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feature-prioritization功能优先级

Agent Skill

feature-prioritization 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

570

周安装

24

GitHub Stars

33

下载量

372
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:feature-prioritization(功能优先级)
来源仓库:https://github.com/assimovt/productskills
仓库路径:skills/feature-prioritization
安装命令:
npx skills add https://github.com/assimovt/productskills --skill feature-prioritization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/assimovt/productskills --skill feature-prioritization

简介

feature-prioritization 使用 RICE 评分模型量化功能价值,减少主观判断偏差。

  • 适用于多项目并行时的资源分配与路线图排序。feature-prioritization 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • RICE 四维度:覆盖人数、影响力、信心度与投入成本。
  • 配合阻塞/促进者视角,确保不忽略关键障碍项。
  • 建议定期重新评分,随市场变化动态调整优先级。

SKILL.md

Prioritize with math, not opinions. RICE scoring forces explicit tradeoffs. The enabler/blocker lens from Linear ensures you're not just building fun things while adoption barriers remain.

RICE Scoring

Score every candidate feature on four dimensions:

  • Reach: How many users/accounts will this affect in a set time period? Use real numbers from analytics, not gut feel. "500 users/quarter" not "a lot."
  • Impact: How much will this move the target metric per user? Score 0.25 (minimal), 0.5 (low), 1 (medium), 2 (high), 3 (massive). Be honest — most features are a 1.
  • Confidence: How sure are you about Reach and Impact? 100% = hard data. 80% = strong evidence. 50% = gut feel. NEVER score 100% without quantitative data.
  • Effort: Person-weeks of work. Include design, engineering, QA, and any cross-team coordination. Round up.

RICE = (Reach x Impact x Confidence) / Effort

Example: SSO — Reach: 500 users/qtr, Impact: 2 (high — unlocks enterprise deals), Confidence: 80%, Effort: 4 person-weeks. RICE = (500 x 2 x 0.8) / 4 = 200. Tag: Blocker.

Rank by score. The math won't be perfect, but it forces you to justify each dimension.

Enablers vs Blockers (Linear)

After RICE scoring, classify each feature:

  • Blocker: Removes a barrier to adoption or retention. Users are churning, stuck, or can't even start because this is missing. Examples: missing SSO for enterprise deals, broken mobile experience, no data export.
  • Enabler: Delights existing users or deepens engagement. Users are already successful but this makes them more so. Examples: keyboard shortcuts, advanced filters, integrations.

Rule: Prioritize blockers over enablers when growing. Removing friction > adding delight when you're trying to grow. Flip this when retention is strong but engagement is flat.

Running a Prioritization Session

  1. List all candidates with a one-sentence description
  2. Score each on R, I, C, E independently — don't anchor on each other
  3. Calculate RICE scores and rank
  4. Tag each as Blocker or Enabler
  5. Check: are any Blockers ranked below Enablers? Justify or re-rank.
  6. Top 3-5 items = your next cycle

Guidelines

  • ALWAYS show the math. A prioritization without visible scores is just an opinion list.
  • NEVER let Confidence = 100% without hard data (analytics, A/B test results, or customer commit).
  • ALWAYS separate enablers from blockers before finalizing the rank.
  • NEVER prioritize more than one cycle at a time. The world changes. Re-score next cycle.
  • CRITICAL: If two items are within 20% RICE score of each other, they're effectively tied. Use the blocker/enabler lens to break ties, or pick the one with higher Confidence.

*Built on Intercom's RICE framework and the Linear Method. Skills from productskills.*

适合场景

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02

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能力概览

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.55%
按下载量换算140

Claude

31.39%
按下载量换算117

Cursor

18.44%
按下载量换算69

Gemini CLI

9.06%
按下载量换算34

安全审计

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通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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