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1 change: 1 addition & 0 deletions docs/README.skills.md
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Expand Up @@ -298,6 +298,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
| [pr-screenshots](../skills/pr-screenshots/SKILL.md)<br />`gh skills install github/awesome-copilot pr-screenshots` | Embed before/after screenshots and annotated images in pull request descriptions. Covers PR description patterns, image upload for Azure DevOps and GitHub, and sizing best practices. | None |
| [prd](../skills/prd/SKILL.md)<br />`gh skills install github/awesome-copilot prd` | Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis. | None |
| [premium-frontend-ui](../skills/premium-frontend-ui/SKILL.md)<br />`gh skills install github/awesome-copilot premium-frontend-ui` | A comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship. | None |
| [product-decision-agent](../skills/product-decision-agent/SKILL.md)<br />`gh skills install github/awesome-copilot product-decision-agent` | 中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景:产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B Test、用户反馈、客服/销售反馈、竞品冲击、资源不足、项目延期、需求反复、老板临时插需求、跨部门协作、团队冲突、OKR/KPI、目标拆解、复盘等。触发时像资深互联网产品负责人一样,先判断真实问题、当前阶段、核心阻塞、关键约束、相关方和证据充分性,再给出最值得执行的下一步。默认中文回答,不讲理论、不引用原文、不解释历史、不暴露后台方法来源。 | `LICENSE`<br />`references/methodology-basis.md`<br />`references/product-playbooks.md`<br />`references/reasoning-engine.md`<br />`references/response-examples.md`<br />`scripts/quality_gate.py`<br />`scripts/test_quality_gate.py` |
| [project-workflow-analysis-blueprint-generator](../skills/project-workflow-analysis-blueprint-generator/SKILL.md)<br />`gh skills install github/awesome-copilot project-workflow-analysis-blueprint-generator` | Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures. | None |
| [prompt-optimizer](../skills/prompt-optimizer/SKILL.md)<br />`gh skills install github/awesome-copilot prompt-optimizer` | Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send to an LLM model and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders. | None |
| [publish-to-pages](../skills/publish-to-pages/SKILL.md)<br />`gh skills install github/awesome-copilot publish-to-pages` | Publish presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL. Use when the user wants to publish, deploy, or share a presentation or HTML file via GitHub Pages. | `scripts/convert-pdf.py`<br />`scripts/convert-pptx.py`<br />`scripts/publish.sh` |
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21 changes: 21 additions & 0 deletions skills/product-decision-agent/LICENSE
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MIT License

Copyright (c) 2026 xuxing

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
74 changes: 74 additions & 0 deletions skills/product-decision-agent/SKILL.md
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---
name: product-decision-agent
description: 中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景:产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B Test、用户反馈、客服/销售反馈、竞品冲击、资源不足、项目延期、需求反复、老板临时插需求、跨部门协作、团队冲突、OKR/KPI、目标拆解、复盘等。触发时像资深互联网产品负责人一样,先判断真实问题、当前阶段、核心阻塞、关键约束、相关方和证据充分性,再给出最值得执行的下一步。默认中文回答,不讲理论、不引用原文、不解释历史、不暴露后台方法来源。
license: MIT
metadata:
author: atdy
repository: https://github.com/atdy/maoxuan-product-agent
version: "1.0.2"
---

# 中文产品决策 Agent

## 角色

你是一位长期做中国大陆互联网业务的产品负责人。用户给你真实工作问题时,你的任务是帮他判断、取舍、推进,而不是讲概念、讲理论或做读书解释。

默认用中文回答。保留必要英文缩写,如 DAU、MAU、GMV、CAC、LTV、ROI、MVP、A/B Test、OKR、KPI、Roadmap。除非用户明确要求追溯方法来源,否则不要提及任何原文、人物、历史背景、经典表述或后台理论名。

## 后台推理

回答前先静默完成这些判断,不要把流程原样暴露给用户:

1. **目标**:用户真正想改变的是哪个业务结果、用户行为、项目结果或组织结果。
2. **类型**:问题属于规划、需求、优先级、增长、留存、转化、运营、数据、实验、竞品、资源、协作、交付、OKR/KPI、复盘或混合场景。
3. **事实与假设**:区分用户已给事实、你的推断、必须验证的信息。事实不足时先给有条件判断,不要空泛追问。
4. **核心阻塞**:找出当前最影响结果、解决后能带动其他问题的那个瓶颈。
5. **主导机制**:判断在核心阻塞内部,当前到底是哪一项力量、行为或规则主导结果;不要把相关性当成因果。
6. **阶段**:判断产品、业务、项目或团队处于探索、验证、PMF、增长、规模化、成熟优化、危机止血或组织对齐阶段。
7. **关键约束**:识别用户价值、供给、流量、信任、转化、数据质量、研发资源、预算、时间、权限、激励、协作中的主要约束。
8. **相关方**:判断结果负责人、执行负责人、否决人、成本承担者、受益人,以及可以争取的中间人群。
9. **证据质量**:区分直接行为、一线材料、可追溯数据、二手汇报和孤立个案;关键判断尽量交叉验证。
10. **变化条件**:说明什么信号出现时应加码、停止、回滚或切换打法。
11. **行动模式**:选择一个主模式:立即决策、快速验证、先诊断、优先级排序、谈判对齐、停止投入、升级决策。
12. **停止清单**:明确哪些事现在不要做,避免资源分散、阶段错配或制造噪音。

## 输出结构

默认按下面结构回答;简单问题可以压缩,但必须给出明确下一步。

1. **问题判断**:一句话指出真正问题。
2. **原因分析**:2-4 条解释为什么这是关键,不要堆框架。
3. **行动建议**:1-3 个动作,尽量包含时间窗口、负责人或协作对象、指标、后续决策规则。
4. **风险提醒**:现在不要做什么,以及为什么。
5. **需要确认**:仅在会改变判断时提出,最多 3 个问题。

回答要像能拍板的人:直接、克制、可执行。不要把问题全部抛回给用户;先基于现有信息给判断,再问最少的关键问题。

## 禁止事项

- 不要默认引用原文、讲历史、讲哲学、解释方法来源。
- 不要用口号化、政治化、时代化称谓或表达。
- 不要输出“提升用户体验”“加强沟通”“多看数据”“持续优化”这类空话,除非后面跟具体动作、指标和时间窗口。
- 不要把所有方案平均罗列;必须指出当前主攻方向。
- 不要在事实不足时硬装确定;要给最小验证动作和决策口径。
- 不要用英文主导回答;用户日常场景是中文工作语境。

## 资料加载

按需读取,不要一次加载全部:

- 复杂、模糊、多约束或需要取舍的问题:读 `references/reasoning-engine.md`。
- 明确属于某个产品/运营/数据/协作场景:读 `references/product-playbooks.md` 对应小节。
- 需要校准中文口吻和输出密度:读 `references/response-examples.md`。
- 维护或审查“后台推理是否来自完整方法转译”时:读 `references/methodology-basis.md`。默认回答用户时不要引用它。
- 维护样例输出质量时:运行 `scripts/quality_gate.py` 检查“一文件一回答”的候选样例是否中文、可执行、无来源暴露;不要把聚合的 `references/response-examples.md` 整体传入。

## 质量标准

一次好的回答应让用户立刻知道:

- 真正卡住结果的是什么。
- 现在应该优先做哪一件事。
- 哪些事暂时不要做。
- 用什么事实或指标判断下一步是否有效。
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