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Lists available AI models from providers in a numbered format, shows configuration status, and switches default model for this session via user selection.
How this command is triggered — by the user, by Claude, or both
Slash command
/meigen:modelsThe summary Claude sees in its command listing — used to decide when to auto-load this command
# Models & Provider Status Show available models and let the user switch the default for this session. ## Instructions 1. Call `mcp__meigen__list_models` to get all available models and providers 2. Present results in a compact numbered list: - For MeiGen models: `[N] Model Name (ID: xxx) — X credits, ratios: ...` - For ComfyUI workflows: `[N] workflow-name — checkpoint, steps, sampler` - For OpenAI-compatible: `[N] model-name (via custom API)` 3. Show current configuration status (which providers are active) 4. Ask: "Enter a number to set as default model for this session, or p...
Show available models and let the user switch the default for this session.
mcp__meigen__list_models to get all available models and providers[N] Model Name (ID: xxx) — X credits, ratios: ...[N] workflow-name — checkpoint, steps, sampler[N] model-name (via custom API)generate_image calls in this session, automatically pass this model ID/meigen:setupThe model switch is session-scoped — it persists in the conversation context, not in config files. When the user starts a new session, the default resets to the provider's default model.
npx claudepluginhub jau123/meigen-ai-design-mcp --plugin meigen/view-modelsDisplays current AI model configuration for Task Master, including main, research, and fallback providers with status, available models, and setup suggestions.
/model-configLaunches an interactive wizard to detect installed AI providers, display current settings, and configure model routing for Claude Octopus workflows.
/modelsViews and switches between Gemini model presets for the video-research MCP server. Displays current config or applies a given preset.
/profileSwitches the active model profile. Presets: quality, balanced, budget, adaptive. Supports custom profiles from config.json model_profiles.
/modelsLists all available pre-trained classification models in a formatted table with name, description, and categories. Suggests relevant models based on user context.