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objection-pattern-detector — Claude Code skill: setup and use

This skill scans notes from lost sales deals to uncover repeating buyer objections. It turns successful deal records into ready objection-handling playbooks.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a claude-code
Open on GitHub

What objection-pattern-detector does

The skill turns the assistant into a sales enablement advisor. It reviews lost deal notes to identify recurring buyer objections. Then it pulls patterns from won deals to build reusable response playbooks. It includes copy-paste templates.

Reports are formatted in Markdown with a generation timestamp. Output splits into two sections: findings and recommendations with concrete examples. Without deal logs in the prompt or in project files, the skill has no real evidence to analyze.

What it helps with

  • extract recurring buyer objections from CRM notes
  • build response playbooks using successful sales records
  • format objection handling recommendations in Markdown
  • prepare copy-ready response templates for sales reps

Example prompts for the agent

  • Analyze lost deal notes in deals_lost.md and identify top price objections
  • Build an objection response playbook from successful contracts in won_deals.csv
  • Generate response templates for sales reps based on notes in notes/crm

How to install objection-pattern-detector

1Skills CLI (Vercel)

npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a claude-code

2Manually: put the files in place

~/.claude/skills/objection-pattern-detector/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/objection-pattern-detector/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about objection-pattern-detector

How do I install objection-pattern-detector in Claude Code?

Run npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a claude-code in your terminal. This adds the skill file to ~/.claude/skills/objection-pattern-detector/SKILL.md.

What does objection-pattern-detector do?

It inspects lost deal notes, detects recurring buyer hesitation patterns, and creates objection response playbooks based on successful sales.

What output format does the skill produce?

The skill generates a Markdown document with a timestamp header. It contains a results block with ready-to-copy templates followed by a recommendations section.

Source text

SKILL.md · MIT
---
name: objection-pattern-detector
description: Mine lost deal notes to identify recurring objection patterns. Create objection response playbooks from won deals.
---

# 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

```markdown
# 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!

© OneWave-AI · MIT · OneWave-AI/claude-skills

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