gemini

# Gemini CLI Use Gemini in one-shot mode with a positional prompt (avoid interactive mode). Quick start - `gemini "Answer this question..."` - `gemini --model <name> "Prompt..."` - `gemini --output-format json "Return JSON"` File-output mode (for large token or explicit file return) - When content is large (e.g. long article/story/report) **or** user explicitly asks for file output, use: - `python3 /Users/shichen/skills/gemini/gemini_file_runner.py --prompt "<prompt>"` - Default model: `gemini-3-flash-preview` - For video parsing with large content (long video, dense transcripts, many segments), prefer `gemini-3-flash-preview` first. - Script behavior: - Always saves Gemini output to a file under `outputs/` in this skill directory. - Always returns `file_path` (absolute path) in JSON. - Optionally returns `content` when `--include-content` is provided. - Optional args: - `--model <model_name>` - `--output-format text|json` - `--output-file <filename>` - `--output-dir <dir>` - `--include-content` Required response contract for this mode - Must include absolute file path from script JSON: `file_path` - Content in response is optional and controlled by `--include-content` Example - User request: `使用 gemini 模型写 1000 字小说并输出文件给我` - Command: - `python3 /Users/shichen/skills/gemini/gemini_file_runner.py --prompt "写一篇约 1000 字中文小说，主题是..." --output-file novel-1000-words.txt` - Expected JSON stdout: - `{"ok":true,"file_path":"/Users/shichen/skills/gemini/outputs/novel-1000-words.txt"}` Video parsing example (large content) - User request: `请解析这个长视频并输出文件` - Command: - `python3 /Users/shichen/skills/gemini/gemini_file_runner.py --model gemini-3-flash-preview --prompt "解析视频内容并输出结构化总结..." --output-file video-analysis.txt` Extensions - List: `gemini --list-extensions` - Manage: `gemini extensions <command>` Notes - If auth is required, run `gemini` once interactively and follow the login flow. - Avoid `--yolo` for safety.