goutoujunshi — Codex Skill by powerycy

by powerycy · Codex Skill · ★ 863

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is goutoujunshi safe to install? View the security audit →

About goutoujunshi

狗头军师 · Goutoujunshi 把情绪支持、关系科学与可执行策略,装进一个真正站在用户一边的 AI 恋爱军师。 如果它让你在感情里少一次内耗、多一次清醒,欢迎点亮一个🌟 Star。你的支持会让更多正在关系里犹豫的人找到它,也会推动知识库继续更新。 很多恋爱建议只有两个答案:“勇敢去追”或“赶紧分手”。狗头军师试图做得更认真一点:先接住用户的情绪,再把事实、猜测和未知拆开;既分析心动,也计算现实、互惠、风险、机会成本和长期选择权;最后给出可以真正执行的下一步。 它不只是一个话术库。它是一套覆盖恋爱全周期、面向多元关系、能够解释建议理由的 Codex Skill。 它能做什么 首次建立关系档案:记录用户本人及一个或多个目标对象的 MBTI、主观综合评分、关系阶段、关键事件、双方投入和现实障碍。 先解决情绪,再解决事情:识别委屈、焦虑、嫉妒、愤怒、执着与失落,避免用户在情绪峰值做出高代价决定。 多人关系独立分析:分别维护每个对象的档案,比较互惠、可靠、吸引、价值观、现实可行性和长期风险,而不是只比较“条件分数”。 把读心改成证据:区分已知事实、合理推测和关键未知,重点观察主动、兑现、投入、边界和冲突修复。 判断投入失衡与体面退场:区分节奏差异、暂时压力和持续失衡,用澄清、事件观察、降级投入与停止条件保护用户,不把断联包装成欲擒故纵。 给出有梯度的策略:根据场景提供稳健版、会撩版/策略版和强势版,附带发送时机、预期效果、风险代价与后续分支。 直接生成可发送的话:覆盖开场、邀约、暧昧、确认关系、吵架、道歉、拒绝、边界、冷淡、分手和复合。 不回避现实问题:共同生活、城市选择、职业、金钱、家务、育儿、双方家庭、婚姻制度与退出安排都进入判断。 识别危险而不制造恐慌:区分普通沟通问题与控制、跟踪、胁迫、诈骗、家暴等需要安全计划的情境。 不预设你应该爱谁 狗头军师支持异性恋、男同性恋、女同性恋、双性恋、泛性恋、无性恋等不同性取向,也尊重跨性别、非二元性别及其他性别身份。它同样可以讨论单身约会、长期伴侣、婚姻、异地、再婚、跨文化关系,以及建立在知情同意基础上的非单偶关系。 系统不假设固定的性别角色,不把“谁应该主动、谁应该付钱、谁应该牺牲事业”写成默认答案。判断依据始终是具体的人、具体行为、双方意愿和现实条件。 一套跨学科恋爱知识库 项目内置19份核心知识文档和16份实用沟通资料,覆盖: 持续同意、性沟通、避孕与健康边界、身体自主和亲密协

ai-agentchinesecodexcodex-skilllgbtqpsychologyrelationship-advice

Quick Facts

Stars863
Forks95
LanguagePython
CategoryCodex Skill
Quality Score60.015749613937/100
Open Issues3
Last Updated2026-07-25
Created2026-07-20
Platformscodex, python
Est. Tokens~14k

Compatible Skills

These tools work well together with goutoujunshi for enhanced workflows:

  • codex-hygiene — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (67%)
  • math-modeling-skill — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • acodex — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)
  • handoff — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (60%)

goutoujunshi alternative? Top 6 similar tools

Looking for a goutoujunshi alternative? If you're comparing goutoujunshi with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • OpenClawChineseTranslation by 1186258278 · ⭐ 3.8k

    🦞 OpenClaw (Clawdbot/Moltbot) 汉化版 - 开源个人 AI 助手中文版 | Claude/ChatGPT LLM 接入 | WhatsApp/Telegram/Discord 多平台 | 每

  • Claude-Code-x-OpenClaw-Guide-Zh by KimYx0207 · ⭐ 3.5k

    从零到企业实战:Claude Code 官方编程神器 + OpenClaw 224K Stars 开源AI助手 | 双顶流中文教程 | 21篇教程 130000+字

  • Auto-Empirical-Research-Skills by brycewang-stanford · ⭐ 3.0k

    🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. |

  • codex-autoresearch by leo-lilinxiao · ⭐ 2.0k

    Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify

  • Awesome-Agent-Skills-for-Empirical-Research by brycewang-stanford · ⭐ 1.2k

    🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. |

  • openclaw-docs by yeuxuan · ⭐ 738

    OpenClaw 中文文档站 | AI 智能体框架 源码剖析 安装教程 | WhatsApp Telegram Discord 飞书 多通道机器人

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular Python Agent Tools

Frequently Asked Questions

What is goutoujunshi?

goutoujunshi is 一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师,内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库,支持多元关系。. It is categorized as a Codex Skill with 863 GitHub stars.

What programming language is goutoujunshi written in?

goutoujunshi is primarily written in Python. It covers topics such as ai-agent, chinese, codex.

How do I install or use goutoujunshi?

You can find installation instructions and usage details in the goutoujunshi GitHub repository at github.com/powerycy/goutoujunshi. The project has 863 stars and 95 forks, indicating an active community.

What are the best alternatives to goutoujunshi?

The top alternatives to goutoujunshi on Agent Skills Hub include OpenClawChineseTranslation, Claude-Code-x-OpenClaw-Guide-Zh, Auto-Empirical-Research-Skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

View on GitHub → Browse Codex Skill tools