Does this skill work with the Task tool?

Yes, it specifically includes patterns for delegating complex analysis to sub-agents using the Task tool, allowing for recursive exploration of large systems.

How does this prevent AI hallucinations?

By forcing a 'Confirm' step before answering, the skill ensures that Claude verifies its findings against the actual source code rather than relying on potentially truncated context.

What is the RLM reasoning pattern?

RLM (Recursive Language Model) is a strategy that keeps data 'outside' the LLM context. It uses a 4-step workflow—Probe, Extract, Confirm, and Answer—to selectively access data only when needed.

When should I use the rlm-reasoning skill?

Apply this skill whenever you are dealing with files over 1000 lines, performing complex analysis on unknown codebases, or when you need to verify references across multiple files.

Can I use this for Python or other specific languages?

The RLM pattern is language-agnostic and works for any large document, code file, or data set that Claude needs to process within a limited context window.

RLM Reasoning for Large Context

Name: RLM Reasoning for Large Context
Author: freedom07

byfreedom07

0•

데이터 과학 및 ML

Optimizes Claude's ability to process massive files and complex codebases using a recursive Probe-Extract-Confirm reasoning pattern.

The RLM (Recursive Language Model) Reasoning skill implements an advanced context management strategy based on MIT CSAIL research to handle files exceeding 1000 lines without overloading the context window. This skill enforces a 'context outside' philosophy, requiring Claude to probe files using keyword searches, extract only relevant line ranges, and verify evidence before providing a response. It is an essential tool for developers working on enterprise-scale projects where traditional file-reading methods lead to context truncation, high costs, or decreased accuracy.

주요 기능

01Sub-agent delegation via the Task tool for complex multi-step analysis

020 GitHub stars

03Automated grep-based keyword searching to locate relevant code segments

04Recursive Language Model (RLM) pattern for efficient large-file processing

05Strategic Probe-Extract-Confirm workflow to minimize context window usage

06Selective reading with specific line offsets and limits for high precision

사용 사례

01Performing deep architectural reviews across multiple directories without context overflow

02Analyzing enterprise-level legacy codebases with single files exceeding 1000 lines

03Verifying code references and imports across a large project before generating changes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add freedom07/ai-studio-cc-plugin rlm-reasoning

For use in Claude.ai and ChatGPT

Download Skill