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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.
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Install in OpenClaw
/install prd-to-ddd-design
Description
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...
Usage Guidance
This skill appears internally consistent and only uses the provided PRD and local template/guide files to generate a Markdown DDD design doc. Before installing/using it: (1) do not include sensitive secrets or PII in the PRD you hand to the skill (the skill will consume the PRD text to produce the doc); (2) confirm you are comfortable with the agent writing files to your workspace at docs/design/<feature>-ddd-design.md; (3) review any generated API or external-system entries in the output to ensure they don't unintentionally expose credentials or environment-specific endpoints. If you need the agent to run network calls, connect to external services, or access private repos, expect additional permissions/credentials would be required — none are requested here.
Capability Analysis
Type: OpenClaw Skill
Name: prd-to-ddd-design
Version: 1.0.0
The prd-to-ddd-design skill bundle is a legitimate tool designed to guide an AI agent through the process of converting natural language requirements into Domain-Driven Design (DDD) documentation. The bundle includes a structured workflow in SKILL.md, detailed analysis heuristics in phase-guide.md, and a comprehensive Markdown template in ddd-design-template.md. There are no indicators of malicious intent, such as data exfiltration, unauthorized command execution, or harmful prompt injection; the instructions are strictly aligned with architectural modeling and document generation.
Capability Assessment
Purpose & Capability
The name/description match the included SKILL.md, phase guide, and template: the skill's goal is to transform PRDs into DDD design docs. It requests no binaries, no environment variables, and no credentials, which is proportional and expected for a purely authoring/template skill.
Instruction Scope
Runtime instructions are limited to reading the user-provided PRD and the two included guidance files, executing the documented phases, producing Markdown with Mermaid diagrams, and saving the result. The instructions do not request system secrets, unrelated filesystem paths, or network endpoints; they specify writing output to docs/design/<feature>-ddd-design.md, which is appropriate for a doc-generation skill.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is downloaded or written to disk by an installer. This is the lowest-risk install model and is proportionate for the described functionality.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The SKILL.md does not reference hidden env vars or credentials. The lack of requested secrets is appropriate for a documentation/template skill.
Persistence & Privilege
The skill instructs the agent to save output to docs/design/<feature>-ddd-design.md; writing files in the agent workspace is expected here. always:false (default) and normal autonomous invocation settings are used. This is reasonable, but users should be aware the agent will create files in the workspace when the skill runs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prd-to-ddd-design - After installation, invoke the skill by name or use
/prd-to-ddd-design - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
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.
Metadata
Frequently Asked Questions
What is 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.?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 383 downloads so far.
How do I install 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.?
Run "/install prd-to-ddd-design" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 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. free?
Yes, 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. is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 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. support?
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. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 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.?
It is built and maintained by qitong (@qitongfire); the current version is v1.0.0.
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