A multi-turn dialogue skill that orchestrates simulated roundtable discussions between three expert personas to provide deep, multi-perspective insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install roundtable-pai
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install roundtable-pai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Roundtable Pai?
Roundtable Pai is a sophisticated multi-turn conversation framework designed for Openclaw Skills. Unlike standard one-shot generators, this skill facilitates a structured debate between three distinct simulated personas chosen from an expert registry. It uses a dedicated state-management controller to ensure continuity and logical progression across multiple interaction rounds, allowing users to explore complex topics through a simulated panel of masters.
The skill is built on a foundation of safety and state persistence, relying on a local JSON runtime to track the conversation rather than just model memory. This ensures that every character stays in persona and every discussion follows a rigorous, high-quality analytical framework.
Roundtable Pai Use Cases
- Simulating expert panels to analyze philosophical, technical, or strategic questions.
- Exploring diverse viewpoints on a single topic through interactive multi-turn dialogue.
- Generating high-quality character-driven content based on historical or professional personas.
- Structured brainstorming where the user can intervene, agree, or steer the direction of a multi-agent debate.
How Roundtable Pai Works
- The user initiates the skill by posing a question or using a trigger phrase like start roundtable.
- The system executes a controller script to pull a pool of experts and asks the user to select three participants.
- Once personas are selected, the skill initializes the first round of discussion, referencing persona-specific data and discussion frames.
- After each round, the user is presented with options (A/B/C/D/E) to agree with a specific expert, stay silent, or contribute their own input.
- The controller script processes each turn, updating the state in a local JSON file to maintain consistency.
- Upon reaching the round limit or a natural conclusion, the skill generates a final summary across six structured fields.
Roundtable Pai Setup
To deploy Roundtable Pai within your Openclaw Skills environment, ensure the controller script and data directories are correctly mapped.
# Example of manually triggering the controller for state initialization
python3 ${CLAUDE_SKILL_DIR}/scripts/roundtable_controller.py --stdin <<'EOF'
Should silicon-based intelligence eventually replace biological life?
EOF
Ensure that the runtime/ directory is writable for the skill to maintain the roundtable_state.json file, and that the references/ folder contains the necessary persona and frame markdown files.
Roundtable Pai Data Schema & Taxonomy
The skill organizes its operations through a strict directory and file structure to ensure isolation and data integrity:
| File/Path | Purpose |
|---|---|
data/character_registry.json |
The master list of available expert personas and their metadata. |
runtime/roundtable_state.json |
Tracks the current round, selected characters, and the history of the debate. |
references/personas/*.md |
Detailed behavioral profiles and linguistic styles for each expert. |
references/discussion-frames/*.md |
Templates that define the logical flow and quality standards of the debate. |
Roundtable Pai Advanced Features
- State-persistent multi-turn logic that prevents context drift during long discussions.
- Character-driven simulation using specialized linguistic modeling for distinct expert voices.
- Structured user interaction hooks (A/B/C/D/E) for precise control over the simulation flow.
- Strict security auditing that utilizes heredoc stdin to prevent shell injection and path traversal attacks.
SKILL.md
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