new-project-init
项目文档体系初始化 skill(DeepSeek Harness 插件包 / Reasonix 技能):提问驱动落实文档规范 + 固化 AI 协作工作流,以「存量完善」为核心场景,跨平台可用(DSH / Reasonix / ZCode / Claude Code / Codex)。
206 results
项目文档体系初始化 skill(DeepSeek Harness 插件包 / Reasonix 技能):提问驱动落实文档规范 + 固化 AI 协作工作流,以「存量完善」为核心场景,跨平台可用(DSH / Reasonix / ZCode / Claude Code / Codex)。
DeepSeek Harness plugin: a General-settings selector that chooses which language the model reasons in, via a system-prompt section.
Reasonix-style cache-aware compaction backend for DeepSeek Harness (DSH). Replaces/enhances compaction-basic with compact_ratio, one structured summary checkpoint, and a stable recent tail.
Declare per-model reasoning efforts, image input, and openai-completions dialect on hand-declared llm-pi-ai routes. Writes the official namespace; does not intercept llm/stream or replace the Models page.
Bidirectional conversation migration between DeepSeek Harness, Codex, Claude Code, Pi, Reasonix, and OpenCode
Message edit / regenerate for DSH Web: inline edit of assistant replies (text + reasoning), regenerate replies, and user-message edit — a Cordis host plugin serving /api/msg-edit/* plus a dsh.client UI plugin contributing to the assistant action strip.
Shows the selected model provider's account balance next to the composer model seat once a model and reasoning effort are selected.
Vision-augmented DeepSeek adapter plugin for DeepSeek Harness: a vision-capable model describes image input, then a text-only DeepSeek model reasons over the description
DeepSeek Harness plugin with two default model-and-reasoning shortcuts above the composer and optional Settings customization.
DeepSeek Harness LLM adapter plugin for locally deployed Qwen models behind a vLLM OpenAI-compatible endpoint: per-model multimodal switch, fully configurable reasoning efforts, and a web settings page (client plugin) for editing the deployment from the frontend
Native interactive visual-reasoning plugin for DeepSeek Harness: precise pixel grounding (SOM grid, zoom, annotate, measure, diff, color, OCR) + MiMo V2.5 multimodal backend, with zero external MCP servers.
DeepSeek Harness 插件:让模型的思考(reasoning)与最终回答默认使用简体中文。A Chinese-first plugin that makes DeepSeek Harness reason and answer in Simplified Chinese by default.
Windows Git Bash fix for DeepSeek Harness (dsh): MSYS sandbox conflict + terminal inspector, plus the minimal-win collective-thinking preset (we/let's reasoning chain).
Unified ModelID routing for DeepSeek Harness: one logical model id over multiple providers, first-token failover with cooldown, health-aware ranking, fallback reasoning efforts, purpose-based simple/complex task split, per-tier reasoning effort, and a settings-page management panel.
Import CC Switch Codex profiles and configure per-model reasoning in DSH.
DeepSeek Harness plugin: display-layer translation of reasoning and answers via Chrome Translator or an OpenAI-compatible API
面向 DeepSeek Harness Standard 的 DeepSeek V4 首轮 RL 锚定插件,promotion 后恢复完整能力与 Skill。
Capability-aware reasoning controls and provider-native Fast mode for the DeepSeek Harness web composer
Keep Think reasoning rows visible and auto-expanded, and always force Chinese thinking and replies. 保持 Think 思考行可见并自动展开,并始终强制中文思考与回复。
DSH plugin (NInfer engine only): fixes compaction failure on local qwen3.8-27b gateways served by NInfer — xhigh thinking burns the entire output token budget, so thinking is off for compaction-only, with the model's non-thinking sampling parameters; the same idea applies to other launch methods
CodeBuddy (copilot.tencent.com) provider bundle for DeepSeek Harness (dsh): 18 models (DeepSeek, GLM, Kimi, MiniMax, Hunyuan, auto) with adjustable reasoning efforts, CodeBuddy web search / web fetch backends for the stock dsh tools, and a settings card in the Web UI.
A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers.
Limit the expanded thinking block to a bounded scroll window in the DSH web conversation.
KISS's Law (Weiwen's Law) universal causal engine (white-box presentation). DeepSeek Harness (Cordis) plugin implementation.