Convert natural language requirements (PRD) into AI-friendly DDD domain design documents in Markdown. Use when the user provides a PRD, requirement doc, or business description and wants a DDD domain model, entity/aggregate design, ER diagram, domain logic placement, or sequence/flow diagrams. Produces structured output that AI agents can directly use for implementation. OpenClaw Skill

Convert natural language requirements (PRD) into AI-friendly DDD domain design documents in Markdown. Use when the user provides a PRD, requirement doc, or b...

v1.0.0 Recently Updated Updated 3 wk ago

Installation

clawhub install prd-to-ddd-design

Requires npm i -g clawhub

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PRD to DDD Domain Design

Convert PRD / natural language requirements into a structured DDD design document.

When to Use

  • User provides a PRD, requirement document, or business description
  • User asks: "把需求转成DDD设计" / "领域建模" / "domain modeling from requirement"
  • Before implementation — this is the first step in the AI development workflow

Relationship to Other Skills

  • design-to-plan: After this skill produces the design doc → split into implementation plans
  • ddd-domain-model / ddd-cross-layer: Implementation patterns → use after design is finalized

Resources

File Role When to Read
This file (SKILL.md) Map — workflow, phases, output rules Always (auto-loaded)
phase-guide.md How-to — analysis heuristics, design criteria, identification rules When executing each phase
ddd-design-template.md Template — output section structure with table formats When writing the design doc

Workflow

PRD / Natural Language


  Phase 0 → 1 → 2 → 3 → 4 → 4.5 → 5 → 5.5 → 6


  Output: docs/design/<feature>-ddd-design.md

Phase Summary

Phase Name What to Produce Key Input
0 Event Storming Actor → Command → Aggregate → Event → Policy flow PRD text
1 Domain Discovery Ubiquitous language glossary, domain events, business rules PRD nouns/verbs
2 Strategic Design Bounded contexts, context mapping Phase 0-1 results
3 Tactical Design Entities, VOs, aggregates, relationships Phase 1-2 results
4 ER Modeling Mermaid ER diagram (PK/FK only) Phase 3 entities
4.5 Database Schema Table mapping, columns, indexes, constraints Phase 3-4 entities
5 Logic Placement Entity/VO logic, Gateway/Repo interfaces, Domain Services Phase 3 + PRD rules
5.5 Cross-Layer Contracts REST API, Client DTOs, AppService API, Infra adapters Phase 5 results
6 Behavior Modeling State machines, sequence diagrams, flowcharts, event flows Phase 0 + 5

For detailed instructions on each phase (extraction rules, identification heuristics, design criteria), read phase-guide.md.


Execution Steps

  1. Read the PRD document provided by user
  2. Read phase-guide.md for analysis heuristics
  3. Execute phases 0-6 sequentially, using ddd-design-template.md as the output structure
  4. Run the Quality Checklist below before finalizing
  5. Save to docs/design/<feature-name>-ddd-design.md

Output Rules

  • Pure Markdown with Mermaid diagrams
  • Chinese for business descriptions, English for technical terms (class names, method signatures)
  • Align naming and layer placement with ddd-architecture rule
  • Align domain purity with ddd-domain-layer rule
  • Every entity must have behaviors (no anemic model)
  • Every aggregate must list invariants
  • Every domain logic item must have placement rationale
  • Database schema must map all entities/VOs to tables with complete columns
  • Cross-layer contracts must be defined with input/output types

Quality Checklist

Before finalizing the document, verify:

Event Storming & Discovery (Phase 0-1)

  • All Actors, Commands, Specs, Events, Policies identified
  • Command → Aggregate → Event mapping is complete
  • All business nouns mapped to entities or value objects
  • All business rules captured with rule IDs
  • Ubiquitous language glossary includes Package column

Tactical Design (Phase 2-3)

  • Aggregates are small with clear boundaries
  • No cross-aggregate direct object references (use ID)
  • Entity behaviors are rich (no anemic model)
  • State machines documented for stateful entities
  • Naming follows project DDD conventions

Data & Logic (Phase 4-5)

  • ER diagram only shows PK/FK, consistent with entity/VO tables
  • Entity → Table mapping covers all entities and value objects
  • Table Detail includes all columns with type, nullable, default
  • Indexes defined for FK columns, frequent queries, unique keys
  • Domain logic placement has clear rationale for every item
  • Domain Service design decisions documented with alternatives

Cross-Layer & Behavior (Phase 5.5-6)

  • REST API endpoints listed with URL, HTTP method, request/response types
  • Client DTOs (Request/Response) key fields defined
  • AppService methods listed with Command input and DTO output
  • Infrastructure adapter-to-gateway mapping is complete
  • Sequence diagrams cover all core use cases
  • Flowcharts cover complex branching rules (2+ paths)

Statistics

Downloads 228
Stars 0
Current installs 1
All-time installs 1
Versions 1
Comments 0
Created Mar 17, 2026
Updated Mar 17, 2026

Latest Changes

v1.0.0 · Mar 17, 2026

Initial release — convert natural language requirements (PRD) into Domain-Driven Design (DDD) documents for AI agents. - Provides a phase-based workflow: event storming, domain discovery, tactical/strategic design, ER modeling, schema mapping, logic placement, and behavior modeling. - Produces structured Markdown output, including Mermaid diagrams, entity relationships, database schemas, APIs, and diagrams. - Output tailored for direct AI implementation, guiding naming, design rules, and cross-layer contracts. - Includes a quality checklist for design completeness and consistency. - Links to supporting guides and templates for phase details and output formatting.

Quick Install

clawhub install prd-to-ddd-design
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