Objection Pattern Detector

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.

skills.sh installs: 373
GitHub stars: 422
last updated: Aug 21, 2026

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Install

$ npx -y skills add onewave-ai/claude-skills --skill objection-pattern-detector --agent claude-code

Installs into .claude/skills of the current project.

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}

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## Results

[Your formatted output here]

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## Recommendations

[Actionable next steps]