Agent skill · marketing growth · onewave-ai
objection-pattern-detector
Mine lost deal notes to identify recurring objection patterns. Create objection response playbooks from won deals.
Why this skill is useful
Provides a structured approach to analyzing sales objections and generating response frameworks that the AI wouldn't reliably create on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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 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!
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/objection-pattern-detector