call-prep
Automate sales call preparation by synthesizing account research, attendee data, and product signals from Common Room.
Introduction
The call-prep skill acts as an intelligent sales assistant designed to streamline pre-meeting research for customer or prospect calls. By integrating directly with Common Room and optional calendar connectors, it transforms fragmented data into a cohesive, scannable brief. The skill is intended for sales representatives, account executives, and customer success managers who need to maintain a high volume of quality meetings without spending hours manually collating research.
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Automatically identifies account status, recent product usage signals, and risk factors from Common Room.
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Performs contact research on meeting attendees, mapping roles and identifying personal hooks or engagement history.
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Connects to calendar services to automatically surface upcoming meeting agendas, note fields, and attendee lists.
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Executes a recency check using web search to capture breaking news such as funding rounds, executive changes, or recent product launches.
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Generates a structured output including a company snapshot, attendee profiles, prioritized signal highlights, and tailored talking points.
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Provides a proactive "likely objections" section to prepare users for potential friction points during the conversation.
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When data is insufficient, the skill defaults to an honest "sparse data" report rather than hallucinating details.
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Users should ensure their company context is defined in the provided reference files to allow for specific value proposition tailoring.
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The output is optimized for quick readability, typically requiring 5 minutes or less to consume.
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Input requirements include a company name; optional attendee names can be parsed from natural language prompts or calendar events.
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Privacy and accuracy are maintained by grounding every talking point in real signal data and flagging unknowns explicitly.
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The skill is built as part of a modular knowledge work suite, allowing it to interface with other plugins or custom MCP (Model Context Protocol) servers as needed.
Repository Stats
- Stars
- 11,622
- Forks
- 1,352
- Open Issues
- 92
- Language
- Python
- Default Branch
- main
- Sync Status
- Idle
- Last Synced
- Apr 28, 2026, 12:54 PM