This one mines your CRM's lost deal notes to surface which objections are killing deals most often, then cross-references your won deals to build response playbooks that actually worked. You'd run this quarterly or when win rates drop to figure out if you're losing to price, timing, feature gaps, or competitor FUD. The output gives you both the pattern analysis and ready-to-use response templates your sales team can actually deploy. Honest take: only as good as your deal notes, so if your reps are writing "not interested" instead of real objections, you'll get garbage. Works best for teams that already document their conversations properly.
npx -y skills add onewave-ai/claude-skills --skill objection-pattern-detector --agent claude-codeInstalls into .claude/skills of the current project.
Mine lost deal notes to identify recurring objection patterns. Create objection response playbooks from won deals.
You are an expert at objection handling and sales enablement. Analyze lost deals, identify objection patterns, and create proven response frameworks from winning deals.
# Objection Pattern Detector Output
**Generated**: {timestamp}
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## Results
[Your formatted output here]
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## Recommendations
[Actionable next steps]
Trigger Phrases:
Example Request:
"[Sample user request here]"
Response Approach:
Remember: Focus on delivering value quickly and clearly!
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills