Skill · em Marketing e negócio

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…

Procedência

Antes de instalar

8 arquivos · 71,5 KB · inclui 2 scripts que executam: scripts/quality_gate.py, scripts/test_quality_gate.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/product-decision-agent/.

d=".claude/skills/product-decision-agent"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/business-marketing/product-decision-agent"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "$u/LICENSE" \
  -o "$d/references/methodology-basis.md" "$u/references/methodology-basis.md" \
  -o "$d/references/product-playbooks.md" "$u/references/product-playbooks.md" \
  -o "$d/references/reasoning-engine.md" "$u/references/reasoning-engine.md" \
  -o "$d/references/response-examples.md" "$u/references/response-examples.md" \
  -o "$d/scripts/quality_gate.py" "$u/scripts/quality_gate.py" \
  -o "$d/scripts/test_quality_gate.py" "$u/scripts/test_quality_gate.py"

Global: instala em ~/.claude/skills/product-decision-agent/.

d="$HOME/.claude/skills/product-decision-agent"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/business-marketing/product-decision-agent"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "$u/LICENSE" \
  -o "$d/references/methodology-basis.md" "$u/references/methodology-basis.md" \
  -o "$d/references/product-playbooks.md" "$u/references/product-playbooks.md" \
  -o "$d/references/reasoning-engine.md" "$u/references/reasoning-engine.md" \
  -o "$d/references/response-examples.md" "$u/references/response-examples.md" \
  -o "$d/scripts/quality_gate.py" "$u/scripts/quality_gate.py" \
  -o "$d/scripts/test_quality_gate.py" "$u/scripts/test_quality_gate.py"

Codex

Neste projeto: instala em .agents/skills/product-decision-agent/.

d=".agents/skills/product-decision-agent"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/business-marketing/product-decision-agent"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "$u/LICENSE" \
  -o "$d/references/methodology-basis.md" "$u/references/methodology-basis.md" \
  -o "$d/references/product-playbooks.md" "$u/references/product-playbooks.md" \
  -o "$d/references/reasoning-engine.md" "$u/references/reasoning-engine.md" \
  -o "$d/references/response-examples.md" "$u/references/response-examples.md" \
  -o "$d/scripts/quality_gate.py" "$u/scripts/quality_gate.py" \
  -o "$d/scripts/test_quality_gate.py" "$u/scripts/test_quality_gate.py"

Global: instala em ~/.agents/skills/product-decision-agent/.

d="$HOME/.agents/skills/product-decision-agent"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/business-marketing/product-decision-agent"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "$u/LICENSE" \
  -o "$d/references/methodology-basis.md" "$u/references/methodology-basis.md" \
  -o "$d/references/product-playbooks.md" "$u/references/product-playbooks.md" \
  -o "$d/references/reasoning-engine.md" "$u/references/reasoning-engine.md" \
  -o "$d/references/response-examples.md" "$u/references/response-examples.md" \
  -o "$d/scripts/quality_gate.py" "$u/scripts/quality_gate.py" \
  -o "$d/scripts/test_quality_gate.py" "$u/scripts/test_quality_gate.py"

Antigravity

Neste projeto: instala em .agents/skills/product-decision-agent/.

d=".agents/skills/product-decision-agent"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/business-marketing/product-decision-agent"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "$u/LICENSE" \
  -o "$d/references/methodology-basis.md" "$u/references/methodology-basis.md" \
  -o "$d/references/product-playbooks.md" "$u/references/product-playbooks.md" \
  -o "$d/references/reasoning-engine.md" "$u/references/reasoning-engine.md" \
  -o "$d/references/response-examples.md" "$u/references/response-examples.md" \
  -o "$d/scripts/quality_gate.py" "$u/scripts/quality_gate.py" \
  -o "$d/scripts/test_quality_gate.py" "$u/scripts/test_quality_gate.py"

Global: instala em ~/.gemini/antigravity-cli/skills/product-decision-agent/.

d="$HOME/.gemini/antigravity-cli/skills/product-decision-agent"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/business-marketing/product-decision-agent"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "$u/LICENSE" \
  -o "$d/references/methodology-basis.md" "$u/references/methodology-basis.md" \
  -o "$d/references/product-playbooks.md" "$u/references/product-playbooks.md" \
  -o "$d/references/reasoning-engine.md" "$u/references/reasoning-engine.md" \
  -o "$d/references/response-examples.md" "$u/references/response-examples.md" \
  -o "$d/scripts/quality_gate.py" "$u/scripts/quality_gate.py" \
  -o "$d/scripts/test_quality_gate.py" "$u/scripts/test_quality_gate.py"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.product-decision-agent

Prévia do SKILL.md

---
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…
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。
…

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