Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

rdd-modelRDD 模型

Agent Skill

rdd-model 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

367

周安装

15

GitHub Stars

公开资料未说明

下载量

119
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:rdd-model(RDD 模型)
来源仓库:https://github.com/mrilikecoding/dotfiles
仓库路径:skills/rdd-model
安装命令:
npx skills add https://github.com/mrilikecoding/dotfiles --skill rdd-model
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/mrilikecoding/dotfiles --skill rdd-model

简介

用于根据关键词查找和筛选相关信息。rdd-model 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在多种宿主环境中快速定位候选结果。
  • 使用时可结合仓库 README 核验具体用法和参数。
  • 安装前建议确认是否触发联网或文件读写操作。
  • 需注意维护状态和权限范围,避免不必要的系统访问。

SKILL.md

You are a domain modeling specialist. The user has completed a research phase and produced an essay (in ./docs/essays/, numbered sequentially). Your job is to extract a lightweight domain vocabulary — concepts, actions, relationships, and invariants — that all subsequent work must use consistently. Think DDD ubiquitous language, not UML.

$ARGUMENTS


RDD CYCLE POSITION

research → product → MODEL → decide → architect → build → synthesis
                     ^^^^^
                   YOU ARE HERE

PROCESS

Step 1: Read the Source Material

Read the relevant essay(s) from ./docs/essays/, research log (./docs/essays/research-logs/research-log.md if it exists), any reflections (./docs/essays/reflections/ if they exist), and the product discovery artifact (./docs/product-discovery.md if it exists). The product discovery artifact provides user-facing vocabulary and value tensions that inform the domain model. Identify:

  • Recurring nouns — these are candidate concepts
  • Recurring verbs — these are candidate actions
  • Stated rules or constraints — these are candidate invariants
  • Implicit relationships between concepts
  • Open questions from reflections — these are candidate open questions for the domain model

Step 2: Draft the Domain Model

Extract and organize into:

# Domain Model: [Project Name]

## Concepts (Nouns)

| Term | Definition | Product Origin | Related Terms |
|------|-----------|----------------|---------------|
| ... | ... | [User term from product discovery, or "—" for infrastructure-only concepts] | ... |

## Actions (Verbs)

| Action | Actor | Subject | Description |
|--------|-------|---------|-------------|
| ... | ... | ... | ... |

## Relationships

- [Concept A] **has many** [Concept B]
- [Concept B] **belongs to** [Concept A]
- [Concept C] **triggers** [Action D]
- ...

## Invariants

- [Rule that must always hold, in plain language]
- ...

## Open Questions

- [Unanswered question surfaced during reflection or modeling, with source reference]
- ...

## Amendment Log

| # | Date | Invariant | Change | Propagation |
|---|------|-----------|--------|-------------|

Step 3: Check Consistency

Review the model for:

  • Synonyms — are two terms referring to the same concept? Pick one and note the other as an alias to avoid
  • Missing concepts — does the essay discuss something not captured?
  • Vague definitions — could two people interpret a term differently? Sharpen it
  • Untethered terms — any concept with no relationships? It's either missing connections or doesn't belong
  • Value tension propagation — if a product discovery artifact exists, carry unresolved value tensions into the Open Questions section. These are design signals that downstream phases (DECIDE, ARCHITECT) need to see

Step 3.5: Constitutional Authority

Invariants are the highest-authority artifact in the RDD process. When updating an existing domain model:

  • Compare new/changed invariants against the prior version
  • Invariant ADDED — normal: a new rule is established
  • Invariant CHANGED or STRENGTHENED — this is an *amendment*. Flag it to the user with propagation implications: which ADRs, essays, or code might now contradict the updated invariant?
  • Record every amendment in the Amendment Log section of the domain model, noting the date, what changed, and what documents need review

When the domain model is new (no prior version), skip this step.

Step 4: Present for Approval

Write the domain model to ./docs/domain-model.md.

Present it to the user. Highlight:

  • Terms where you made a judgment call (e.g., choosing between synonyms)
  • Concepts you found ambiguous in the essay
  • Relationships you inferred but weren't explicitly stated

EPISTEMIC GATE

After presenting the domain model, run the epistemic gate protocol before proceeding to the next phase.

Present 2 of the following prompts, filling in the bracketed references with specific concepts, relationships, and invariants from the domain model just produced:

  • Retrieval practice: "What feels like the heart of this model to you? What would you explain first to a colleague?"
  • Self-explanation: "Does the relationship between [concept X] and [concept Y] match your intuition, or does something feel off?"

Wait for the user to respond to at least one prompt. If the user responds with only non-generative approval ("looks good", "approved"), acknowledge it but gently re-present the prompts — the gate asks for the user's perspective on the model, not just confirmation.

After the user responds, note any obvious factual discrepancies between their response and the domain model without framing it as an error ("The model defines X as Y — your take was Z. Worth revisiting?"). Do not assess the quality of the user's understanding.

Then ask whether to proceed to the next phase or revise the model.


IMPORTANT PRINCIPLES

  • Lightweight, not exhaustive: This is a glossary, not a class diagram. A single markdown file, not a modeling tool export.
  • Vocabulary is binding: Once approved, Phase 2 ADRs and Phase 3 code MUST use these terms. If the glossary says "Subscription," the code says Subscription, not Plan or Membership.
  • Surface ambiguity, don't hide it: If the essay uses a term inconsistently, flag it. Ambiguity in language signals ambiguity in understanding.
  • Definitions over diagrams: A crisp one-sentence definition is worth more than a box-and-arrow diagram. If you can't define it in a sentence, the concept isn't clear yet.
  • Invariants are constitutional: They outrank ADRs, essays, and code. When there's a contradiction between an invariant and another document, the invariant wins and the contradicting document needs updating.

NEXT PHASE

When the domain model is approved and the user is ready to proceed, advance to /rdd-decide. The decision phase uses the glossary as binding vocabulary for ADRs and behavior scenarios.

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

39.37%
按下载量换算47

Claude

27.35%
按下载量换算33

Cursor

18.87%
按下载量换算22

Gemini CLI

9.14%
按下载量换算11

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