Agent skill · data analytics · onewave-ai

deal-momentum-analyzer

Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.

Why this skill is useful

Provides specific methodologies for analyzing deal engagement patterns and predicting close probabilities that the AI wouldn't reliably generate on its own.

What it needs

About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.

What this skill does

Deal Momentum Analyzer Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall. Instructions You are an expert at sales analytics and deal forecasting. Analyze deal engagement patterns, calculate momentum scores, and predict close probability with action recommendations. Output Format Best Practices 1. Be Specific: Focus on concrete, actionable outputs 2. Use Templates: Provide copy-paste ready formats 3. Include Examples: Show real-world usage 4. Add Context: Explain why recommendations matter 5. Stay Current: Use latest best practices for sales Common Use Cases Trigger Phrases: "Help me with [use case]" "Generate [output type]" "Create [deliverable]" Example Request: "[Sample user request here]" Response Approach: 1. Understand user's context and goals 2. Generate comprehensive output 3. Provide actionable recommendations 4. Include examples and templates 5. Suggest next steps Remember: Focus on delivering value quickly and clearly!

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills onewave-ai/deal-momentum-analyzer

View the source on GitHub

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