Token导航 LogoToken导航TokenDH.com
待分类只读github未标认证来源可访问许可证需确认审计通过

domain-glossary领域术语表

Agent Skill

domain-glossary 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

212

周安装

9

GitHub Stars

6

下载量

74
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:domain-glossary(领域术语表)
来源仓库:https://github.com/kambleakash0/agent-skills
仓库路径:skills/domain-glossary
安装命令:
npx skills add https://github.com/kambleakash0/agent-skills --skill domain-glossary
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/kambleakash0/agent-skills --skill domain-glossary

简介

domain-glossary 将对话中的领域术语转化为统一的 Ubiquitous Language 文档。

  • 适用于消除“account”“user”“customer”等词汇歧义,建立共享语言。
  • 自动扫描术语、解析冲突并写入 DOMAIN_GLOSSARY.md 持续演进。
  • 支持多次调用以随对话深化术语定义与关系梳理。
  • 建议团队定期回顾 glossary 确保所有成员使用一致术语。

SKILL.md

Ubiquitous Language Glossary

This skill turns an ongoing conversation into a DDD-style ubiquitous language document. It scans for domain terms, resolves ambiguities, proposes canonical names, and writes a living glossary to DOMAIN_GLOSSARY.md in the working directory.

When to Use

Use this skill when:

  • You’re discussing a domain, feature, product, or system and want shared language.
  • You mention “ubiquitous language”, “domain model”, or “DDD”.
  • You keep tripping over overloaded terms (“account”, “user”, “customer”) and want them nailed down.

You can re-run this skill as the conversation evolves to keep the glossary up to date.

Process

  1. Scan the conversation and context

- Read the current conversation, plus any attached docs or PRDs, for domain-relevant nouns, verbs, and concepts. - Ignore generic technical terms (array, function, endpoint) unless they carry domain meaning here.

  1. Detect language problems Identify and note where:

- The same word is used for different concepts (ambiguity). - Different words are used for the same concept (synonyms). - Terms are vague, overloaded, or inconsistently applied.

  1. Propose a canonical glossary

- Choose one canonical term per concept and be opinionated about names. - For each term, write a tight, one‑sentence definition that says what it *is*, not how it’s implemented. - List “aliases to avoid” so everyone sees which terms should be retired in this context.

  1. Group terms into sections

- Group related terms under headings (e.g. “Order lifecycle”, “People”, “Billing”, “Content model”). - Each group gets its own Markdown table with columns: Term, Definition, Aliases to avoid. - If everything belongs to a single cohesive cluster, one table is fine—don’t force fake groupings.

  1. Describe relationships

- Add a “Relationships” section that describes how the key terms relate to each other in plain language. - Use bold term names and, where obvious, simple cardinalities (e.g. “An Order has many Line items”).

  1. Write an example dialogue

- Add a short example conversation (3–5 exchanges) between a developer and a domain expert. - Use the canonical terms consistently and show how they interact in a realistic scenario. - Use this dialogue to clarify boundaries between easily-confused terms.

  1. Write or update DOMAIN_GLOSSARY.md

- If the file does not exist, create it with the structure described above. - If it exists, read it first, merge in new understanding, and update it in place.

Re-running

When invoked again in the same repo or conversation:

  1. Read the existing DOMAIN_GLOSSARY.md.
  2. Merge in new terms introduced since the last run.
  3. Update definitions where understanding has clearly evolved.
  4. Mark changed entries with “(updated)” and new entries with “(new)”.
  5. Add any new ambiguities you’ve observed to “Flagged ambiguities”.
  6. Refresh the example dialogue so it reflects the latest terms and relationships.

Output format

DOMAIN_GLOSSARY.md should roughly follow this pattern (adapt as needed):

# Ubiquitous Language

## <Domain cluster 1>

| Term | Definition | Aliases to avoid |
|------|------------|------------------|
| **Order** | A customer's request to purchase one or more items | Purchase, transaction |
| **Invoice** | A request for payment sent to a customer after delivery | Bill, payment request |

## <Domain cluster 2>

| Term | Definition | Aliases to avoid |
|------|------------|------------------|
| **Customer** | A person or organization that places orders | Client, buyer, account |
| **User** | An authentication identity in the system | Login, account |

## Relationships

- An **Invoice** belongs to exactly one **Customer**.
- An **Order** produces one or more **Invoices**.

## Example dialogue

> **Dev:** "When a **Customer** places an **Order**, do we create the **Invoice** immediately?"
> **Domain expert:** "No — an **Invoice** is generated only once a **Shipment** is fulfilled."
> ...

## Flagged ambiguities

- "account" is being used to mean both **Customer** and **User**. Prefer **Customer** for the business entity and **User** for authentication.

(Use actual terms from the current domain, not these placeholders.)

Behavior and Rules

  1. Be opinionated. When multiple terms exist for the same concept, pick one canonical word and move others into “aliases to avoid”.
  2. Keep definitions tight. One sentence, focused on identity (“what it is”), not procedure (“what it does”).
  3. Only include domain terms. Skip generic infrastructure vocabulary unless it has a special meaning here.
  4. Call out conflicts. Ambiguous or overloaded terms go into “Flagged ambiguities” with a clear recommendation.
  5. Use the glossary going forward. After writing/updating the file, stick to the canonical terms in subsequent conversation.

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

38.81%
按下载量换算29

Claude

27.38%
按下载量换算20

Cursor

17.27%
按下载量换算13

Gemini CLI

10.2%
按下载量换算8

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

继续浏览同类 Skills