awesome-gpt-image-2
freestylefly
Prompt as Code | GPT Image 2 / 2.5 提示词与案例库,530+ 个案例、20+ 套工业级模板与可复用 Skills,新增 2.5 同提示词对比专区,附完整提示词与生成记录,持续更新。
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。
84 个项目,匹配「prompt」
freestylefly
Prompt as Code | GPT Image 2 / 2.5 提示词与案例库,530+ 个案例、20+ 套工业级模板与可复用 Skills,新增 2.5 同提示词对比专区,附完整提示词与生成记录,持续更新。
foryourhealth111-pixel
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Unclecheng-li
本项目整理了用于生成[炫酷 HTML 动画网页]的 AI Prompts,涵盖动画效果、3D 可视化、PPT 风格演示、UI 美化等多个类别。
tinqiao-oss
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
WestFox-AwA
DSH 插件 · 注入式优化器 0.8(主线):你照常说话,它在你发送后,AI接收前把"这一轮到底要什么"理清楚,再把这份理解交给工作 AI(上下文注入) —— 原话不改写,条条带逐字依据。含控制界面(档位/权限/模型/上下文/只读工具)、拦截浮层(思维层+产出层)与真实 token 用量。可明显提升大多数模型的发挥稳定性,尤其DeepSeek-V4.1-Flash,可有明显提升
Aik358
Proactive associative memory for DSH: system-prompt recall before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
AskTheWay
Claude Code-style auto-memory plugin for DeepSeek Harness (dsh): typed memory files + MEMORY.md index auto-injected into the system prompt. File-only, no external services.
Fishsb
DeepSeek Harness (DSH) 插件:✨ 提示词一键增强 + 💬 语音识别(说完自动停·云端/本地双引擎)· 附 🔁 服务异常一键重启
sailoumili
小说创作模式:一个统筹队长统领全局,5 个专职子代理各司其职——架构世界、策划剧情、管理人物、执笔写文、质检复核——协同写作。
FeatherHunter
DeepSeek Harness 的 Prompt 工具箱:别再复制粘贴——24 条深度模板随手点,/prompt 与智能推荐主动兜底,装好即用、可自定义。 | The Prompt toolbox for DeepSeek Harness: stop copy-pasting — 24 deep templates at a click, /prompt & smart suggestions as backup; out of the box, fully customizable.
seven282
用于优化 DeepSeek harness提示词优化器,提升 AI 输出质量
c3cvld7aag
富江DSH完美破甲|富江破甲 DSH 本地插件,内置提示词规则,支持 Windows 一键安装、环境自动准备与一键卸载,全中文使用说明。
Qian-Ning
Managing prompts,, skills, MCP tools & wallpaper for DeepSeek Harness
phoenixlucky
让 Agent 高效又守纪律 — 不止省 token:ZeroToken 压缩无效上下文/推理/输出;尉缭子十原则约束权限边界、单一指令、先谋后动、验证先于结束;附 Unicode 编码规范、搜索规范、六种任务模式。More than token savings: ZeroToken efficiency + AI coding discipline for Reasonix / Codex / OpenCode / Hermes
1420079678-ctrl
Gates 84.7% of tool-schema prompt tokens away for DeepSeek Harness: plugins declare themselves organs, a nerve impulse routes each command, reflex arcs fire with zero model calls, memory consolidates while idle, every failure is attributed before retry. Reproducible offline, MIT.
beihzb
Per-conversation x-opencode-session injection for OpenCode Go in DeepSeek Harness - fixes 400 MissingSessionID without breaking other providers
starslittle
DSH 排队消息增强面板:编辑、删除、插话、排序与批量删除功能
LouisHaoL
DSH plugin: host-resident scheduled-jobs × AI-agent engine (hermes-agent cron inspired) — 60s ticker fires real agent sessions via cron; pinned-session / project-workdir / default-workspace targeting; timer_agent model tool + web board
Minglink
🌐 DeepSeek 官方与开源生态插件市场 (deepseek.stream) 使用指南与一键安装协议规范
HorusJiang
Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.
MichengAI
DSH PUA — 为 DeepSeek Harness 提供 PUA 任务推进、角色风味、验收循环和运行状态卡片 · PUA task persistence, personas, verification loops, and live status cards for DeepSeek Harness
rinDBeans
DeepSeek V4 Pro/Flash unified anchored agent preset for DeepSeek Harness (official API & opencode-go): two-stage RL-aligned bootstrap, model-aware path routing, epoch-aware long-session stability
Soulize
A DeepSeek Harness (dsh) agent preset for making large engineering tasks deliberate, integrated, and verifiable from the first turn.
falling-ts
Aggressive context compaction for local-first agents. Runs Qwen3.8‑27B on self‑hosted llama.cpp at low context, shrinking history so the live prompt stays small, fast, and private—delivering a big‑window experience without API cost or data egress. 面向本地的激进上下文压缩插件。自托管 llama.cpp 低上下文运行 Qwen3.8‑27B,不断收缩历史、保持常驻 prompt 小而快,兼顾隐私与大窗口体验,零 API 成本、数据不出本机。