rlm
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".
Profile →npx skills add majiayu000/claude-skill-registry --skill rlm-neversight-skills-feed --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.
# RLM CLI Recursive Language Models (RLM) CLI - enables LLMs to handle near-infinite context by recursively decomposing inputs and calling themselves over parts. Supports files, directories, URLs, and stdin. ## Installation ```bash pip install rlm-cli # or: pipx install rlm-cli uvx rlm-cli ask ... # run without installing ``` Set an API key for your backend (openrouter is default): ```bash export OPENROUTER_API_KEY=... # default backend export OPENAI_API_KEY=... # for --backend openai export ANTHROPIC_API_KEY=... # for --backend anthropic ``` ## Commands ### ask - Query with context ```bash rlm ask <inputs> -q "question" ``` **Inputs** (combinable): | Type | Example | Notes | |------|---------|-------| | Directory | `rlm ask . -q "..."` | Recursive, respects .gitignore | | File | `rlm ask main.py -q "..."` | Single file | | URL | `rlm ask https://x.com -q "..."` | Auto-converts to markdown | | stdin | `git diff \| rlm ask - -q "..."` | `-` reads from pipe | | Literal | `rlm ask "text" -q "..." --literal` | Treat as raw text | | Multiple | `rlm ask a.py b.py -q "..."` | Combine any types | **Options:** | Flag | Description | |------|-------------| | `-q "..."` | Question/prompt (req
- Installation
- Commands
- ask - Query with context
- complete - Query without context
- search - Search indexed files
- index - Build search index
- doctor - Check setup
- Workflows
- Configuration
- Recursion and Budget Limits
- Recursive RLM (--max-depth)
- Budget Control (--max-budget)
- Other Limits
- Stop Conditions
pip install rlm-cli # or: pipx install rlm-cli uvx rlm-cli ask ... # run without installing export OPENROUTER_API_KEY=... # default backend export OPENAI_API_KEY=... # for --backend openai export ANTHROPIC_API_KEY=... # for --backend anthropic rlm ask <inputs> -q "question" rlm complete "prompt text" rlm complete "Generate SQL" --json --backend openai rlm search "query" [options] rlm index . # Index current dir
What does the rlm skill do?
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill rlm-neversight-skills-feed --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.