97 results
Engineering workflow layer for DeepSeek Harness (dsh): a disciplined-engineer agent preset with five gated phases — requirements clarification, plan approval, TDD implementation, parallel subagent execution, and verified finishing. Skills adapted from the obra/superpowers workflow methodology.
DSH prompt 工具箱：预制 + 自定义 prompt 模板，点击即插入当前对话输入框（v1 常规模式 + v1.1 智能模式悬浮卡） | Prompt toolbox for DeepSeek Harness: preset + custom prompt templates, one-click insert into the conversation.
Deterministic fault injection, autonomous resilience experiments, and machine-readable evidence for the DeepSeek Harness tool pipeline
Enterprise workbench capabilities for the DeepSeek Harness — AI employees, knowledge bases, skills, MCP servers and plugins, all managed from local state
A DeepSeek Harness skill plugin distilled from Qian Xuesen (钱学森)'s Engineering Cybernetics (《工程控制论》) — a methodology framework for projects, engineering and research.
Adaptive Context Plane core bundle: Evidence Ledger + Governance + Context Composer + User Model (explicit)
Automatic ghost-text next-message suggestions for DeepSeek Harness, with direct-fill manual generation.
Structural code MCP server and batch CLI for compact TypeScript/JavaScript reads and hash-bound AST edits.
Native continuity recovery for long-running DeepSeek Harness agents
Prompt enhancement plugin for DeepSeek Harness: an "✨ Enhance" composer button that rewrites prompts with first-principles thinking using session context, and asks clarifying questions when key info is missing.
Official hybrid DSH plugin: Cheat Engine dynamic debugging toolkit with host ce_* tools and a client floating status panel.
A portable coding lifecycle for AI agents with deterministic routing across 25 skills, durable state, mutation-aware verification, specialized skill packs, lifecycle hooks, DeepSeek Harness plugin & consumed web UI, and an optional local request proxy.
提示词增强（DSH 通用插件）：三种模式（基础/标准/专家）读取会话工作区项目上下文并调用 LLM 增强输入框提示词，支持结果对比确认、采用后撤回、失败模型回退链、按模型能力自动适配推理档位（网关不支持时自动去参重试）、待确认问答闭环（逐条回答后带答案重新增强）、组合行 config 可配置、可取消。Host 半提供 /api/prompt-enhance/enhance；浏览器半在 composer 工具行注册模式选择与 ✦ 按钮、对比面板与忙碌状态卡。随 harness 启动自动加载，无需手动重新加载。
Opt-in DeepSeek Harness Skill-only bundle for the deep-structural-analysis multi-lens structural analysis skill.
Tacit learns what you leave unsaid in your prompts — from messy turns and your own corrections, with zero clicks — and tells the agent how to compensate, on every turn, via a system-prompt section you can read and edit.
IDE engineering services for DeepSeek Harness: LSP diagnostics/navigation/rename, DAP debugging (debugpy + js-debug), and task-toolchain build/test/lint runs.
DeepSeek Harness status-light plugin: character expressions follow the model state, chat-bubble notifications, and a Windows always-on-top mini-window. 状态灯插件：角色表情跟随模型状态 + 聊天框气泡 + 系统级置顶小窗。
Galgame Doctor for DeepSeek Harness: multi-release translation memory, reviewer CSV queues, evidence plans, strict QA, and rollback.
Reproducible multi-source release evidence for DeepSeek Harness
把中文场景描述转成 Anima/Anima Base 的英文自然语言 prompt：7 槽位、11 条 P 规则、负面三层、互斥自检；正负面分开输出直接复制，不输出 Params
Project Memory gives coding agents a single, trustworthy memory for a software repository — so they stop re-learning the same facts and stop writing conflicting "memory" files.
时事热点：AI 大事 + 工科热点 实时聚合面板（DeepSeek Harness Web 插件）。侧边栏入口 + 三视图面板 + 设置管理卡片，数据来自 dsh web 搜索缝合（含抖音/小红书/B站/知乎等来源标注）。
Cordis-native, evidence-driven full-stack engineering discipline for DeepSeek Harness agents
Content-aware tool output compression for DeepSeek Harness.