Implement a production-ready LLM query loop / agent loop for AI applications. Use this skill whenever the user wants to add tool calling, ReAct-style reasoning-action-observation cycles, function calling loops, query engines, agent runtimes, tool_result feedback, max-turn exits, or Claude Code-like Agent Loop behavior to their own product or codebase.
$npx -y skills add simbajigege/book2skills --skill query-loop-implementationInstalls into the current project.
Run `npx skills use "https://github.com/simbajigege/book2skills" --skill "simbajigege/book2skills/query-loop-implementation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/simbajigege/book2skills" that are relevant to the current task. Run `npx skills add "https://github.com/simbajigege/book2skills"` and select the relevant skills, then follow their instructions.