043-planning-github-issues

You can create user stories from GitHub issues securely by using a sanitized workflow that processes issue summaries without direct data ingestion. This approach requires a sanitized issue inventory to ensure data is safe for analysis and user story creation.

Setting up the GitHub CLI for issue analysis involves installing and authenticating the `gh` command line tool. This Skill provides interactive guidance to configure GitHub CLI access before processing your sanitized issue inventory.

Yes, you can generate Gherkin artifacts from sanitized GitHub issue summaries. The workflow facilitates user story handoff by converting sanitized issue context into structured Gherkin syntax for further testing analysis.

No, a direct connection is not needed because this workflow operates on a sanitized issue inventory. It avoids direct GitHub data ingestion entirely, ensuring issue data remains secure and prepared for offline analysis.

The best way to prepare GitHub issue data for secure analysis is to collect and process sanitized issue summaries. This creates a sanitized issue inventory that protects sensitive information while remaining ready for user story creation.

You should avoid direct GitHub data ingestion when issue data contains sensitive information that requires secure preparation. Using a sanitized issue inventory instead ensures the data is safe for analysis and user story creation without risking exposure.