modellixlisted

Integrate Modellix's unified API for AI image, video, and audio workflows. Use this skill whenever the user wants to generate or edit images, create or transform videos, synthesize speech, transcribe audio, clone a voice, do virtual try-on, or call any Modellix model API. Also trigger when the user mentions Modellix, model-as-a-service for media generation, or providers such as Qwen, Wan, Seedream, Seedance, Kling, Hailuo, MiniMax, Whisper, or CosyVoice through a unified API, or when they ask for a Modellix model's request schema, OpenAPI contract, or required input fields. Prefer modellix-cli (model get-schema, model run --wait, task download, doctor, model list) over hand-rolled REST polling whenever the CLI is available.
Modellix/modellix-plugin · ★ 1 · AI & Automation · score 80

Install: claude install-skill Modellix/modellix-plugin

# Modellix Skill Modellix is a Model-as-a-Service (MaaS) platform for asynchronous image, video, and audio workflows. Prefer the official CLI (`modellix-cli`) so submit, wait, and download stay one coherent workflow. Host-specific persistent session guardrails also ship under `rules/*.mdc`. ## Official Docs - AI Onboarding: https://docs.modellix.ai/get-started.md - REST API: https://docs.modellix.ai/ways-to-use/api.md - Full Models Index: https://docs.modellix.ai/llms.txt - Docs MCP (search / read docs): https://docs.modellix.ai/mcp - CLI package (source of truth for CLI behavior): https://www.npmjs.com/package/modellix-cli ### Documentation lookup policy This plugin may expose the **Modellix Docs MCP** (`.mcp.json` → `https://docs.modellix.ai/mcp`). It is a **read-only documentation** server (`search_modellix`, docs filesystem query, optional feedback). It does **not** submit generation tasks, poll, download, or handle API keys. When looking up product/API/install docs vs request-body schema: 1. For **request/response schema**, use `modellix-cli model get-schema <slug>` (JSON is the default; the endpoint is public and needs no API key). If CLI is unavailable, use Docs MCP, then `docs_url` from `model describe` or https://docs.modellix.ai/llms.txt. 2. For **product/install narrative**, prefer Docs MCP when the host has it connected (search, then read the matching page). Else use `model describe <slug> --json` → `docs_url`, or browse `llms.txt` and fetch the model `.md`