ai-product-canvas
仓库创建 2026年1月29日最近提交 12 小时前SkillHot 收录 20 天前
▸ 精选理由
在早期对齐数据与模型假设,避免做出技术无用的功能
这个 Skill 做什么
构建包含数据、模型、评估与风控的 AI 产品画布
把 AI 产品设计拆成问题、数据、模型、评估、UX、负责 AI 风控和上线监控等模块,适合做 LLM 集成或 AI 功能规划时使用。会产出一张完整的 product canvas,把技术、数据和产品目标对齐并列出评估指标。着重避免做“技术好看但没解决问题”的功能。
▸ 展开 SKILL.md 英文原文
Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.
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给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/mohitagw15856/pm-claude-skills/main/skills/ai-product-canvas/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/mohitagw15856/pm-claude-skills/main/skills/ai-product-canvas/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# AI Product Canvas Skill Define AI products with the same rigour as any product decision — but with additional layers for data, model, evaluation, and responsible AI. This canvas prevents the most common AI product failure: building a technically impressive feature that doesn't solve a real problem. ## AI Product Anti-Patterns to Check First Before building, flag if any of these apply: - ❌ "We should add AI to [existing feature]" — with no user problem defined - ❌ Accuracy target undefined before build begins - ❌ No plan for what happens when the model is wrong - ❌ User-facing AI output with no human review or fallback - ❌ Training data not audited for bias or quality - ❌ No evaluation m
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