init

To generate an AGENTS.md file for AI agent onboarding, use the init skill to analyze your codebase and automatically consolidate build commands, test runners, and architecture context into a single standardized agent-facing documentation file.

Automated AGENTS.md creation pulls relevant context from existing files like README.md, CLAUDE.md, and project rule files, combining high-level architecture insights, common development commands, and existing project guidelines into one agent-ready document.

You can use init to set up AI agent context for existing software repositories, as it analyzes the current codebase structure to surface operational guidance and consolidated project rules regardless of whether the repository is newly created or established.

The best way to consolidate development documentation and build commands for AI-assisted coding is automating AGENTS.md generation, which extracts and combines repository setup rules, architecture details, and test runner configurations into a single file.

You do not need to manually write build commands and test runner instructions in your AGENTS.md file, because the init skill automatically extracts these development commands and structural context directly from your existing project files.

Your AI agent lacks codebase architecture context because manually creating AGENTS.md is time-consuming and often misses critical operational guidance, which can be resolved by automating the consolidation of project rules and structural context.