Plugins

Provides a skill for the LinShang LS125 UV irradiance meter and its UVALED-X3 probe: the reverse-engineered 9600 8N1 link (28-byte frames, CRC-16/MODBUS, poll and clear commands), a capture and decode toolchain, and a verified STM32F103 host firmware that reads the probe without the original meter. All code and documentation written by an AI agent (DeepSeek Harness).

Führt den Kontext anderer Sessions in den aktuellen Turn zusammen: evidenzgewichtete Konfliktauflösung, Rücknahme von Aussagen, deren Prämissen zurückgenommen wurden, Vertrauens-Kennzeichnung, die sessionübergreifender Prompt-Injection widersteht, und budgetbegrenztes Packing. Enthält einen Benchmark.

On-demand memory for DeepSeek Harness: session logs are distilled into layered markdown (a summary, an index and per-topic files), and a mem_query tool returns only the matched entries rather than the whole index. Nothing is injected per turn, there are no dependencies, and every entry keeps a source pointer back to the conversation it came from.

Panel für aktuelle Trends in der Weboberfläche von DSH: KI-Nachrichten und Techniknachrichten, jeder Eintrag mit einer verdichteten Zusammenfassung und dem Link zur Quelle, erreichbar über einen Eintrag in der Seitenleiste, mit drei Ansichten, Filtern nach Stichwort und Quelle, Markierung des Lesestands und Kurzbefehlen.

Integrierte visuelle Erstellungstoolchain für DSH: Prompt-Reverse-Engineering und Audit-Optimierung sowie Multi-Provider-Bildgenerierung mit asynchronem Hintergrund-Rendering.

DeepSeek-Harness-Plugin: Superselfs `self`-CLI als modellseitige Tools plus ein /self-Befehl — projektübergreifender und sitzungsübergreifender Projektzustand für Agenten.

DeepSeek Harness plugin that trims tool output (head/tail plus grep folding), adds optional prompt shaping (Caveman and Ponytail), instant local responses, RTK command-output compaction, context-pressure handling, optional LLM-summary compaction, stable prompt-cache layout, a Web settings UI, and persisted savings telemetry.

Four-tier prompt enhancer for the composer — a button and a global shortcut rewrite the draft as a light tidy-up, a single paragraph, a five-section brief, or an eight-section system prompt, with a before/after panel, fill-back and undo. Never changes intent, never invents requirements.

⚡ One-click prompt enhance in the DSH composer. Still short? Keep going for up to 5 rounds; 🕐 every round is auto-saved, one click to roll back; ↩️ the result syncs back to the composer, with a line diff for every change; 🎨 6 read-only built-in presets plus up to 3 of your own, 🪄 button icon and 📍 position are all yours to tweak.

Mounts the tsm-core-dlr semantic service (LanceDB vectors + graph) as MCP tools and ships the scenario-independent DLR/TSM modeling skill, a service-status overlay and the agent rules; the service is a hard dependency and must be running before the bundle activates.

Adds a button to the composer that rewrites the unsent draft into a clearer, more specific prompt, with one-click restore, a settings page and an optional per-request model override.

Compiles a rough need into a versioned task book (goal / context / constraints / acceptance / decisions / open gaps, all numbered) and hands it to any AI window losslessly: the receiver must pass a read-back handshake — restate, list gaps, declare READY — before work starts; /answer closes gaps with an automatic version bump, /forge-list tracks which window holds which version.

DSH 提示词工作台：看清 system prompt 的每一段、写下你自己的家规、体检重复与矛盾，并记下每次改动。

Tree-branching workspace plugin for DeepSeek Harness: open an engineering direction as one atom — a git worktree plus a child session that inherits the conversation, wired into a tree you can see.

2D engineering prints (PDF/PNG/JPG) of plate parts to noBS CAD scripts and STEP files: modelling skill, CAD tools over the noBS CAD MCP engine, packed native print probe, and a 2D → 3D panel in the Web UI.

Cordis-native, evidence-driven full-stack engineering workflow: inspect-first planning, explicit verification evidence, and approval-aware gating for sensitive operations.

Ponytail lazy-senior-dev ruleset for DeepSeek Harness: a 7-rung minimal-code ladder (YAGNI, reuse, stdlib, native, installed deps, one line, minimum), six skills (main rules, over-engineering review, repo audit, debt ledger, gain scoreboard, help), a /ponytail session command for lite/full/ultra/off levels, and optional always-on ruleset injection via config. Vendored verbatim from upstream ponytail (MIT), zero tools registered, clean uninstall.

Adds a sparkle button left of the model selector in the composer: it rewrites the draft into a clearer, more complete task brief, replaces it in place with one-click undo, offers five rewrite styles, and greys out while the draft carries file/command chips.

Adds a composer button that optimizes the current prompt or designs the next one from the current session and project context.

Skill pack plugin: the 25 promoted skills from mattpocock/skills (engineering and productivity), translated to Chinese, registered as a bundled DSH skill provider.

DeepSeek Harness (Cordis) plugin — bi-temporal VSA memory + cognition engine + BLAKE3 provenance, exposed as a DSH storage+session plugin. End-to-end tested with a real Python subprocess.

An approval-gated OME engineering delivery preset with session-isolated lifecycle evidence.

Toolkit zum Erstellen und Verbessern von Prompts für DeepSeek Harness: Studio und QuickEnhancer. Open-Source-Werkzeug.

Verkürzt DSH-Sitzungstitel von einem vollständigen Satz zu einer kurzen verblosen Phrase mit weniger als fünf Wörtern.