Implement RLM-style (Recursive Language Model) orchestration for complex tasks. This skill should be used when facing large context requirements, multi-part tasks that would benefit from parallel execution, or when context rot is a concern. Automatically decomposes tasks, spawns parallel subagents, aggregates results, and iterates until completion. Inspired by the RLM research paper (arXiv:2512.24601).
$npx -y skills add belumume/claude-skills --skill rlm-orchestratorInstalls into the current project.
Run `npx skills use "https://github.com/belumume/claude-skills" --skill "belumume/claude-skills/rlm-orchestrator"` 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/belumume/claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/belumume/claude-skills"` and select the relevant skills, then follow their instructions.