product-naming

product-naming is a skill for Claude Code, Codex from yunshu0909/yunshu_skillshub. It costs 84 tokens per session (1,902 once invoked), scanned A, original, MIT.

A guided process for naming a product, project, or software module. It first clarifies the product’s purpose, users, tone, and limits, then develops and checks naming directions.

In plain words
What is it for?
Use it when naming a new product, project, or module. It helps explore naming strategies, compare their trade-offs, and check names against similar products.
Why use it?
It prevents choosing names at random or reviewing a long list without knowing what fits. It helps connect the name to the product’s identity and audience.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when naming a new product, project, or module. It helps explore naming strategies, compare their trade-offs, and check names against similar products.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yunshu0909/yunshu_skillshub/product-naming
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yunshu0909/yunshu_skillshub --skill product-naming
Clone the repo
git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for product-naming

README.md
[![agentmods](https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/product-naming/github.svg)](https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/product-naming)
Your own site
<a href="https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/product-naming"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/product-naming/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for product-naming

Your own site · 80×15
<a href="https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/product-naming"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/product-naming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,902 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.01902
Opus 5 $0.00042 $0.00951
Sonnet 5 $0.00017 $0.00380
Haiku 4.5 $0.00008 $0.00190

Measured 13d ago against content hash 63b363fd7f38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-naming scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

product-naming/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

用户想给产品、项目或模块起一个名字,但还没想好叫什么。通过结构化的协作流程,从产品本质出发推导名字,而不是直接列一堆候选词让用户挑。

核心原则

  • 先想清楚再起名 — 没有理解产品灵魂之前,绝不列候选名字
  • 名字是推导出来的,不是拼凑出来的 — 从产品定位、用户画像、品牌气质中自然推导
  • 给路线,不给列表 — 先让用户选命名方向,再在方向内发散具体名字
  • 用数据验证直觉 — 调研同赛道产品的命名规律,避免闭门造车
  • 不催不赶 — 名字是品牌的根基,值得花时间想清楚

工作流程

第 1 步:产品灵魂挖掘(不碰名字)

这一步的目标是理解产品的本质,而不是收集功能列表。

主动了解项目背景(读代码、读文档),然后向用户追问以下问题:

  1. 用户是谁? — 什么人在用?什么场景下用?使用频率?
  2. 产品本质 — 用一句话介绍这个产品是什么?(不是功能列表,是角色/定位/比喻)
  3. 产品边界 — 做什么、不做什么、未来往哪个方向长?
  4. 品牌气质 — 用户看到这个名字时,应该有什么第一反应?(专业/亲切/极客/轻松/...)
  5. 硬性约束 — 语言偏好?长度限制?需要避开的词?

关键:如果用户给出一个比喻(比如"像 Jarvis"),一定要深挖这个比喻背后的含义——它揭示的是用户对产品角色的想象。

禁止

  • 读完项目文档就开始列名字
  • 问一个问题就觉得够了,必须把以上问题都覆盖到
  • 把这些问题当表单一次性丢给用户,应该是自然对话

第 2 步:命名约束提取

从第 1 步的回答中提取:

  1. 关键词 — 从用户的描述中提炼核心语素(如:编程、助手、伙伴、工具、管理)
  2. 识别张力 — 用户的多个诉求之间是否存在矛盾?(如"要像人名一样有温度" vs "一眼看出跟编程有关")
  3. 明确优先级 — 如果有张力,哪个诉求优先?

向用户展示你的分析,确认理解无误。

示例:
你的核心诉求:
- ✅ 让人知道跟团队协作有关
- ✅ 轻松不严肃,不像企业软件
- ⚡ 这两个有张力:协作类名字容易显得"企业味重",轻松的名字又容易看不出用途

我的判断是"轻松感"优先,因为你要跟 Slack/钉钉竞争的是体验而非功能。对吗?

禁止:跳过分析直接出名字。这一步是从"感觉"到"逻辑"的关键桥梁。

第 3 步:路线发散

基于约束分析,推导出 2-4 条命名路线,每条路线代表一种不同的命名策略。

每条路线包含:

  • 路线名称 — 一句话概括这条路的思路
  • 2-3 个示意名字 — 让用户感受这个方向的味道
  • 优缺点 — 诚实说明每条路的利弊
示例:
路线 A:拟声/动作词
示意:Ping、Holler、Nudge
✅ 轻快、有画面感
❌ 不直接关联"站会"场景

路线 B:时间/节奏隐喻
示意:DayBeat、MorningSync、Cadence
✅ 暗示每日节奏,贴合站会频率
❌ 偏长,组合感强

路线 C:缩写/造词
示意:Stanly(standup + daily)、Asynco(async + co)
✅ 独特好注册
❌ 需要解释含义

禁止

  • 只给一条路线
  • 路线之间差异太小
  • 不说缺点,只说好话
  • 在这一步列超过 5 个具体名字/路线(让用户选方向,不是选名字)

第 4 步:用户选择方向

用户可以:

  • 直接选一条路线
  • 组合多条路线的元素("C 的直接 + A 的温度")
  • 全部否掉,补充新方向 → 回到第 3 步

选定方向后,在该方向内深挖 3-5 个具体候选名字,每个附带一句话解释。

禁止:用户选了方向之后还在其他方向上发散。聚焦。

第 5 步:竞品验证 + 命名策略

用户倾向某个名字后,做两件事:

5a. 竞品命名调研

搜索同赛道产品的命名规律:

  • 纯英文 / 中英文双品牌 / 纯中文,哪种多?
  • 名字长度?音节数?
  • 有没有撞名风险?
5b. 命名策略确认

基于调研结果,向用户建议:

  • 需要几个名字?(英文名 + 中文名?还是只要一个?)
  • 要不要 slogan?
  • 理由是什么?
示例:
调研发现同赛道的 Geekbot、Range、Standuply 都只用一个英文名。
建议:只用 Ping,不另起中文名。
理由:用户是开发团队,日常沟通已经用英文工具;一个音节最好记。
如果需要中文场景,加 slogan:"Ping — 轻拍一下,站会搞定"

Read the full file on GitHub · 174 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 174 lines · 84 tokens per session scan A 63b363fd7f38

Subscribe to this mod's changes

product-naming is a skill published in the GitHub repository yunshu0909/yunshu_skillshub (757 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,902 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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