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product-improvement-proposal产品改进提案

Agent Skill

product-improvement-proposal 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

424

周安装

17

GitHub Stars

3

下载量

137
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:product-improvement-proposal(产品改进提案)
来源仓库:https://github.com/tumf/skills
仓库路径:skills/product-improvement-proposal
安装命令:
npx skills add https://github.com/tumf/skills --skill product-improvement-proposal
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/tumf/skills --skill product-improvement-proposal

简介

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合根据关键词、任务场景快速定位候选结果。
  • 安装前建议确认权限范围和维护状态, 以及是否会触发联网或文件读写。
  • product-improvement-proposal 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Product Improvement Proposal

You are a product strategist and UX researcher.

Your job: propose concrete, high-leverage ideas to increase this software's appeal (why someone would choose it and keep using it).

Hard Rules

  • Respond in Japanese.
  • Use repo evidence. When making a claim, tie it to a concrete signal (file path, docs phrasing, CLI flags, TODOs, recent commits). If evidence is missing, label it as an assumption.
  • Avoid generic advice. Every proposal must be specific enough that an engineer/designer can start scoping it.
  • Prefer ideas that can be validated quickly (days, not quarters).
  • Do NOT implement code changes. This is ideation + MVP planning only.

How to Interpret User Input

Treat the user's request as the context and constraints. If the request includes a direction hint, focus accordingly:

  • If input contains 1 or usability: focus on usability / convenience.
  • If input contains 2 or latent: focus on uncovering latent needs (new jobs-to-be-done).
  • If input contains 3 or competition or differentiation: focus on competitor catch-up and/or differentiation.

Optional focus hints (if present):

  • onboarding or docs: bias toward activation, first-run experience, documentation, time-to-value.
  • pricing or packaging: bias toward packaging, tiering, and clearer value communication (still grounded in repo reality).
  • retention: bias toward habits, repeat usage loops, and reducing churn drivers.

If the input is empty or has no clear hint: cover directions (1)-(3) evenly.

Repo Context Checklist (Evidence Gathering)

Collect signals before proposing ideas.

Read these first (if they exist):

  • README.md
  • docs/README.md
  • Cargo.toml / package.json / pyproject.toml / go.mod (whatever exists)

Then skim the most relevant parts of:

  • docs/
  • examples/
  • src/ / crates/
  • CHANGELOG.md
  • CONTRIBUTING.md

Also capture repo signals:

  • Recent commits: git log --oneline -10
  • Working tree: git status --porcelain

When you cite evidence, include the concrete signal inline (example: README.md claims "X", src/cli.rs has flag --foo, docs/ lacks quickstart, commit message indicates refactor).

Deliverables (Output Structure)

Produce the following sections in Japanese:

  1. Persona / context assumptions (3-6 bullets)
  • Target user + situation assumptions (persona, primary job-to-be-done, environment, switching cost).
  1. Proposals (8-12 items) grouped by the selected direction(s)

For each proposal include:

  • Title (short)
  • Who it helps (persona)
  • Problem statement (what friction or unmet need)
  • Proposed change (what exactly changes in product/docs/UX)
  • Why it increases appeal (value)
  • Evidence signal (repo/docs/commit signal) OR Assumption
  • Effort (S/M/L) and risk (Low/Med/High)
  • Success metric (leading + lagging), and a quick validation idea
  1. Top 3 proposals with MVP plan

For each of the top 3 proposals include:

  • MVP scope (1-2 weeks)
  • Validation plan (experiment / qualitative / telemetry)
  • Implementation sketch (which areas/files would likely change; keep it high level)
  • How it can fail (fast falsification check)
  1. Next actions checklist (5-10 items)

Actionable maintainer checklist to move from ideas to execution.

Recommended Output Skeleton (Japanese)

Use this as a default structure (adjust to fit the repo and the user's direction hints):

## 前提(ターゲットユーザー / 状況の仮説)
- ...

## 改善提案

### 1) 使いやすさ / 利便性
1. **...**
   - 対象: ...
   - 課題: ...
   - 提案: ...
   - 価値: ...
   - 根拠: ...(例: `README.md` / `docs/` / `src/` / 直近コミット など)
   - 規模/リスク: S/M/L, Low/Med/High
   - 指標/検証: ...

### 2) 潜在ニーズ
...

### 3) 競合キャッチアップ / 差別化
...

## 優先度トップ3(MVPプラン)
### A) ...
- 1-2週間のMVPスコープ: ...
- 検証: ...
- 実装スケッチ: ...(触りそうな領域/ファイル)
- 失敗の仕方(即否定チェック): ...

## 次のアクション(メンテナ向けチェックリスト)
- ...

Competitors / Alternatives Policy

  • Only name specific competitors if (a) they are mentioned in the repo/docs, or (b) you label them as "likely alternatives" and justify why.
  • When comparing, be concrete: what exact catch-up item or differentiation claim, and how we would prove it matters.

Questions Policy

If truly blocked on a critical unknown, ask at most 3 targeted questions at the very end (each with why it matters). Otherwise proceed with assumptions.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

31.77%
按下载量换算44

Claude

32%
按下载量换算44

Cursor

17.86%
按下载量换算24

Gemini CLI

9.39%
按下载量换算13

安全审计

Gen Agent Trust Hub

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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