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Deal Momentum Analyzer

This one's built for sales teams who need to cut through CRM noise and figure out which deals are actually moving. It analyzes email response patterns, meeting cadence, and stakeholder engagement to generate momentum scores and close probability predictions. The output includes actionable recommendations on where to focus your energy, which matters because most reps waste time on deals that were already dead. The formatting gives you timestamps and structured reports you can drop straight into forecasting calls. It won't replace your gut instinct, but it'll give you data to back it up when your manager asks why you're deprioritizing that enterprise deal that's gone radio silent for two weeks.

skills.sh installs
324
GitHub stars
422
last updated
Aug 21, 2026

Install

$ npx -y skills add onewave-ai/claude-skills --skill deal-momentum-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

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

# Deal Momentum Analyzer Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

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]"

Sponsors

Details

Repository
github.com/onewave-ai/claude-skills
Category
Sales & Marketing
First seen
Jun 3, 2026

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