Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate images or videos via AIMLAPI from prompts. Use when Codex needs reliable AI/ML API media generation with retries, explicit User-Agent headers, and a...
Generate images or videos via AIMLAPI from prompts. Use when Codex needs reliable AI/ML API media generation with retries, explicit User-Agent headers, and a...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Generate images and videos via AIMLAPI with scripts that include retries, API key file fallback, verbose logs, and required User-Agent headers on every request.
export AIMLAPI_API_KEY="sk-aimlapi-..." python3 {baseDir}/scripts/gen_image.py --prompt "ultra-detailed studio photo of a lobster astronaut" python3 {baseDir}/scripts/gen_video.py --prompt "slow drone shot of a foggy forest"
Use scripts/gen_image.py with /v1/images/generations. python3 {baseDir}/scripts/gen_image.py \ --prompt "cozy cabin in a snowy forest" \ --model aimlapi/openai/gpt-image-1 \ --size 1024x1024 \ --count 2 \ --retry-max 4 \ --user-agent "openclaw-custom/1.0" \ --out-dir ./out/images
Use scripts/gen_video.py with the real async flow: POST /v2/video/generations (create task) GET /v2/video/generations?generation_id=... (poll status) download video.url when status is completed python3 {baseDir}/scripts/gen_video.py \ --model google/veo-3.1-t2v-fast \ --prompt "time-lapse of clouds over a mountain range" \ --poll-interval 10 \ --max-wait 1000 \ --user-agent "openclaw-custom/1.0" \ --out-dir ./out/videos
references/aimlapi-media.md: endpoint notes, async polling statuses, and troubleshooting. README.md: changelog-style summary of new instructions.
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