qbr-preparation-assistant
Quarterly Business Review preparation and facilitation skill with agenda and materials generation
npx skills add a5c-ai/babysitter --skill qbr-preparation-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# QBR Preparation Assistant ## Overview The QBR Preparation Assistant streamlines Quarterly Business Review preparation and facilitation. It automates agenda generation, compiles performance summaries, creates trend visualizations, and tracks follow-up actions to ensure productive supplier review meetings. ## Capabilities - **QBR Agenda Generation**: Structured meeting agenda creation - **Performance Summary Compilation**: Automated scorecard and metrics aggregation - **Trend Analysis Visualization**: Performance charts and graphs - **Issue and Action Log Aggregation**: Outstanding item compilation - **Innovation Pipeline Tracking**: Joint innovation initiative status - **Forecast Alignment Review**: Demand-supply alignment assessment - **Discussion Guide Creation**: Talking points and key questions - **Follow-Up Action Tracking**: Action item assignment and monitoring ## Input Schema ```yaml qbr_preparation_request: supplier_id: string review_period: quarter: string year: integer performance_data: scorecards: array kpi_history: object issues_log: array action_items: array strategic_topics: array innovation_updates: array forecast_data: object attendees: array meeting_date: date ``
- Overview
- Capabilities
- Input Schema
- Output Schema
- Usage
- QBR Package Generation
- Performance Trend Analysis
- Action Item Follow-Up
- Integration Points
- Process Dependencies
- Best Practices
What does the qbr-preparation-assistant skill do?
Quarterly Business Review preparation and facilitation skill with agenda and materials generation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill qbr-preparation-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.