
Rlm
Register the rlm marketplace plugin to process very large contexts recursively and save tokens in Claude Code.
Overview
rlm is a plugin marketplace for the Build phase that adds a Recursive Language Model skill for large-context, token-efficient processing in Claude Code.
What is this marketplace?
- Recursive Language Model (RLM) skill packaged as Claude marketplace plugin v0.1.0
- Targets large context processing with token efficiency
- Official marketplace schema from anthropic.com/claude-code
- Single-plugin rlm bundle from XiaoConstantine
- Skill source at ./plugins/rlm with ./skills/rlm entry
- Marketplace lists 1 plugin: rlm at version 0.1.0
- Plugin includes skills path ./skills/rlm from ./plugins/rlm
Community signal: 15 GitHub stars.
What problem does it solve?
Massive documents and repos overflow normal context windows and waste tokens on naive single-shot prompts.
Who is it for?
Builders juggling huge codebases, logs, or research corpora who need an RLM skill inside Claude Code.
Skip if: Simple tasks with small prompts where a vanilla agent session needs no recursive context machinery.
What do I get? / Deliverables
After you add the rlm plugin, Claude Code can apply recursive language modeling to break down and handle oversized inputs more efficiently.
- rlm v0.1.0 plugin with bundled RLM skill
- Recursive decomposition workflow for oversized inputs
Plugins in this marketplace
1 plugin — install individually after you add the marketplace.
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Journey fit
Large-context LLM patterns are adopted when wiring agent integrations during product build, even when used later for research. The rlm plugin bundles an ./skills/rlm skill for Recursive Language Model processing—a core LLM integration pattern.
How it compares
LLM large-context skill plugin, not a DevOps pipeline or voice/TTS marketplace.
Common Questions / FAQ
Who is Rlm for?
Developers using Claude Code who hit context limits on big files, repos, or research dumps and want RLM-style handling.
When should I use Rlm?
When integrate-phase agent work routinely involves large context that must be processed with token efficiency.
How do I add Rlm to my agent?
Install the XiaoConstantine Rlm-go Claude marketplace and enable the Rlm plugin that loads ./skills/Rlm.