rlm
CommunityRecursively explore long-context prompts.
AuthorXiaoConstantine
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables handling arbitrarily long contexts by allowing the LLM to programmatically explore prompts via Query() and FINAL() patterns, reducing token consumption and latency.
Core Features & Use Cases
- Long-context processing: Efficiently process contexts >50KB by chunking and recursive sub-LLM calls.
- Token efficiency: Achieve significant token savings by avoiding full-context repetition.
- Go REPL-based workflow: Leverage a Yaegi-based interpreter to run generated code and sub-queries.
Quick Start
Install the rlm binary and run a test with a large context file: rlm -context big-context.txt -query "Summarize findings" -verbose
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rlm Download link: https://github.com/XiaoConstantine/rlm-go/archive/main.zip#rlm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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