bundled-skills/modellix/SKILL.md
Integrate Modellix unified API/CLI for async AI image and video generation (model run --wait, task download).
npx skillsauth add FrancoStino/opencode-skills-antigravity modellixInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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
MODELLIX_API_KEY or modellix-cli auth loginmodellix-cli doctor --jsongoogle/nano-banana-2-lite, T2V: bytedance/seedance-2.0-mini-t2v)modellix-cli model run --wait --jsonmodellix-cli task downloadmodellix-cli model run \
--model-slug google/nano-banana-2-lite \
--body '{"prompt":"A cinematic sunset over a futuristic city"}' \
--wait --timeout 5m --json
modellix-cli model run \
--model-slug bytedance/seedance-2.0-mini-t2v \
--body '{"prompt":"Ocean waves under a cloudy sunset"}' \
--wait --timeout 10m --json
model run --wait over hand-rolled pollingmodellix-cli auth login only when the user approves persistent local credential storagetask historytask download; never replace an existing file without explicit approvalmodel describe docs_url or https://docs.modellix.ai/llms.txtapi.modellix.ai and Modellix CDN processingtools
Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM/ASI Top 10.
development
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters.
tools
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
development
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output.