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rlm - Process Large Codebases with Recursive Agents

Process large codebases using parallel agents to map-reduce tasks without context limitations

Tags

Updated: 2026-03-10

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • index and filter files
  • spawn parallel agents
  • process file chunks
  • collect agent outputs
  • slice large files
  • scan codebase structure
  • find usage patterns
  • extract code information
  • grep file contents
  • analyze code patterns

Inputs

  • large codebase
  • code patterns
  • file paths
  • query parameters
  • Python script

Outputs

  • aggregated results
  • synthesis report
  • filtered file list
  • chunk definitions
  • identified patterns
  • missing elements
  • summary table

Requirements

  • Task agent support
  • Python environment
  • command line tools
  • file system access

Source

  • Spec: SKILL.md

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codebase analysis
parallel processing
recursive methods
map-reduce
large files
agent orchestration
code search
python
machine learning
mapreduce
recursion
index and filter files
spawn parallel agents
process file chunks
collect agent outputs
large codebase
code patterns
file paths
aggregated results
synthesis report
filtered file list