architecture-research

What This Skill Does

The architecture-research skill is a sophisticated analysis tool designed for OpenClaw agents to deep-dive into complex software projects. Unlike simple code search utilities, this skill enforces a structured research methodology: reading source code to understand implementation, cross-referencing external documentation for context, and synthesizing findings into visual architecture diagrams. It effectively translates abstract codebases into structured documentation, helping users understand why a system was built a certain way, how its components interact, and what design trade-offs were made during its development.

Installation

To integrate this skill into your OpenClaw environment, use the following command in your terminal:

clawhub install openclaw/skills/skills/brennerspear/architecture-research

Ensure that you also have the diagrams skill installed to enable the automated rendering of ELK JSON graphs into SVG assets, as this is a core dependency for the visual output of the research process.

Use Cases

• Onboarding: Rapidly understand a legacy or unfamiliar codebase by generating high-level system maps and data flow diagrams.
• Technical Due Diligence: Evaluate the architectural quality and dependency patterns of a project during a review process.
• Documentation Generation: Create visual aids for internal design docs or architectural decision records (ADRs) when existing documentation is outdated or missing.
• Refactoring Strategy: Identify module boundaries and coupling points before planning major code migrations or updates.

Example Prompts

1. "Analyze the repository in the current directory and explain the dependency injection pattern used. Please generate an ELK diagram showing the service layer interactions."
2. "Research the architecture of this project. Identify the primary data store, how it handles incoming requests, and document the key design decisions for its API layer."
3. "Provide a high-level architectural overview of the auth module, including its integration with external services, and create a flowchart showing the authentication sequence."

Tips & Limitations

• Depth over Breadth: Focus on critical paths. If a repo is massive, instruct the agent to focus on specific sub-directories to maintain clarity in the generated diagrams.
• Verifiable Rationale: Always check for linked ADRs. If the agent infers a design decision, confirm it against actual commits or commit messages when possible.
• Diagram Complexity: ELK diagrams can become cluttered if too many nodes are added. Break complex systems down into multiple diagrams (e.g., 'Core Components' vs 'Data Flow') rather than one giant master diagram.
• Context Awareness: Ensure the agent has read access to the relevant directories, as the quality of the research is directly dependent on the breadth of the source files read.