awesome-gpt-image-2
freestylefly
Prompt as Code | GPT-Image2 工业级提示词引擎与模板库,470+ 个案例逆向工程,20+ 套工业级模板,并提炼出Skills,持续更新中
DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。
12 个项目,匹配「style」
freestylefly
Prompt as Code | GPT-Image2 工业级提示词引擎与模板库,470+ 个案例逆向工程,20+ 套工业级模板,并提炼出Skills,持续更新中
fredalxin
Solo-style isolated brainstorm branches and Handoffs for DeepSeek Harness
tsrigo
A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.
lzbaclz
Codex-style conversation outline for DeepSeek Harness Web: a right-edge rail with hover preview and click-to-jump
Adkid-Zephyr
语织:中文优先、用户可控的 AI 写作风格记忆层,让 AI 学会你的表达,需要时再调用。Chinese-first style memory for AI; DeepSeek Harness adapter included.
JoukoPuro
一个 DeepSeek Harness(DSH)插件: 在 Web 输入框的工具行中添加一个 ✨ 图标按钮。点击后选择打磨风格,已接入的大模型 会把你草稿中的提示词改写得更专业、更易被 AI 理解 。A DeepSeek Harness plugin: icon-only composer button that rewrites your prompt via the connected LLM (balanced/concise/detailed/code styles, i18n)
isheng-eqi
Hermes-style persistent memory (MEMORY.md / USER.md) for DeepSeek Harness (DSH) — a faithful port of hermes-agent MemoryStore: bounded, file-backed, model-curated, frozen-snapshot injection.
kiligzzz
Piano-key style in-conversation navigation bar for the DeepSeek Harness web GUI: one key per user message, hover preview tooltip, click-to-jump across full history. Official dual-face dsh plugin, no dsh source changes.
helloxkk
Context visibility + GitHub-style usage heatmap for DeepSeek Harness (dsh) — Codex-style /context lens + 53-week contribution graph
Harzva
Lifecycle-safe Codex-style Session context actions for DeepSeek Harness.
Neumannzc
VS Code style native session split patch for DeepSeek Harness
penglai-doll
Hermes-style persistent memory + self-learning for DeepSeek Harness: MEMORY.md/USER.md stores injected as a system-prompt section refreshed every session, a single memory tool (add/replace/remove/atomic batch) with threat scanning, and a post-turn background review loop that replays the transcript through the llm service with a memory-only tool whi