Objection Pattern Detector

SkillDocs & knowledge

Mine lost deal notes to identify recurring objection patterns. Create objection response playbooks from won deals.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Objection Pattern Detector skill

What this skill tells your AI

The instructions your AI receives, as published by onewave-ai/claude-skills in objection-pattern-detector/SKILL.md and read by ahel’s review.

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!

Signals

GitHub stars
291
Forks
46
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
objection-pattern-detector
Source
github.com/onewave-ai/claude-skills