explanation-docs

What This Skill Does

The explanation-docs skill provides a standardized framework for drafting conceptual documentation within the OpenClaw ecosystem. Unlike procedural tutorials or API reference materials, this skill focuses on the 'why' behind system architectures, design decisions, and abstract technical concepts. It empowers AI agents to generate structured, reader-centric content that helps architects, developers, and team leads build robust mental models of complex systems. By enforcing a consistent template, it ensures that your documentation remains focused on reasoning, trade-offs, and historical context, rather than just implementation steps.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface. Run the following command in your terminal: clawhub install openclaw/skills/skills/anderskev/explanation-docs Once installed, you can invoke the skill to generate documentation drafts based on provided technical specifications or architecture diagrams.

Use Cases

• Onboarding developers to complex, legacy codebases by documenting the architectural intent.
• Creating internal engineering blog posts or 'white papers' that explain why a specific database schema or cloud infrastructure was chosen.
• Standardizing 'Design Docs' for RFCs (Request for Comments) within a product team.
• Helping non-technical stakeholders understand the high-level trade-offs of a new feature implementation.

Example Prompts

1. 'Using the explanation-docs pattern, create a document explaining why we migrated our backend service from a monolithic architecture to an event-driven microservices model.'
2. 'Draft an explanation document regarding our implementation of the CQRS pattern, highlighting the trade-offs between eventual consistency and read performance.'
3. 'Generate a conceptual guide for our new authentication service, focusing on the security trade-offs of using OIDC over traditional session-based cookies.'

Tips & Limitations

• Tip: When using this skill, provide as much historical context and 'what went wrong' information as possible to help the AI craft a more meaningful 'Problems' section.
• Tip: Use diagrams or visual descriptions in your input; the skill is designed to translate visual complexity into accessible narrative flow.
• Limitation: This skill is specifically for 'why' content. If you are trying to write a tutorial or an installation guide, this template will feel too verbose and theoretical. Do not use this for quick-start guides or API references.