domain-modeling
在明确的限界上下文中建立统一语言、业务规则、生命周期及战略和战术模型。适用于语义冲突、业务规则复杂、聚合或一致性边界不清,以及代码与业务语言不一致的场景。
Skill by snbc-qihang
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/snbc-qihang-domain-modeling
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- None asked for
- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/domain-modeling
What's inside
- Skill name
domain-modeling- Description
- 在明确的限界上下文中建立统一语言、业务规则、生命周期及战略和战术模型。适用于语义冲突、业务规则复杂、聚合或一致性边界不清,以及代码与业务语言不一致的场景。
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Files (8)
- SKILL.md
- adr-format.md · references/
- design-governance.md · references/
- integration-consistency.md · references/
- model-artifact.md · references/
- scenario-traceability.md · references/
- strategic-modeling.md · references/
- tactical-modeling.md · references/
SKILL.md (first lines)
本 skill 仅使用当前 `engineering-assistant` 的能力与 Runtime。平台已选本 skill 时直接执行,不重复路由或跨插件推进同一运行。 # 领域建模 使用具体业务场景建立上下文内一致、能够解释业务行为的模型。模型应小于实现;DDD 模式必须由真实语义和变化压力证明。 ## 操作流程 1. 明确建模目的、范围、业务负责人和候选限界上下文。 2. 从业务语言、成功、失败和非法场景、源码、接口、数据及现有文档中收集术语与事实;区分可调查事实和必须人工决定的业务选择。 3. 用场景检验术语、关系、命令、事件、生命周期和不变量,术语只要求在所属上下文内含义唯一。 4. 先完成战略边界,再在单个上下文内应用必要的战术模式;不得为了模式清单制造领域对象。 5. 将模型与代码、API 和数据对照;无法确认的差异保留为未知或交给 `decision-interview`,不得静默选择。 6. 只更新一个规范模型,其他文档通过引用使用;只为真实、反直觉且难以逆转的选择创建 ADR。 存在多个子域、团队边界、同名异义或跨系统协作时读取 [references/strategic-modeling.md](references/strategic-modeling.md)。 任务涉及聚合、不变量、生命周期或实现映射时读取 [references/tactical-modeling.md](references/tactical-modeling.md)。 创建或更新正式领域模型文档时读取 [references/model-artifact.md](references/model-artifact.md)。 请求覆盖战略设计、多个限界上下文、部署拓扑或能力级详细设计时读取 [references/design-governance.md](references/design-governance.md)。 请求正式领域设计、上下文切片或能力级详细设计时读取 [references/scenario-traceability.md](references/scenario-traceability.md)。 存在跨限界上下文或外部模型协作时读取 [references/integration-consistency.md](references/integration-consistency.md)。 只有决策确实需要 ADR 时才读取 [references/adr-format.md](references/adr-format.md)。 历史名称只能作为明确别名保留,不能与当前规范术语并列成为第二事实源。 不得创建全局唯一业务模型,不得把组织图、微服务或数据库表直接当作领域边界,也不得在领域模型中复制完整实现设计。
From snbc-qihang/agent-skills, MIT.
More from snbc-qihang/agent-skills
- 0.586score
engineering-assistant
snbc-qihang
将工程任务路由到最小充分的 skill 或受治理 flow。适用于请求跨越上下文、设计、实现、评审、发布或长期任务协调的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
tdd
snbc-qihang
通过真实红绿反馈实现可测试的行为。适用于明确要求 TDD,或新增规则、缺陷修复适合失败测试驱动的场景;普通修改不自动触发。
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
repo-context
snbc-qihang
基于源码证据梳理仓库模块、接口、数据、依赖、可复用能力和影响范围。适用于设计或大范围变更分析之前。
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
research
snbc-qihang
基于一手资料研究工程问题,并输出有引用、有边界的结论。适用于外部项目、API、标准或不熟悉的技术事实。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
decision-interview
snbc-qihang
在查明仓库事实后,与用户一起解决相互依赖的产品或设计决策。适用于范围、取舍或验收标准仍不明确的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
diagnosing-bugs
snbc-qihang
通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
prototype
snbc-qihang
构建明确可丢弃的逻辑或界面原型,用于回答一个设计问题。适用于具体交互验证比继续抽象讨论成本更低的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
code-review
snbc-qihang
评审固定 diff、Pull Request 或阶段门禁,按仓库规范与需求识别有证据的问题。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
wayfinder
snbc-qihang
把大型或高不确定性工程任务整理为目标、当前前沿和待决策事项。适用于工作超过一次会话或尚不能安全切片的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
codebase-design
snbc-qihang
设计小接口、高杠杆、变更局部化的深模块和清晰 seam。适用于架构边界、可测试性或重构结构设计。
SkillAFreshness: A★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 19, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/snbc-qihang/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from snbc-qihang
- 0.586score
engineering-assistant
snbc-qihang
将工程任务路由到最小充分的 skill 或受治理 flow。适用于请求跨越上下文、设计、实现、评审、发布或长期任务协调的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
tdd
snbc-qihang
通过真实红绿反馈实现可测试的行为。适用于明确要求 TDD,或新增规则、缺陷修复适合失败测试驱动的场景;普通修改不自动触发。
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
repo-context
snbc-qihang
基于源码证据梳理仓库模块、接口、数据、依赖、可复用能力和影响范围。适用于设计或大范围变更分析之前。
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
research
snbc-qihang
基于一手资料研究工程问题,并输出有引用、有边界的结论。适用于外部项目、API、标准或不熟悉的技术事实。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
decision-interview
snbc-qihang
在查明仓库事实后,与用户一起解决相互依赖的产品或设计决策。适用于范围、取舍或验收标准仍不明确的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
diagnosing-bugs
snbc-qihang
通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。
SkillAFreshness: A★ 1Claude Code +9
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domain-modeling skill. Agent Mart. https://agentmart.dev/skills/snbc-qihang-domain-modeling (last updated 2026-10-24)