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Agent Skill · AI 工具

solution-scoping(解决方案范围)

solution-scoping 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。

solution-scoping 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证为 MIT,第三方扫描有提醒项,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,663。

总安装 539周安装 22GitHub Stars 4下载 174核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:solution-scoping(解决方案范围)
来源仓库:https://github.com/abhsin/designskills
仓库路径:skills/solution-scoping
安装命令:
npx skills add https://github.com/abhsin/designskills --skill solution-scoping
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/abhsin/designskills --skill solution-scoping

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

用于处理 GitHub 仓库、Issue 和 Pull Request 信息。适合在 AI 工具中围绕代码变更进行协作管理。通过 npx skills add 命令从 designskills 仓库安装。使用前建议确认权限范围和潜在的文件访问行为。

solution-scoping 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/solution-scoping

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/abhsin/designskills --skill solution-scoping;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

solution-scoping 怎么安装?

在终端执行 npx skills add https://github.com/abhsin/designskills --skill solution-scoping。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

solution-scoping 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

solution-scoping 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

solution-scoping 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

solution-scoping 用的人多吗?

公开数据是累计安装 539 次,近一周安装 22 次,下载 174 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

solution-scoping 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
solution-scoping

解决方案范围 · 本页

5394权限未标注MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Solution Scoping

Decide what to build first—and what to cut.

Why This Exists

Forces hard prioritization decisions before development starts, when cutting features is cheap.

Input Requirements

This skill works best with:

  • problem-framing output (problem statement, JTBD, assumptions)
  • user-modeling output (personas, scenarios, insights)

Can also work with a raw feature list if the user has one.

Workflow

Step 1: Gather Context

Ingest upstream artifacts or ask:

  • What problem are you solving?
  • Who are you solving it for?
  • What features are you considering?
  • Any constraints—time, budget, skills?

Step 2: Generate Feature List

If not provided, brainstorm features based on:

  • User jobs-to-be-done
  • Persona pain points
  • Scenarios from user modeling
  • Competitor features (if known)

Keep it exhaustive initially—we'll cut later.

Step 3: Apply Prioritization

Use one or more frameworks to force ranking:

Impact vs Effort Matrix

  • High impact, low effort → Do first
  • High impact, high effort → Plan carefully
  • Low impact, low effort → Maybe later
  • Low impact, high effort → Cut

MoSCoW Method

  • Must have — Product doesn't work without it
  • Should have — Important but not critical
  • Could have — Nice to have
  • Won't have — Explicitly out

User Value Filter For each feature, ask:

  • Does it solve the core problem?
  • Which persona needs it most?
  • What happens if we ship without it?

Step 4: Define MVP Boundary

Draw a hard line:

  • What's in the first release?
  • What's deferred to v1.1?
  • What's cut entirely?

The MVP should be the *smallest thing that tests your core assumption*.

Step 5: Validate Cuts

For each cut, confirm:

  • Can the product still solve the core problem?
  • Will users still get value?
  • Are we cutting for good reasons or fear?

Output Format

Automatically save the output to design/04-solution-scoping.md using the Write tool while presenting it to the user.

# Solution Scoping: [Project Name]

## Context
[Brief summary of the problem and target user]

**Core assumption to test:**
[The main bet this MVP validates]

**Constraints:**
- Timeline: [If any]
- Budget: [If any]
- Skills: [Technical limitations]
- Other: [Platform, dependencies, etc.]

---

## Feature Inventory

### All Considered Features
| # | Feature | User Value | Effort | Notes |
|---|---------|------------|--------|-------|
| 1 | [Feature] | [High/Med/Low] | [High/Med/Low] | [Context] |
| 2 | [Feature] | [High/Med/Low] | [High/Med/Low] | [Context] |
| 3 | [Feature] | [High/Med/Low] | [High/Med/Low] | [Context] |
| 4 | [Feature] | [High/Med/Low] | [High/Med/Low] | [Context] |
| 5 | [Feature] | [High/Med/Low] | [High/Med/Low] | [Context] |

---

## Prioritization

### Must Have (MVP)
*Product doesn't work without these*

| Feature | Rationale |
|---------|-----------|
| [Feature] | [Why it's essential] |
| [Feature] | [Why it's essential] |
| [Feature] | [Why it's essential] |

### Should Have (v1.1)
*Important, but MVP can ship without them*

| Feature | Rationale | Dependency |
|---------|-----------|------------|
| [Feature] | [Why it's important] | [What it needs first] |
| [Feature] | [Why it's important] | [What it needs first] |

### Could Have (Future)
*Nice to have, low priority*

| Feature | Rationale |
|---------|-----------|
| [Feature] | [Why it's deferred] |
| [Feature] | [Why it's deferred] |

### Won't Have (Cut)
*Explicitly out of scope*

| Feature | Reason for Cut |
|---------|----------------|
| [Feature] | [Why we're not building this] |
| [Feature] | [Why we're not building this] |

---

## MVP Definition

### What We're Building
[2-3 sentence description of the MVP]

### Core User Flow
[The one primary flow the MVP enables]
1. User [action]
2. System [response]
3. User [achieves goal]

### What Success Looks Like
- [Metric or outcome 1]
- [Metric or outcome 2]

### What We're NOT Building (Yet)
- [Explicit cut 1]
- [Explicit cut 2]
- [Explicit cut 3]

---

## Risk Check

### Cuts That Might Hurt
| Cut | Risk | Mitigation |
|-----|------|------------|
| [Feature we cut] | [What could go wrong] | [How we'll handle it] |

### Scope Creep Triggers
*Watch out for these during development*
- [Temptation 1]
- [Temptation 2]

---

## Open Questions
- [Decision still needed]
- [Assumption to validate before committing]

Prioritization Tips

When everything feels "Must Have":

  • Ask: "Would users pay for this feature alone?"
  • Ask: "Can users accomplish their goal without it?"
  • Ask: "What's the workaround if we don't build it?"

When you can't decide:

  • Default to smaller scope
  • Ship, learn, then add
  • A shipped MVP beats a perfect spec

When stakeholders push back on cuts:

  • Frame as "not yet" not "never"
  • Show the dependency chain
  • Remind: we can add, but we can't un-ship

Anti-Patterns to Avoid

  • The Feature Buffet — "Let's just add one more thing"
  • The Safety Blanket — Keeping features because cutting feels scary
  • The Competitor Copy — Including features just because others have them
  • The Premature Scale — Building for 10,000 users when you have 10

Handoff

After presenting the scoped MVP, ask:

"Ready to generate the PRD with /prd-generation, or want to adjust priorities first?"

Note: File is automatically saved to design/04-solution-scoping.md. This feeds into PRD generation (Must Have → MVP features, Should Have → v1.1 roadmap, Won't Have → Out of Scope).

平台分布

Claude Code

32.37%
按下载量换算56

Gemini CLI

21.86%
按下载量换算38

Antigravity

18.52%
按下载量换算32

Codex

12.81%
按下载量换算22

OpenCode

7.42%
按下载量换算13

windsurf

3.78%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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