deal-momentum-analyzer — Claude Code skill: install and overview
Scores deal velocity using email response times, meeting frequency, and stakeholder engagement. It flags stalling pipeline deals before they drop off.
npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a claude-codeWhat deal-momentum-analyzer does
The skill evaluates sales interactions to estimate whether a deal will close or stall. It reviews response latency across email exchanges, meeting regularity, and stakeholder participation patterns to compute a momentum score.
Outputs arrive in a structured Markdown format featuring an execution timestamp, a results section, and recommended next actions. The prompt relies entirely on communication logs you supply. Without meeting records or email timelines pasted into the chat, the model cannot score the pipeline accurately.
What it helps with
- score deal velocity from email response delays
- identify stalled opportunities across the sales pipeline
- monitor stakeholder participation trends before contract signing
- generate next steps to revive stalled accounts
Example prompts for the agent
- Analyze deal momentum for Acme Corp using this two-week email log.
- Check close probability for this deal based on our meeting cadence and response delays.
- Score buyer engagement from these notes and generate next steps.
How to install deal-momentum-analyzer
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a claude-code2Manually: put the files in place
~/.claude/skills/deal-momentum-analyzer/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/deal-momentum-analyzer/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a codex2Manually: put the files in place
.agents/skills/deal-momentum-analyzer/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a cursor2Manually: put the files in place
.cursor/skills/deal-momentum-analyzer/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OneWave-AI/claude-skills deal-momentum-analyzer2Manually: put the files in place
.github/skills/deal-momentum-analyzer/SKILL.md1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a gemini-cli2Platform CLI
gemini skills install https://github.com/OneWave-AI/claude-skills --path deal-momentum-analyzerManually: put the files in place
.devin/skills/deal-momentum-analyzer/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about deal-momentum-analyzer
How to install deal-momentum-analyzer in Claude Code?
Run npx skills add OneWave-AI/claude-skills --skill deal-momentum-analyzer -a claude-code in your terminal. You can also save it directly as ~/.claude/skills/deal-momentum-analyzer/SKILL.md.
What does deal-momentum-analyzer do?
It calculates deal momentum and predicts close probabilities by examining email response times, meeting cadence, and stakeholder involvement.
What output structure does the skill produce?
It generates a Markdown report containing a generation timestamp, formatted analysis results, and actionable recommendations.
Source text
SKILL.md · MIT
---
name: deal-momentum-analyzer
description: Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.
---
# 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
```markdown
# 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!
© OneWave-AI · MIT · OneWave-AI/claude-skills