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eventmodeling-orchestrating-event-modeling事件建模 编排事件建模

Agent Skill

eventmodeling-orchestrating-event-modeling 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

456

周安装

19

GitHub Stars

公开资料未说明

下载量

152
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:eventmodeling-orchestrating-event-modeling(事件建模 编排事件建模)
来源仓库:https://github.com/trogonstack/agentskills
仓库路径:skills/eventmodeling-orchestrating-event-modeling
安装命令:
npx skills add https://github.com/trogonstack/agentskills --skill eventmodeling-orchestrating-event-modeling
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/trogonstack/agentskills --skill eventmodeling-orchestrating-event-modeling

简介

eventmodeling-orchestrating-event-modeling 协调九步事件建模全流程执行顺序。

  • 自动判断各阶段输入条件,智能切换子技能调用。
  • 携带上下文信息流转,确保多轮对话间状态连贯。
  • 适用于新手引导式建模,降低学习曲线与人为失误。
  • 输出物包括事件图、场景剧本与验证清单等完整交付包。

SKILL.md

Orchestrating Event Modeling

Coordinates the 9-step Event Modeling workflow. Each step delegates to a specialized skill — this skill holds the sequence, transition conditions, and what to carry forward between steps.


Interview Phase

Skip if: user has provided a clear domain description, requirements or scope, and stated output goal (code, design, learning, docs).

When interviewing, use AskUserQuestion:

  1. Domain — "What are you modeling? Describe the business process in 2-3 sentences."
  2. Requirements state — "(A) Written requirements/user stories, (B) Rough ideas, (C) Existing system to reverse-engineer?"
  3. Goal — "(A) Learning event modeling, (B) Generate production code, (C) Design validation, (D) Team documentation?"
  4. Constraints — "Any constraints? (timeline, external integrations, team size, target language/framework)"
  5. Starting point — "Are you starting from scratch, or do you already have outputs from earlier steps (event list, commands, scenarios)?"

Confirm understanding before proceeding: "So we're modeling [domain], goal is [goal], constraints are [constraints]. Starting from [step]. Does that match?"

Capture findings — write to .trogonai/interviews/[project-name]/EVENTMODELING.md:

# Event Modeling: [Project Name]

**Project**: [project-name]
**Started**: [ISO date]
**Goal**: [learning / production code / design validation / documentation]
**Constraints**: [timeline, integrations, team size, language]

## Interview Trail

| Step | Skill | Status | Key Output |
|------|-------|--------|------------|
| Orchestration | eventmodeling-orchestrating-event-modeling | Done | Domain scoped, starting point confirmed |

Update this file as each step completes.


Mid-Workflow Entry

If the user already has outputs from earlier steps, start from where they are. Ask which steps are complete and what artifacts exist. Do not re-run completed steps — pick up from the first incomplete step.


Workflow

Step 1: Brainstorm Events

Invoke eventmodeling-brainstorming-events.

Input: Domain requirements and any existing knowledge about the domain. Output to carry forward: Event list + Role Catalog. The Role Catalog (all human roles and system actors) feeds into every subsequent step. Gate: Do not proceed until the Role Catalog exists and events cover all known business processes.


Step 2: Plot Events

Invoke eventmodeling-plotting-events.

Input: Event list from Step 1. Output to carry forward: Chronological event timeline showing causal dependencies between events. Gate: Timeline should read as a coherent narrative before proceeding.


Step 3: Storyboard

Invoke eventmodeling-storyboarding-events.

Input: Event timeline + Role Catalog. Output to carry forward: UI mockups/wireframes with one swimlane per human role, showing what data each screen displays and collects. Gate: Every human role from the Role Catalog has at least one screen.


Step 4: Identify Inputs

Invoke eventmodeling-identifying-inputs.

Input: Storyboards + Role Catalog. Output to carry forward: Command definitions, each attributed to a specific role or system processor. Gate: Every UI action in the storyboards maps to a named command.


Step 5: Identify Outputs

Invoke eventmodeling-identifying-outputs.

Input: Event list + Commands from Step 4. Output to carry forward: Read model definitions — projections of events optimized for UI and processor queries. Gate: Every screen data need from the storyboards is satisfied by a read model.


Step 6: Apply Conway's Law

Invoke eventmodeling-applying-conways-law.

Input: Full event model so far (events, commands, read models). Output to carry forward: System swimlanes mapping events and commands to team boundaries. Gate: Each boundary can be independently owned by a team. Skip this step if Conway's Law boundaries are not relevant to the project.


Step 7: Elaborate Scenarios

Invoke eventmodeling-elaborating-scenarios.

Input: Commands and read models. Output to carry forward: Given-When-Then specifications for each command and view, including happy paths, validation failures, and edge cases. Gate: At least one scenario per command before proceeding.


Step 8: Check Completeness

Invoke eventmodeling-checking-completeness.

Input: Full model — events, commands, read models, scenarios, Role Catalog. Output to carry forward: Field traceability matrix confirming every field has an origin and a destination. List of any gaps found. Gate: All gaps resolved or explicitly accepted before proceeding.


Step 9: Validate

Invoke eventmodeling-validating-event-models.

Input: Complete event model. Output: Validation report with PASS / PASS WITH WARNINGS / FAIL verdict. Gate: PASS verdict before declaring the model ready for implementation.

If FAIL: address findings and re-invoke eventmodeling-validating-event-models.

Optional — Production Readiness Checklist: Invoke eventmodeling-validating-event-models-checklist when the model is destined for production. It runs 23 architectural checks across 7 phases and returns a PASS / PASS WITH WARNINGS / FAIL verdict independently of Step 9. A PASS on Step 9 does not substitute for this checklist when production readiness is required.


Final Output

A complete event model consisting of:

  • Role Catalog (human roles and system actors with permissions)
  • Chronological event timeline
  • UI storyboards with role-based swimlanes
  • Command definitions with actor attribution
  • Read model designs
  • System boundaries (if Conway's Law applied)
  • Given-When-Then scenarios
  • Completeness verification
  • Validation report with readiness verdict

Optional Follow-on Skills

These skills are not part of the 9-step main path but extend the model for specific needs:

  • eventmodeling-designing-event-models — Use when stream identity, per-command state shapes, or event causality need detailed design work. Can be applied at any step where those decisions arise, most commonly during or after Step 1.
  • eventmodeling-optimizing-stream-design — Use after the model is complete to validate stream growth estimates and snapshotting decisions.
  • eventmodeling-translating-external-events — Use when external systems (webhooks, IoT, third-party APIs) need to feed into the domain model.
  • eventmodeling-slicing-event-models — Use after Step 9 PASS to break the model into independently deployable feature slices and plan parallel team implementation.

Quality Checklist

  • All 9 modeling steps completed — no step skipped without explicit reason
  • Role Catalog exists with named human roles and system processors
  • Every command is attributed to a specific role from the Role Catalog
  • Every read model satisfies at least one UI or processor query need
  • At least one Given-When-Then scenario exists per command
  • Completeness check shows no unresolved field traceability gaps
  • Validation returns PASS or PASS WITH WARNINGS with all critical issues resolved
  • Interview trail in .trogonai/ updated with status of each completed step

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

34.18%
按下载量换算52

Claude

29.05%
按下载量换算44

Cursor

21.25%
按下载量换算32

Gemini CLI

9.92%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

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