USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust max_tokens/count based on complexity. Supports Goggles, local/POI. For AI answers use answers. Recommended for anyone building AI/agentic applications.
How to install llm-context?
brave/brave-search-skills/llm-context
$npx -y skills add brave/brave-search-skills --skill llm-contextInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/brave/brave-search-skills" --skill "brave/brave-search-skills/llm-context"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/brave/brave-search-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brave/brave-search-skills"` and select the relevant skills, then follow their instructions.
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