product-designer

product-designer is a skill for Claude Code, Codex from miniidealab/openlogos. It costs 0 tokens per session (2,805 once invoked), scanned A, original, Apache-2.0.

A product-design workflow that turns requirements into interaction details and prototypes suited to the product type, such as a web app, command-line tool, library, or conversational product.

In plain words
What is it for?
Use it to organize information architecture, design user or command flows, write feature specifications, create prototypes, and split overly large scenarios into smaller ones.
Why use it?
It helps turn broad scenarios into concrete screens, commands, APIs, conversation flows, and testable acceptance conditions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit Use it to organize information architecture, design user or command flows, write feature specifications, create prototypes, and split overly large scenarios into smaller ones.

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Install with agentmods
npx agentmods add skills/miniidealab/openlogos/product-designer
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 miniidealab/openlogos --skill product-designer
Clone the repo
git clone --depth 1 https://github.com/miniidealab/openlogos

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-designer

README.md
[![agentmods](https://agentmods.dev/badge/skills/miniidealab/openlogos/product-designer.svg)](https://agentmods.dev/skills/miniidealab/openlogos/product-designer)
Your own site
<a href="https://agentmods.dev/skills/miniidealab/openlogos/product-designer"><img src="https://agentmods.dev/badge/skills/miniidealab/openlogos/product-designer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,805 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 $0.00000 $0.02805
Opus 5 $0.00000 $0.01403
Sonnet 5 $0.00000 $0.00561
Haiku 4.5 $0.00000 $0.00281

Measured 8d ago against content hash 560ef5429e27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

product-designer 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 8d 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.

examples/flowtask/logos/skills/product-designer/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Product Designer

基于 Phase 1 需求文档中的场景,细化交互流程和功能规格,生成产品原型。原型形式根据产品类型自动适配(Web/CLI/Library 等)。场景编号与 Phase 1 保持一致。

触发条件

  • 用户要求写产品设计文档或功能规格
  • 用户要求画原型或设计交互
  • 用户提到 "Phase 2"、"产品设计层"、"WHAT"
  • 已有需求文档(含场景定义),需要开始设计解决方案

核心能力

  1. 识别产品类型,确定对应的原型形式(见下方产品类型与原型策略)
  2. 设计信息架构(页面结构 / 命令结构 / API 结构)
  3. 以 Phase 1 场景为骨架,细化交互流程和功能规格
  4. 为每个场景补充交互级 GIVEN/WHEN/THEN 验收条件
  5. 生成适合产品类型的原型
  6. 当场景粒度过大时,拆分为子场景(S01.1, S01.2

产品类型与原型策略

执行本 Skill 前,先判断产品类型(可从需求文档的约束与边界、logos-project.yamltech_stack 推断),选择对应的原型形式:

产品类型 典型特征 原型形式 交互规格重点
Web 应用 有 UI 页面、用户登录 HTML 可交互页面 页面流转、表单校验、状态变化
CLI 工具 终端命令、无 GUI 终端交互示例(命令 + 输出模拟) 命令格式、参数设计、输出格式、错误提示
AI Skills / 对话式产品 用户通过自然语言与 AI 交互 对话流程图 + 示例对话脚本 对话步骤、AI 提问策略、产出物格式
库 / SDK 被其他程序调用 API 使用示例(代码片段) 公开接口、参数设计、返回值、错误码
移动应用 手机端 UI HTML 页面(移动视口) 手势交互、导航模式、离线状态
混合型 多种交付物组合 按交付物分别选择对应形式 各交付物间的交互衔接

执行步骤

Step 1: 读取需求文档,识别产品类型

读取 Phase 1 需求文档,提取:

  • 场景清单(S01, S02...)及优先级
  • 约束与边界 → 判断产品类型
  • logos-project.yamltech_stack → 确认技术形态

场景粒度检查:在阅读场景列表时,留意场景是否实际上是单个 CRUD 操作(如"创建任务"、"获取任务列表"、"更新任务"、"删除任务"作为 4 个独立场景)。如果发现此模式,建议回到 Phase 1 按业务目标重新组织场景,再进行产品设计。为 CRUD 级别的"场景"设计交互规格只会产出浅层规格,无法反映真实的用户工作流。

输出产品类型判断和原型策略选择理由。

Step 2: 设计信息架构

根据产品类型设计不同层面的架构:

  • Web 应用:页面结构、导航层级、路由设计
  • CLI 工具:命令树结构、子命令层级、全局选项
  • AI Skills:Skill 触发关系、对话步骤编排、产出物依赖链
  • 库 / SDK:模块结构、公开 API 分组

Step 3: 逐场景细化交互规格

为每个场景定义完整的交互细节(格式见下方示例)。不同产品类型侧重不同的交互维度。

Step 4: 补充交互级验收条件

在 Phase 1 的 GIVEN/WHEN/THEN 基础上,细化到交互元素级别。

Step 5: 生成原型

根据产品类型生成对应形式的原型(见示例)。

Step 6: 输出产品设计文档

按场景组织,每个场景包含交互规格 + 对应原型。

场景展开示例

Web 应用示例

### S01: 邮箱注册 — 交互规格

**涉及页面**:注册页、邮件验证等待页、验证成功页

**交互流程**:
1. 用户在首页点击「注册」→ 跳转注册页
2. 注册页包含:邮箱输入框、密码输入框、确认密码输入框、注册按钮
3. 实时校验:邮箱格式、密码长度 ≥ 8、两次密码一致
4. 提交成功 → 跳转邮件验证等待页

#### 验收条件(交互级)

##### 正常:成功注册
- **GIVEN** 用户在注册页面,所有字段为空
- **WHEN** 用户填写 [email protected]、密码 "Pass1234"、确认密码 "Pass1234",点击「注册」按钮
- **THEN** 「注册」按钮变为 loading 状态,1-3 秒后跳转到邮件验证等待页

Read the full file on GitHub · 231 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. 8d ago First seen · 231 lines · 0 tokens per session scan A 560ef5429e27

Subscribe to this mod's changes

product-designer is a skill published in the GitHub repository miniidealab/openlogos (72 stars, last pushed 11d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,805 tokens. 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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