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).

Fusiona el contexto de otras sesiones en el turno actual: resolución de conflictos ponderada por evidencia, retractación de afirmaciones cuyas premisas fueron retractadas, etiquetado de confianza que resiste la inyección de prompts entre sesiones, y empaquetado acotado por presupuesto. Incluye un 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 de temas candentes en tiempo real para la interfaz web de DSH: noticias de IA y noticias de ingeniería, cada elemento con un resumen condensado y el enlace a la fuente, que se muestra desde una entrada de la barra lateral con tres vistas, filtros por palabra clave y fuente, marcado de leído y atajos de teclado.

Cadena de herramientas integrada de creación visual para DSH: ingeniería inversa de prompts y optimización de auditoría, además de generación de imágenes multiproveedor con renderizado asíncrono en segundo plano.

Complemento de DeepSeek Harness: el CLI `self` de Superself como herramientas orientadas al modelo más un comando /self — estado del proyecto entre sesiones y proyectos para los agentes.

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.

Kit de herramientas de creación y mejora de prompts para DeepSeek Harness: Studio y QuickEnhancer. Herramienta de código abierto.

Condensa los títulos de sesión de DSH de una oración completa a una frase breve sin verbo, con el objetivo de mantenerse por debajo de cinco palabras.