Integrate Modellix unified API/CLI for async AI image and video generation (model run --wait, task download).
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill modellix --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: modellix
description: "Integrate Modellix unified API/CLI for async AI image and video generation (model run --wait, task download)."
allowed-tools: "[claude, cursor, gemini]"
category: backend-and-data
source_repo: sickn33/agentic-awesome-skills
source_path: "skills/modellix/SKILL.md"
source_url: https://github.com/sickn33/agentic-awesome-skills/blob/HEAD/skills/modellix/SKILL.md
---
# Modellix
## Overview
Modellix is a Model-as-a-Service platform for AI image and video generation. This skill teaches agents to use the official `modellix-cli` workflow (doctor → model run --wait → task download).
Upstream package: https://github.com/Modellix/modellix-skill/tree/main/modellix-skill
## When to Use This Skill
- Generate images from text prompts
- Generate or edit videos from text or images
- Call Modellix models through a unified API/CLI
- The user mentions Modellix, Seedream, Seedance, Nano Banana, or similar providers via Modellix
## How It Works
1. Authenticate with `MODELLIX_API_KEY` or `modellix-cli auth login`
2. Run `modellix-cli doctor --json`
3. Use default models when unspecified (T2I: `google/nano-banana-2-lite`, T2V: `bytedance/seedance-2.0-mini-t2v`)
4. Submit with `modellix-cli model run --wait --json`
5. Persist outputs with `modellix-cli task download`
## Examples
### Text-to-image
```bash
modellix-cli model run \
--model-slug google/nano-banana-2-lite \
--body '{"prompt":"A cinematic sunset over a futuristic city"}' \
--wait --timeout 5m --json
```
### Text-to-video
```bash
modellix-cli model run \
--model-slug bytedance/seedance-2.0-mini-t2v \
--body '{"prompt":"Ocean waves under a cloudy sunset"}' \
--wait --timeout 10m --json
```
## Best Practices
- Prefer CLI `model run --wait` over hand-rolled polling
- Before a paid submission, disclose the provider, model, prompt or source media that will leave the machine, expected cost, and output path; obtain explicit user approval
- Prefer session-scoped API-key use; run `modellix-cli auth login` only when the user approves persistent local credential storage
- Do not blindly retry paid submissions after unknown outcomes — check `task history`
- Confirm the destination and overwrite policy before `task download`; never replace an existing file without explicit approval
- Fetch request schemas from `model describe` `docs_url` or https://docs.modellix.ai/llms.txt
## Security & Safety Notes
- Requires a Modellix API key; never print secrets in logs
- Prompts and uploaded source media leave the machine for `api.modellix.ai` and Modellix CDN processing
- Paid generation consumes account balance and must not be submitted or retried without the approval described above
## Limitations
- Requires a Modellix account, network access, a valid API key, and sufficient account balance.
- Model availability, request schemas, pricing, quotas, moderation, and generation time are controlled by Modellix and may change.
- Generated outputs require human review for quality, rights, privacy, and policy compliance before publication.
- This skill documents the CLI workflow only; it does not define a REST fallback or guarantee that a completed remote task downloads successfully.
---
**Source:** [`sickn33/agentic-awesome-skills`](https://github.com/sickn33/agentic-awesome-skills) → `skills/modellix/SKILL.md`
**Also appears in:** `sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills/skills/modellix/SKILL.md`, `sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/modellix/SKILL.md`
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