Back to Skills

objection-pattern-detector

OneWave-AI
Updated Today
15 views
11
4
11
View on GitHub
Metageneral

About

This Claude Skill analyzes lost deal notes to identify recurring objection patterns and creates response playbooks from successful deals. It helps sales teams develop proven objection-handling frameworks by mining both lost and won deal data. Developers can use this for sales enablement tools that generate actionable recommendations and ready-to-use response templates.

Documentation

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!

Quick Install

/plugin add https://github.com/OneWave-AI/claude-skills/tree/main/objection-pattern-detector

Copy and paste this command in Claude Code to install this skill

GitHub 仓库

OneWave-AI/claude-skills
Path: objection-pattern-detector

Related Skills

subagent-driven-development

Development

This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.

View skill

algorithmic-art

Meta

This Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.

View skill

executing-plans

Design

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

View skill

cost-optimization

Other

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

View skill