dsh-marketing-mindset
A professional marketer's operating mindset as a dsh skill — how to think, decide, and prioritize for any marketing or client-acquisition task. Not a tactical template.
262 results
A professional marketer's operating mindset as a dsh skill — how to think, decide, and prioritize for any marketing or client-acquisition task. Not a tactical template.
Omni - a reliability and orchestration control plane for DeepSeek Harness, designed to turn fast models into dependable long-horizon software-engineering agents.
Wallpaper Engine library as the DSH web GUI background — video/web/still wallpapers, rotation lists, search, resource monitor, bilingual UI.
Sync active Wallpaper Engine wallpapers(image/video/scence/app)to DeepSeek Harness Web UI as a customizable dynamic background.
DSH host + client 双面可视化多 Agent 工作流设计器插件(模式一编排执行 / 模式二后台服务)
Delivery quality gate for DeepSeek Harness: grill the requirements, test the implementation, prove the delivery, and gate the handoff with a deliverable/rework decision.
DSH (DeepSeek Harness) plugin: launch and drive a running Godot 4.x game through its in-game TCP interaction server — replaces the godot-mcp MCP server with native agent tools.
DeepSeek Harness dual-face plugin: Codex-style file references (@path), fully bundled document→Markdown (MarkItDown engine, 20+ formats), mature image handling (read_image for multimodal routes, automatic vision descriptions for text-only models), read_document tool.
Multi-Core Collaborative Novel Writing — a DeepSeek Harness (DSH) preset plugin that installs a multi-agent novel-writing mode: one conductor plus five specialized subagents (多核协同写作模式).
Deep Research orchestrator extension for DeepSeek Harness: an adaptive cybernetics/information-theory deep_research tool on the official workflow engine, reusing built-in web_search/web_fetch.
DSH Web 多主题引擎:完整支持 opencode 全部 38 个主题(37 内置:33 TUI + 4 桌面 2.0 + system)。数据驱动三层管线:主题 JSON → 颜色解析 → DSH 适配注入。
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
AI-native web scraping and JavaScript reverse-engineering platform powered by DSH, Patchright/CDP, semantic recovery, and verifiable Solvers
DSH (DeepSeek Harness) plugin packaging of the Project Blueprint skill — one-command AI coding conventions (AGENTS.md, docs skeleton, CI/CD, git rules, testing policy) with an autonomous discovery engine (7 languages, 15 frameworks, 70+ components, web fallback).
Token-efficient assistant discipline for concise answers and task execution. Use when the user asks for direct, low-token work, or invokes this skill; includes optional file and Windows encoding utilities declared below.
L0~L3 分层蒸馏记忆插件 for DeepSeek Harness:自动捕获对话(L0)、抽取原子记忆(L1)、整合场景块(L2)、蒸馏核心画像/团队方法论(L3),并在模型步骤前自动召回注入。移植自 MemoryCore (TencentDB Agent Memory) 的管线设计。
Multi-engine fused web search, page fetch, real-time X (Twitter) search with credential-free fallback, deep research and parallel multi-agent research for DeepSeek Harness. Free layer: Bing / DuckDuckGo / Yahoo / Exa MCP (all keyless, live-probed); api layer adds Antigravity CLI and keyed Tavily/Brave/Exa.
VCC-style instant, near-lossless deterministic compaction engine for the DeepSeek Harness — a drop-in replacement for @deepseek-ai/dsh-compaction-basic
SGME 仓库级 DSH 插件包装(真实插件包在 adapters/dsh/sgme-bridge/,dsh-sgme 已发布 npm)。本文件让 dsh plugin add github:freehul/sgme 直接可装,并让 dshfind 能推导出 npm 安装命令。
Miraculous Standard — unified anchored agent preset for DeepSeek V4 Pro/Flash (official API & opencode-go). Minimal-exact two-tool first-request bootstrap, model-aware Pro/Flash paths, unified context gate, epoch-aware catalog management, rc7-ready shell handling.
Reduce large agent tool output by what it means, not by where it was cut.
DeepSeek Harness (DSH) bundle porting Matt Pocock's 'Engineering for Real Engineers' + 'Productivity' Claude-Code skills (SKILL.md set) into a native DSH skill plugin. Same skill bodies, DSH skill discovery.
dsh plugin: recognize attached images with the built-in Windows OCR engine (Windows.Media.Ocr) and send only the recognized text to the model. Text models never receive image bytes; vision passthrough is opt-in.
DSH Web GUI font engine + settings page: runtime discovery of every client plugin's styles, declaration-point pick-to-tune selector (design tokens / per-rule px), configurable hotkeys (picker / font size ±1), system font enumeration via sfnt name-table parsing, DSH settings.yaml persistence (with localStorage fallback for older installs and offline reads), manual refresh (no polling).