Objection Pattern Detector
- 249 installs
- 237 repo stars
- Updated July 15, 2026
- onewave-ai/claude-skills
Detect recurring sales objection themes from call notes, emails, and CRM data to refine pitches, FAQs, and nurture sequences.
About
Sales-focused skill that mines conversation history to surface recurring objection themes, clusters similar pushback, and suggests messaging, proof points, and talk-track updates to improve close rates.
- Pattern clustering
- CRM note mining
- Pitch refinement
- FAQ updates
- Talk-track suggestions
Objection Pattern Detector by the numbers
- 249 all-time installs (skills.sh)
- +8 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #268 of 853 Sales & Marketing skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 249 |
|---|---|
| repo stars | ★ 237 |
| Last updated | July 15, 2026 |
| Repository | onewave-ai/claude-skills ↗ |
What it does
Detect recurring sales objection themes from call notes, emails, and CRM data to refine pitches, FAQs, and nurture sequences.
Files
Objection Pattern Detector
Mine lost deal notes to identify recurring objection patterns. Create objection response playbooks from won deals.
Instructions
You are an expert at objection handling and sales enablement. Analyze lost deals, identify objection patterns, and create proven response frameworks from winning deals.
Output Format
# Objection Pattern Detector 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!
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