gemini-json-parsing

To parse Gemini CLI JSON output, you can use this Skill to extract the main AI-generated response content from both standard JSON and stream-JSON formats, providing structured data for programmatic integration. It automates pulling the summary text from headless operations.

Yes, you can process stream-JSON output from Gemini CLI for real-time monitoring. This Skill supports stream processing to parse real-time events, enabling live monitoring and seamless integration into automated workflows and data analysis pipelines as events occur.

You can analyze token usage statistics from Gemini CLI responses by using this Skill to interpret stats data. It extracts and analyzes token usage, model performance metrics, and tool call statistics from the JSON and stream-JSON outputs for cost tracking and reporting.

Yes, this approach handles errors returned by the Gemini CLI. The Skill includes error handling capabilities to gracefully manage and report errors found in the JSON or stream-JSON output, ensuring your automated workflows remain stable when the CLI returns an error state.

The best way to integrate headless Gemini CLI operations into a data pipeline is to use a parsing Skill to convert the CLI's JSON and stream-JSON outputs into structured data. This allows you to extract response content and log statistics for automated data analysis.