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objection-pattern-detector

objection-pattern-detector

github.com/onewave-aiMarketing & growth393359 installsUpdated 1w ago
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About objection-pattern-detector

objection-pattern-detector is a sales enablement skill that analyzes lost deal notes for recurring objections and uses won deals to shape response playbooks. It is intended for teams refining objection handling with actionable frameworks.

Key features

  1. 01Finds recurring objections in lost deals
  2. 02Builds response playbooks from won deals
  3. 03Produces actionable recommendations
  4. 04Includes examples and reusable templates

Use cases

  1. 01Reviewing lost deal notes for repeated objections
  2. 02Creating response frameworks based on won deals

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/onewave-ai/claude-skills --skill objection-pattern-detector

After installing, type/objection-pattern-detectorin Claude Code to confirm it loaded.

Details

From the project README

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!

Comments

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