored as plain Markdown. Real user/assistant exchanges are captured into daily session files without a model call; an LLM pass then distils them into memories that are injected into the system prompt each turn. Retrieval is local (CJK bigram + BM25) in three levels — index, summary, full text — so the model only pays for the detail it asks for. Memories carry priorities; P0 and user-written entries are never changed automatically, and forgetting marks an entry stale instead of deleting it, so the whole chain stays auditable in status.md. Six tools cover recall, write, status, extract, feedback and the skill library; when a cluster of memories is ready to become a skill, a card appears at the end of the turn, writes the SKILL.md on click, and installs it only after you approve. Learning is on by default and follows the conversation model; turning the master switch off stops the LLM entirely while capture keeps working. Failures are surfaced in the prompt and in status.md instead of being swallowed. Pure JavaScript, no third-party runtime dependencies beyond the harness packages.

Runs one-time and recurring Agent tasks in fresh DSH sessions, with natural-language schedules, visual schedule editing and session-linked history. Supports custom models, skills, pause on failure, and permission settings.

Provides three learning skills for course notes, conceptual explanations, and self-contained lecture chapters, with bundled references and course helper scripts.

Browse, preview and install public Agent Skills from inside the DSH web GUI, aggregating five sources (claudeskills.info, skillsmp.com, the awesome-claude-skills repository list, the official anthropics/skills repo, and skill packs shipped by installed DSH plugins). Skills install pinned to a commit rather than a branch name, so what you previewed is what lands; the panel reports provenance, whole-tree update checks and a trash instead of deleting. Before writing anything it validates the skill name and frontmatter against the rules the harness silently enforces, lists files that SKILL.md references but the fetch did not bring, flags partial fetches, and offers overwrite, rename or skip when a name is taken.

Lighten the load on your agent: one-click toggles for skills and MCP, so the context holds only what this turn actually needs. Skills and MCP servers you switch off are no longer injected into the model context — cleaner, and lighter on tokens.

DSH hardware sandbox plugin: assemble a 3D scene of ESP32 / BME280 / PIR / LED components with protocol- and voltage-checked port wiring, run real Python project code in the loop against simulated I2C/GPIO hardware with fault injection, let networked device simulators report over HTTP to a real backend (validated end-to-end against a live seat-reservation system), observe a real device read-only and map its state onto the scene, and add support for new boards through data-driven pin definitions. Ships 16 hw_* agent tools plus a bundled SKILL.md.

Read-only audit of the local CLI toolchain as a sidebar panel in the DSH web GUI: lists installed versions across Homebrew, npm global, pip, Rust/Bun/uv and self-updating CLIs, flags which ones have a newer release available, and shows the dependency impact for installed packages. It reports only and never runs an upgrade, so no tool on the machine is modified. The DSH plugin ships on npm as `dsh-cli-doctor`.