roundtable
Multi-agent debate council โ spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) for Round 1, then optional Round 2 cross-examination to challenge assumptions and strengthen the final synthesis. Configurable models and templates per role.
What this skill does
# Roundtable ๐๏ธ โ Multi-Agent Debate Council
[](./package.json)
[](https://www.clawhub.ai/skills/roundtable)
Spawn 3 specialized sub-agents in parallel to tackle complex problems. You (the main agent) act as **Captain/Coordinator** โ decompose the task, dispatch to specialists, run optional cross-examination, and synthesize the final answer.
## When to Use
Activate when the user says any of:
- `/roundtable <question>` or `/council <question>`
- `/roundtable setup` (interactive setup wizard)
- `/roundtable config` (show saved config)
- `/roundtable help` (command quick reference)
- "ask the council", "multi-agent", "get multiple perspectives"
- Or when facing complex, multi-faceted problems that benefit from diverse expertise
**DO NOT use for:** Simple questions, quick lookups, casual chat.
## Architecture
```
User Query
โ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CAPTAIN (Main Agent Session) โ
โ Parse flags + assign roles โ
โโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโ
โ โ โ
โผ โผ โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ SCHOLAR โโENGINEER โโ MUSE โ
โ Round 1 โโ Round 1 โโ Round 1 โ
โโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโฌโโโโโ
โ โ โ
โโโโโโโโฌโโโโดโโโโฌโโโโโโโ
โผ โผ
Captain summary of all findings
โ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ SCHOLAR โโENGINEER โโ MUSE โ
โ Round 2 โโ Round 2 โโ Round 2 โ
โ critiqueโโ critiqueโโ critiqueโ
โโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโฌโโโโโ
โ โ โ
โโโโโโโโฌโโโโดโโโโฌโโโโโโโ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CAPTAIN final synthesis โ
โ consensus + dissent + confidenceโ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
```
## Interactive Setup
When the user sends `/roundtable setup`, run a guided, conversational setup and ask **ONE question at a time**.
Use Telegram-friendly option formatting with inline button style labels (`A)`, `B)`, `C)`).
Do not ask all steps at once.
### Step 1: Models
Ask exactly:
"๐๏ธ Let's set up your Roundtable! First, how do you want to configure models?
A) ๐ฏ Single model for all agents (simple, cost-effective)
B) ๐ Different models per role (maximum diversity)
C) ๐ฆ Use a preset (cheap/balanced/premium/diverse)"
Branching:
- If user picks **A** โ ask: which model to use for all roles.
- If user picks **B** โ ask one-by-one for: Scholar model, Engineer model, Muse model.
- If user picks **C** โ ask which preset: `cheap`, `balanced`, `premium`, or `diverse`.
### Step 2: Round 2
Ask exactly:
"Do you want Round 2 cross-examination by default? (Agents challenge each other's findings โ better quality but 2x cost)
A) โ
Yes, always (recommended for important decisions)
B) โก No, quick mode by default (faster, cheaper)
C) ๐คท Ask me each time"
Interpretation:
- **A** โ `round2: true`
- **B** โ `round2: false`
- **C** โ `round2: "ask"`
### Step 3: Language
Ask exactly:
"What language should the council respond in?
A) ๐ฌ๐ง English
B) ๐ฉ๐ช Deutsch
C) ๐ช๐ธ Espaรฑol
D) Other (specify)"
Interpretation:
- **A** โ `language: "en"`
- **B** โ `language: "de"`
- **C** โ `language: "es"`
- **D** โ store user-provided language value.
### Step 4: Session Logging
Ask exactly:
"Should I save council sessions for future reference?
A) โ
Yes, save to memory/roundtable/
B) โ No logging"
Interpretation:
- **A** โ `log_sessions: true`, `log_path: "memory/roundtable"` (fixed path, not configurable for security)
- **B** โ `log_sessions: false`
**โ ๏ธ SECURITY:** The log path is ALWAYS `memory/roundtable/` relative to the workspace. Custom paths are NOT allowed to prevent path traversal attacks.
### Step 5: Confirmation + Write
Show a concise summary of all collected choices and ask user to confirm.
Only after confirmation, write `config.json` in this skill directory.
Required command behavior:
- `/roundtable config` โ Show current `config.json` if it exists, otherwise: `No config found, run /roundtable setup to configure.`
- `/roundtable help` โ Show quick reference:
- `/roundtable <question>` โ ask the council
- `/roundtable setup` โ interactive setup wizard
- `/roundtable config` โ show current config
- `/roundtable help` โ this help
## Model Configuration
Users can specify models per role. Parse from the command or use defaults.
### Modes
**Single-model mode** (same model, different perspectives):
```
/roundtable <question>
/roundtable <question> --all=sonnet
```
All 3 agents use the SAME model but with different system prompts and focus areas. This is the simplest setup โ the value comes from the **different perspectives**, not necessarily different models.
**Multi-model mode** (different models per role):
```
/roundtable <question> --scholar=codex --engineer=codex --muse=sonnet
```
Each agent runs on a different model optimized for its role. This is the power configuration โ different models bring genuinely different reasoning patterns.
### Syntax
```
/roundtable <question> # defaults (balanced preset)
/roundtable <question> --all=sonnet # single model, 3 perspectives
/roundtable <question> --scholar=codex --engineer=opus # mix (unset roles use default)
/roundtable <question> --preset=premium # all opus
/roundtable <question> --preset=cheap --quick # all haiku, skip Round 2
```
### Defaults (if no model specified)
| Role | Default Model | Why |
|------|--------------|-----|
| ๐๏ธ Captain | User's current session model | Coordinates & synthesizes |
| ๐ Scholar | `codex` | Cheap, fast, good at web search |
| ๐งฎ Engineer | `codex` | Strong at logic & code |
| ๐จ Muse | `sonnet` | Creative, nuanced writing |
**Note:** Even with `--all=<model>`, each agent still gets its own specialized system prompt. The model is the same but the focus is different โ Scholar searches and verifies, Engineer reasons and calculates, Muse thinks creatively. One model, three expert lenses.
### Model Aliases (use in --flags)
- `opus` โ Claude Opus 4.6
- `sonnet` โ Claude Sonnet 4.5
- `haiku` โ Claude Haiku 4.5
- `codex` โ GPT-5.3 Codex
- `grok` โ Grok 4.1
- `kimi` โ Kimi K2.5
- `minimax` โ MiniMax M2.5
- Or any full model string (e.g. `anthropic/claude-opus-4-6`)
### Presets
- **`--preset=cheap`** โ all haiku (fast, minimal cost)
- **`--preset=balanced`** โ scholar=codex, engineer=codex, muse=sonnet (default)
- **`--preset=premium`** โ all opus (max quality, high cost)
- **`--preset=diverse`** โ scholar=codex, engineer=sonnet, muse=opus (different perspectives)
- **`--preset=single`** โ all use session's current model (cheapest multi-perspective)
## Budget Controls
Before dispatching, Captain shows a quick estimate:
```
๐ Estimated cost: ~3x single-agent (Quick mode)
๐ Estimated cost: ~6-10x single-agent (Full with Round 2)
```
- `--confirm`: when set, Captain asks **"Proceed? (Y/N)"** before dispatching (especially useful for premium presets).
- `--budget=low|medium|high`:
- `low`: forces `--preset=cheap --quick` (haiku, no Round 2)
- `medium`: default balanced preset with Round 2
- `high`: premium preset with Round 2
- `config.json` may include optional `max_budget` (`"low"`, `"medium"`, or `"high"`) to cap spending globally.
## Flag Precedence
When multiple model/budget flags are present, resolve in this exact order:
1. `--budget`
2. `--preset`
3. `--all`
4. Role-specific flags (`--scholar`, `--engineer`, `--muse`)
5. `config.json` defaults
## Templates
Use templates to customize each roleโs emphasis for specific domains.
| Template | Scholar Focus | Engineer Focus | Muse Focus |
|----------|--------------|----------------|------------|
| `--template=code-review` | Check docs, similar issues, best practices | Review logic, find bugs, security | UX, naming, readability |
| `--template=investment` | Market dRelated in AI Agents
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