Decompose large inputs recursively to extend model context for code analysis.
npx skills add https://github.com/rawwerks/rlm-cli --skill rlm-rawwerks
Please help me install this Agent Skill. Skill: rlm Source: https://github.com/rawwerks/rlm-cli/tree/main/skills/rlm Command: npx skills add https://github.com/rawwerks/rlm-cli --skill rlm-rawwerks
Large language models struggle with extremely long inputs. RLM CLI solves this by decomposing inputs into smaller parts and recursively calling itself to maintain context and derive a cohesive result.
Run rlm ask on a large repository to analyze architecture.
High-intent search queries and answers about installing and using this skill.
Codebase analysis beyond context limits is handled by recursively decomposing inputs into smaller chunks. This maintains context across files and directories to derive cohesive architectural analysis results.
Recursive diff review works by breaking large inputs into manageable parts and calling itself to process them. This extends model context to review code changes at scale across various input sources.
Yes, codebase exploration supports files, directories, URLs, and stdin as input sources. You can invoke commands to search and index these inputs to analyze architecture across different formats.
Breaking large contexts into actionable analysis is achieved through recursive decomposition. By calling itself to process smaller parts, it extends context limits and produces cohesive results for codebases.
A SKILL.md frontmatter with name and description is required to begin. The body must instruct how to invoke commands like ask, complete, search, and index, alongside optional scripts and assets directories.
Recursive decomposition should be avoided for small codebases fitting within standard model context limits. It is specifically designed to handle extremely long inputs exceeding standard processing capabilities.
stabilefrisurEnforce test-driven development with failing tests before implementation.
pgagarinovExplore codebases with read-only, search, and glob commands.
Avi977Decompose large tasks into smaller subproblems via recursive self-invocation.
ivalmartChunk long-context documents and delegate analysis to an rlm-subcall subagent.
