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.
npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a claude-codeWhat 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-code2Manually: put the files in place
~/.claude/skills/objection-pattern-detector/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/objection-pattern-detector/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a codex2Manually: put the files in place
.agents/skills/objection-pattern-detector/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a cursor2Manually: put the files in place
.cursor/skills/objection-pattern-detector/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OneWave-AI/claude-skills objection-pattern-detector2Manually: put the files in place
.github/skills/objection-pattern-detector/SKILL.md1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a gemini-cli2Platform CLI
gemini skills install https://github.com/OneWave-AI/claude-skills --path objection-pattern-detectorManually: put the files in place
.devin/skills/objection-pattern-detector/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill objection-pattern-detector -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
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