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文件来源已核对 · MIT

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prioritize-features

功能优先级

根据影响、投入、风险与目标,为功能清单排序。

适用环境与依赖
提供目标、候选功能、投入估计与用户反馈。
练习请求
使用 prioritize-features,对课程收藏、资源搜索、作品发布排序,列出取舍理由。
文件与版本
1 个原始文件 · 6 KB · 查看固定版本来源 ↗
如何使用这份分享
  1. 把当前页面链接分享给需要这项技能的人。
  2. 打开“查看原文”,先阅读技能的触发条件、边界和示例。
  3. 复制技能正文,粘贴到支持 Skills 的 AI 客户端或你的工作说明中。
  4. 带脚本的技能需先满足上方依赖;具体要求见原文。

Prioritize Feature Backlog

Evaluate and rank a backlog of feature ideas to identify the top 5 to pursue.

Context

You are helping prioritize features for $ARGUMENTS.

If the user provides files (spreadsheets, backlogs, opportunity assessments), read and analyze them directly.

Domain Context

For framework selection guidance, see the prioritization-frameworks skill. Key recommendations:

Opportunity Score (Dan Olsen, The Lean Product Playbook) is recommended for evaluating customer problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. High Importance + low Satisfaction = best opportunities. Prioritize problems (opportunities), not solutions.

ICE is recommended for quick scoring of initiatives: Impact (Opportunity Score × # Customers) × Confidence × Ease. RICE adds Reach as a separate factor for larger teams.

Instructions

The user will describe their product objective, desired outcomes, and provide feature ideas. Work through these steps:

  1. Understand priorities: Confirm the product objective and success metrics.

  2. Evaluate each feature against: - Impact: How much does it move the needle on desired outcomes? Consider Opportunity Score if customer data is available. - Effort: How much development, design, and coordination is required? - Risk: How much uncertainty exists? What assumptions need testing? - Strategic alignment: How well does it fit the product vision and current goals?

  3. Recommend the top 5 features with: - Clear ranking (1-5) - Brief rationale for each selection - Key trade-offs considered - What was deprioritized and why

  4. Present as a prioritization table if helpful.

Think step by step. Save as markdown if the output is substantial.


Further Reading

查看原始 SKILL.md
---
name: prioritize-features
description: "Prioritize a backlog of feature ideas based on impact, effort, risk, and strategic alignment with top 5 recommendations. Use when prioritizing a feature backlog, making scope decisions, or ranking product ideas."
---

## Prioritize Feature Backlog

Evaluate and rank a backlog of feature ideas to identify the top 5 to pursue.

### Context

You are helping prioritize features for **$ARGUMENTS**.

If the user provides files (spreadsheets, backlogs, opportunity assessments), read and analyze them directly.

### Domain Context

For framework selection guidance, see the `prioritization-frameworks` skill. Key recommendations:

**Opportunity Score** (Dan Olsen, *The Lean Product Playbook*) is recommended for evaluating customer problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. High Importance + low Satisfaction = best opportunities. Prioritize **problems (opportunities)**, not solutions.

**ICE** is recommended for quick scoring of initiatives: Impact (Opportunity Score × # Customers) × Confidence × Ease. **RICE** adds Reach as a separate factor for larger teams.

### Instructions

The user will describe their product objective, desired outcomes, and provide feature ideas. Work through these steps:

1. **Understand priorities**: Confirm the product objective and success metrics.

2. **Evaluate each feature** against:
   - **Impact**: How much does it move the needle on desired outcomes? Consider Opportunity Score if customer data is available.
   - **Effort**: How much development, design, and coordination is required?
   - **Risk**: How much uncertainty exists? What assumptions need testing?
   - **Strategic alignment**: How well does it fit the product vision and current goals?

3. **Recommend the top 5 features** with:
   - Clear ranking (1-5)
   - Brief rationale for each selection
   - Key trade-offs considered
   - What was deprioritized and why

4. **Present as a prioritization table** if helpful.

Think step by step. Save as markdown if the output is substantial.

---

### Further Reading

- [Kano Model: How to Delight Your Customers Without Becoming a Feature Factory](https://www.productcompass.pm/p/kano-model-how-to-delight-your-customers)
- [The Product Management Frameworks Compendium + Templates](https://www.productcompass.pm/p/the-product-frameworks-compendium)
- [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)
SHA-256

ZIP: bfd696eecad33dfc49cca3a16a271b0279dd6e5a22de8cf35f49fba171e76da0

SKILL.md: d05c001ea9d71ccf6aca975e0530a2a85545192b1eec9e06cc6d1339156c0f87

Commit: 2a12295a7717569baa7be181b4cfebe3ca38a6bb

使用说明

这里用于分享和阅读真实 Skills。打开链接即可查看,复制正文即可带到支持 Skills 的 AI 客户端中使用。

先在上方选择具体技能,阅读原始 SKILL.md 和参考文件,再使用分享链接、复制正文或收藏。本站提供阅读、分享和复制,不在网页里调用模型。

以 Claude Code 为例:复制正文后可粘贴到支持 Skills 的 AI 客户端或你的工作说明中。带脚本的条目需要按原文检查依赖。实际执行取决于你的客户端、模型、权限、输入和依赖。

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