okr-story-drafter

To generate user stories from meeting transcripts, provide a meeting reference and your OKRs. The system fetches the Read.ai transcript, maps action items to Key Results, groups stories into Epics, and outputs a structured Markdown document with assigned responsibilities.

You align user stories with OKRs by providing the Objective and Key Results alongside the meeting reference. The skill fetches the transcript, then maps each generated story to the most relevant KR while grouping them into Epics and assigning responsible parties in a Markdown document.

Yes, you can use Read.ai transcripts to create project management tasks. The skill fetches the official transcript and action items by locating the correct meeting name and date, then generates structured user stories grouped by Epics with a sprint-oriented pending tasks section.

The best way to assign responsibilities from meeting action items is to map generated user stories to participants. The skill produces a final participants-to-stories mapping table in Markdown, ensuring clear ownership for every OKR-aligned story and pending sprint task.

Yes, generating OKR-aligned user stories requires predefined OKRs. You must provide the Objective and Key Results so the skill can map each generated story to the most relevant KR, ensuring the outputted Epics and pending tasks align with your sprint goals.

The generated user story document follows a standard Markdown format. It includes an OKR summary, Epic-based story grouping, a participants-to-stories responsibilities table, and a sprint-oriented pending tasks section for immediate project management use.