call-prep
Prepare sales professionals for meetings with structured briefings and discovery questions
Best use case
call-prep is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Prepare sales professionals for meetings with structured briefings and discovery questions
Teams using call-prep should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/call-prep/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How call-prep Compares
| Feature / Agent | call-prep | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Prepare sales professionals for meetings with structured briefings and discovery questions
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Call Prep Skill Overview The **call-prep** skill prepares sales professionals for meetings by combining user-provided context with web research and optional CRM/email/chat/calendar integrations. ## Core Functionality **Standalone mode** requires only the company name and meeting type. The skill then: - Conducts web searches for recent news and leadership changes - Researches company background and industry context - Generates a structured prep brief with discovery questions **Enhanced mode** activates when users connect tools like CRM systems or email platforms, automatically pulling account history, contact details, and prior interactions. ## Output Structure The skill produces a formatted brief including: - Account snapshot with company details - Attendee profiles with background information - Contextual history and recent company news - A suggested meeting agenda tailored to the call type - Discovery questions to guide conversation - Anticipated objections with response strategies ## Key Features The skill adapts to different meeting scenarios -- discovery calls emphasize information gathering, demos focus on tailored feature presentation, and negotiations center on objection handling. More context equals better prep, so sharing prior emails, notes, and attendee details enhances accuracy.
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