How do I install the Multi Model Discussion skill?

Run npx skillmds@latest add tf-worldone/multi-model-discussion in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Multi Model Discussion safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Multi Model Discussion?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Multi Model Discussion free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Multi Model Discussion?

TF-WorldOne (@tf-worldone) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Multi Model Discussion by tf-worldone

Name: Multi Model Discussion
Rating: 4.5 (4 reviews)
Author: TF-WorldOne

Multi Model Discussion

Run a selectable multi-model panel with explicit discussion rounds before final synthesis. Use when the user asks multiple AI models to give independent opinions, then debate, discuss, critique, reconsider, or refine each other's views before final output. Supports model selection, available-model filtering, partial success, retries, cost/token logging, and configurable synthesizers.

TF-WorldOne Updated Sep 22, 2026

File contents

TawabaranPro - Discussion Model

Use this skill to send one task to selected model APIs, collect independent first answers, run one or more discussion/revision rounds, and have a configurable synthesizer produce the final result.

Panel

Use these LiteLLM API model routes and roles:

gpt-5.5: GPT 5.5 Pro respondent.
opus-4.8-max: Claude Opus 4.8 at max reasoning effort.
deepseek-v4-pro: DeepSeek V4 Pro respondent.
glm-5.2: GLM 5.2 respondent.
gemini-3.1-pro-deep-think: Gemini 3.1 Pro Preview with high thinking level for Deep Think behavior.
default synthesizer: gpt-5.5, overridable with --synthesizer.

Workflow

Run the helper script from the plugin root:

py ".\skills\multi-model-discussion\scripts\run_discussion.py" --prompt "USER TASK HERE"

Choose models and synthesizer:

py ".\skills\multi-model-discussion\scripts\run_discussion.py" --prompt "USER TASK HERE" --models opus-4.8-max,gemini-3.1-pro-deep-think --synthesizer opus-4.8-max

For long prompts:

py ".\skills\multi-model-discussion\scripts\run_discussion.py" --prompt-file "C:\path\to\task.txt"

The script starts the local LiteLLM router if needed, checks /v1/models, filters out models missing local API keys or LiteLLM registrations, calls usable respondent model APIs in parallel, then shows successful first-round answers to active models for discussion/revision rounds. It saves all raw outputs under %USERPROFILE%\.codex\tmp\multi-model-discussion\, then calls the selected synthesizer with fallback synthesizers if needed.

Use --discussion-rounds 2 or higher when the user explicitly wants deeper debate. Use the default single discussion round for normal use.

Use --dry-run to inspect planned models without chat completions. Use --retries, --timeout, --allow-partial, --synthesizer-fallbacks, --price-config, and --max-cost-usd for reliability and cost control.

Run artifacts include final.md, report.md, metadata.json, run.json, models/*.md, raw/*.response.json, and errors/*.log.

Output Rules

Preserve the initial independent answers separately from discussion outputs.
Make the discussion round critique, compare, correct, and refine the first answers using: agreements, disagreements, missing points, corrections, final recommendation, and confidence.
Do not let models roleplay each other; each model should revise its own view after seeing the others.
Return the selected synthesizer's final answer as the main answer.
Mention failed models only when the script reports a failure.
Use the same language as the user's task unless the task asks otherwise.

Failure Handling

If one model fails in either round, continue with the available successful answers by default. If the selected synthesizer fails, try fallback synthesizers. If all synthesizers fail, report the saved output directory and return the successful final discussion outputs manually.

---name: multi-model-discussiondescription: Run a selectable multi-model panel with explicit discussion rounds before final synthesis. Use when the user asks multiple AI models to give independent opinions, then debate, discuss, critique, reconsider, or refine each other's views before final output. Supports model selection, available-model filtering, partial success, retries, cost/token logging, and configurable synthesizers.---# TawabaranPro - Discussion ModelUse this skill to send one task to selected model APIs, collect independent first answers, run one or more discussion/revision rounds, and have a configurable synthesizer produce the final result.## PanelUse these LiteLLM API model routes and roles:- `gpt-5.5`: GPT 5.5 Pro respondent.- `opus-4.8-max`: Claude Opus 4.8 at max reasoning effort.- `deepseek-v4-pro`: DeepSeek V4 Pro respondent.- `glm-5.2`: GLM 5.2 respondent.- `gemini-3.1-pro-deep-think`: Gemini 3.1 Pro Preview with high thinking level for Deep Think behavior.- default synthesizer: `gpt-5.5`, overridable with `--synthesizer`.## WorkflowRun the helper script from the plugin root:```powershellpy ".\skills\multi-model-discussion\scripts\run_discussion.py" --prompt "USER TASK HERE"```Choose models and synthesizer:```powershellpy ".\skills\multi-model-discussion\scripts\run_discussion.py" --prompt "USER TASK HERE" --models opus-4.8-max,gemini-3.1-pro-deep-think --synthesizer opus-4.8-max```For long prompts:```powershellpy ".\skills\multi-model-discussion\scripts\run_discussion.py" --prompt-file "C:\path\to\task.txt"```The script starts the local LiteLLM router if needed, checks `/v1/models`, filters out models missing local API keys or LiteLLM registrations, calls usable respondent model APIs in parallel, then shows successful first-round answers to active models for discussion/revision rounds. It saves all raw outputs under `%USERPROFILE%\.codex\tmp\multi-model-discussion\`, then calls the selected synthesizer with fallback synthesizers if needed.Use `--discussion-rounds 2` or higher when the user explicitly wants deeper debate. Use the default single discussion round for normal use.Use `--dry-run` to inspect planned models without chat completions. Use `--retries`, `--timeout`, `--allow-partial`, `--synthesizer-fallbacks`, `--price-config`, and `--max-cost-usd` for reliability and cost control.Run artifacts include `final.md`, `report.md`, `metadata.json`, `run.json`, `models/*.md`, `raw/*.response.json`, and `errors/*.log`.## Output Rules- Preserve the initial independent answers separately from discussion outputs.- Make the discussion round critique, compare, correct, and refine the first answers using: agreements, disagreements, missing points, corrections, final recommendation, and confidence.- Do not let models roleplay each other; each model should revise its own view after seeing the others.- Return the selected synthesizer's final answer as the main answer.- Mention failed models only when the script reports a failure.- Use the same language as the user's task unless the task asks otherwise.## Failure HandlingIf one model fails in either round, continue with the available successful answers by default. If the selected synthesizer fails, try fallback synthesizers. If all synthesizers fail, report the saved output directory and return the successful final discussion outputs manually.

Frequently asked questions