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.
Install
npx skills add brave/brave-search-skills --skill llm-contextnpx skills add brave/brave-search-skills --skill llm-context -a claude-code -gnpx skills add brave/brave-search-skills --skill llm-context -a codex -ggemini skills install https://github.com/brave/brave-search-skills.git --path skills/llm-contextgh skill install brave/brave-search-skills llm-contextgit clone --depth 1 https://github.com/brave/brave-search-skills /tmp/brave__brave-search-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/brave__brave-search-skills/skills/llm-context ~/.claude/skills/llm-context # Claude Code
cp -R /tmp/brave__brave-search-skills/skills/llm-context ~/.agents/skills/llm-context # Codex, Cursor, Gemini CLI, Copilot, OpenCode