gemini-rlm-min
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
npx skills add majiayu000/claude-skill-registry --skill gemini-rlm-min-starwreckntx-irp-methodologies-090bd879 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Gemini RLM (Minimal) **Purpose:** Provide a lightweight, CLI-based implementation of the Recursive Language Model architecture using Google's Gemini models. This skill allows for processing extremely large documents by orchestrating chunking, sub-LLM processing, and synthesis entirely via a Python script and the Gemini API. ## Architecture Based on [arXiv:2512.24601](https://arxiv.org/abs/2512.24601) - Recursive Language Models. | Component | Implementation | Model | |-----------|----------------|-------| | Root LLM | `gem_rlm.py` (Orchestrator) | Gemini 2.0 Flash | | Sub-LLM | `gem_rlm.py` (Chunk Processor) | Gemini 2.0 Flash | | External Environment | `scripts/rlm_repl.py` | Python 3 | ## Prerequisites - **Environment Variable:** `GEMINI_API_KEY` must be set in your shell environment. ```bash export GEMINI_API_KEY="your_api_key_here" ``` ## Usage The primary entry point is the `gem_rlm.py` script. ### Syntax ```bash ${SKILLS_ROOT}/gemini-rlm-min/gem_rlm.py --context <path_to_large_file> --query <"your query"> [options] ``` ### Options - `--chunk-size`: Size of chunks in characters (default: 50000) - `--overlap`: Overlap between chunks in characters (default: 0) ### Examples **A
- Architecture
- Prerequisites
- Usage
- Syntax
- Options
- Examples
- How It Works
- File Structure
- Integration with IRP
export GEMINI_API_KEY="your_api_key_here" export GEMINI_API_KEY="AIza..."
What does the gemini-rlm-min skill do?
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-rlm-min-starwreckntx-irp-methodologies-090bd879 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.