Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
onewave-ai avatar

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)
npx skills add https://github.com/onewave-ai/claude-skills --skill deal-momentum-analyzer

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs241
repo stars237
Last updatedJuly 15, 2026
Repositoryonewave-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

SKILL.mdMarkdownGitHub ↗

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!

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.