Research the architecture of a codebase or system. Reads source code, finds external context, explains design decisions, and produces ELK diagrams. Use when asked to understand, explain, or diagram how a repo/system is built.
Quickly install architecture-research AI skill to your development environment via command line
Source: tychohq/agent-skills.
Clone or browse the repo. Read actual code — module structure, entry points, key abstractions. Don't rely solely on READMEs.
Search for official docs, blog posts, conference talks, design docs, ADRs, and community discussions that explain the why behind the architecture.
Cite what you find. If you're inferring rationale (no source), say so explicitly.
Research the architecture of a codebase or system. Reads source code, finds external context, explains design decisions, and produces ELK diagrams. Use when asked to understand, explain, or diagram how a repo/system is built. Source: tychohq/agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/tychohq/agent-skills --skill architecture-researchResearch the architecture of a codebase or system. Reads source code, finds external context, explains design decisions, and produces ELK diagrams. Use when asked to understand, explain, or diagram how a repo/system is built. Source: tychohq/agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tychohq/agent-skills --skill architecture-research Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/tychohq/agent-skills