
Deal Momentum Analyzer
- 241 installs
- 237 repo stars
- Updated July 15, 2026
- onewave-ai/claude-skills
Tracks and analyzes deal momentum in sales processes to predict deal health and recommended next actions.
About
The deal-momentum-analyzer skill monitors sales deal progression to assess momentum and predict deal health. It analyzes engagement patterns, activity cadence, and stage timing to identify at-risk deals and surface recommended actions. Helps sales representatives and managers prioritize their deal attention for better win rates.
- Claude Code skill
- Agent capability extension
- Developer productivity
- Workflow automation
- Easy integration
Deal Momentum Analyzer by the numbers
- 241 all-time installs (skills.sh)
- +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,627 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 241 |
|---|---|
| repo stars | ★ 237 |
| Last updated | July 15, 2026 |
| Repository | onewave-ai/claude-skills ↗ |
What it does
Tracks and analyzes deal momentum in sales processes to predict deal health and recommended next actions.
Who is it for?
Sales representatives and managers
Skip if: Non-sales workflows
What you get
- deal momentum analysis and recommendations
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]"
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!