Use when applying eeg montage troubleshooting.
Scanned 9/10/2026
Install to Claude Code
Skills Directorynpx -y skills add LoopyLuci/Skills --skill eeg-montage-troubleshooting --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: eeg-montage-troubleshooting
description: "Use when applying eeg montage troubleshooting."
version: 1.0.0
author: Hermes Agent
license: MIT
platforms: [linux, macos, windows]
metadata:
hermes:
tags: [neurotech, eeg, montage]
related_skills: [general]
---
## Overview
Design EEG montages.
## When to Use
- Design and implement
- Apply best practices
- Optimize performance
- Troubleshoot issues
## Key Approaches
1. Define requirements
2. Choose tools
3. Implement modular
4. Test thoroughly
5. Document decisions
6. Monitor results
## Common Pitfalls
1. Ignoring constraints
2. Skipping standards
3. Poor alignment
4. Inadequate testing
5. No documentation
6. Over-engineering
7. No rollback
8. No monitoring
9. No scalability
10. No validation
## Verification Checklist
- [ ] Requirements validated
- [ ] Standards applied
- [ ] Design reviewed
- [ ] Tests defined
- [ ] Docs complete
- [ ] Monitoring configured
- [ ] Rollback planned
- [ ] Security checked
- [ ] Deploy verified
- [ ] Stakeholder approved
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
