recommendation-canvas

仓库创建 2026年2月5日最近提交 9 天前SkillHot 收录 20 天前
▸ 精选理由

并列评估价值与 AI 特有风险,便于向决策者做出防护性论证。

这个 Skill 做什么

用结构化画布评估 AI 产品的成果、假设、风险与定位,支持投资或推荐决策。

用结构化画布评估一个 AI 产品是否值得投或推荐:从业务/用户产出、假设与证据、风险、定位到价值论证逐项分析,形成可以和决策者沟通的建议。当需要判断某个 AI 功能或产品是否可行、是否值得资源投入时用它,尤其适合不确定性高的项目。特色是把模糊想法拆成可检验的假设和风险点,方便做可复现的投资决策或推荐报告。

▸ 展开 SKILL.md 英文原文

Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning. Use when deciding whether an AI solution deserves investment or recommendation.

Skill 开发管理AI产品评估画布风险/定位通用
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安装 / 使用
给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/deanpeters/Product-Manager-Skills/main/skills/recommendation-canvas/SKILL.md
或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/deanpeters/Product-Manager-Skills/main/skills/recommendation-canvas/SKILL.md"
SKILL.MD 节选查看完整文件 ↗
## Purpose
Evaluate and propose AI product solutions using a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, risks, and value justification. Use this to build a comprehensive, defensible recommendation for stakeholders and decision-makers—especially when proposing AI-powered features or products that carry higher uncertainty and risk.

This is not a feature spec—it's a strategic proposal that articulates *why* this AI solution is worth building, *what* assumptions need validating, and *how* you'll measure success.

## Input

**Works best with:** The AI product or feature idea being evaluated.
**Also useful:** Target cus
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