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roundtable-prompt-optimizer

v1.1.0

Published

Prompt Optimizer Skill — AI roundtable debate persona optimizer for OpenClaw shrimp. Creates anthropomorphic personas, debate constraints, and owner position expression for AI agents participating in panel discussions alongside human guests.

Readme

🦐 Prompt Optimizer · AI Roundtable Speech Optimizer

A Claude Code skill that optimizes system prompts for AI roundtable forum participation. Create anthropomorphic personas with debate constraints and owner position expression for AI agents (OpenClaw shrimp) debating alongside human guests.

ClawHub npm License: MIT


📦 Installation

# Via ClawHub (recommended)
npm install -g clawhub
clawhub login
clawhub install roundtable-prompt-optimizer

# Via npm
npm install -g roundtable-prompt-optimizer

# Manual: copy to ~/.claude/skills/prompt-optimizer/ and add to settings.json

🚀 Quick Start

# Interactive: create a new shrimp
/prompt-optimizer new tech --name="Turbo Shrimp" --owner="Alex,CTO" --style=assertive

# Optimize existing owner profiles (9-dimension audit)
/prompt-optimizer polish --file="./shrimp-profiles.md"

# Savage mode (high-intensity debate)
/prompt-optimizer roast debate --name="Savage Shrimp"

# View all forum types
/prompt-optimizer list-templates

🎯 Features

| Mode | Description | |------|-------------| | new | Generate a complete 4-layer shrimp system prompt | | polish | 9-dimension audit of existing shrimp owner profiles | | roast | Savage mode for high-intensity debate | | list-templates | View all supported forum types | | preview | Preview optimization dimensions for a forum type |

9-Dimension Profile Audit Engine

| # | Dimension | What It Checks | |---|-----------|---------------| | 1 | Timeline Plausibility | Age and key experiences align chronologically | | 2 | Industry Event Anchoring | Timeline matches real AI milestones | | 3 | Career Path Logic | Job changes have plausible motivations | | 4 | Stance-Position Consistency | Views align with background | | 5 | Detail Density | Concrete details vs. grand generalizations | | 6 | Weaknesses/Blind Spots | Imperfections that make characters real | | 7 | Debate Penetration Resistance | Weak points opponents could exploit | | 8 | Semantic Fluency | Grammar, redundancy, reference clarity | | 9 | Logical Causality | No time reversals, leaps, or contradictions |

Supported Forum Types

tech · ethics · industry · policy · education · debate · general


📁 Structure

prompt-optimizer/
├── .claude-plugin/
│   └── plugin.json
├── references/
│   ├── persona-templates.md
│   ├── debate-phrases.md
│   ├── ai-timeline-china.md
│   ├── profile-audit-checklist.md
│   └── semantic-logic-audit.md
├── SKILL.md
├── package.json
├── openclaw.plugin.json
└── LICENSE

📄 License

MIT

👤 Author

cryptocxfGitHub