Modellix
Skill sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/modellix
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npx -y skills add sickn33/agentic-awesome-skills --skill modellixAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Integrate Modellix unified API/CLI for async AI image and video generation (model run --wait, task download).
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
3.2 KB, 680 tokens by cl100k_base, as published. Nobody here has run it
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
- Authenticate with
MODELLIX_API_KEYormodellix-cli auth login - Run
modellix-cli doctor --json - Use default models when unspecified (T2I:
google/nano-banana-2-lite, T2V:bytedance/seedance-2.0-mini-t2v) - Submit with
modellix-cli model run --wait --json - Persist outputs with
modellix-cli task download
Examples
Text-to-image
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
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 --waitover 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 loginonly 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 describedocs_urlor 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.aiand 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.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.