product-decision-agent

davila7/claude-code-templates · Agent Skill

Assists in product decision-making for the Chinese market, analyzing issues in planning, growth, monetization, and operations.

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Overview

Publisherdavila7Community
Repositorydavila7/claude-code-templates ↗
Skill folderproduct-decision-agent
Stars30,563
Bundled files1
LicenseMIT
Last updatedJuly 9, 2026
LinksSkill source ↗ · Repository ↗

Mozgi check

What we found in the skill files. Details come with a subscription.

Security
low risk · no obvious risks found — the full report shows the details
Compatibility
instructions only — works with most agents
Similar skills
133 similar skills found
Also with subscription

Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

Install the “product-decision-agent” skill from mozgi.io (https://mozgi.io/skills/product-decision-agent/) for me.

1. Download the archive: https://mozgi.io/skills/product-decision-agent/download
   If it fails, take the skill folder from the source: https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/business-marketing/product-decision-agent
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “product-decision-agent” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/product-decision-agent/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

Review the source files

1 file Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

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。

Frequently asked questions

What does the product-decision-agent skill do?

Assists in product decision-making for the Chinese market, analyzing issues in planning, growth, monetization, and operations.

How do I install product-decision-agent?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with product-decision-agent?

Skills are plain Markdown instructions (the Agent Skills format), so product-decision-agent works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is product-decision-agent free?

The skill is published openly by davila7 under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

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