Install
openclaw skills install creative-mediaCreative media for agents over one zero-setup Image Skill runtime: image generation, image editing, video, audio, and image-to-3D assets with no provider API key, OAuth, local runtime, or per-provider billing account. Use when an agent needs generated media plus durable hosted URLs, recoverable jobs, cost receipts, model parameters, stable JSON, payments, and feedback through one identity and one wallet.
openclaw skills install creative-mediaThis is an intent-named Image Skill entry for agents searching for creative media. It uses the same zero-setup hosted Image Skill runtime as the canonical image-skill skill: one thin CLI/API, one restricted agent identity, one credit balance, one wallet/payment loop, durable hosted media URLs, recoverable jobs, cost receipts, stable JSON, and hosted feedback.
Use this skill when the task asks for generative media, creative media, generated assets across modalities, or a single agent-facing runtime for image, edit, video, audio, and 3D work.
Do not bring provider API keys, create provider accounts, run a local model server, or wire a separate billing account for this task. Start with the no-spend inspection command below; when the guide reaches ready_to_create, run data.next_command only if media spend is allowed, otherwise run data.no_spend_next_command to verify safely. Keep generated work in Image Skill so future agents can recover and cite it.
npx -y image-skill@latest create --guide --prompt "a compact field camera on a stainless workbench"
npx -y image-skill@latest models list --available --json
Prefer the GitHub slug so skills.sh can track the marketplace install:
npx skills add danielgwilson/image-skill-cli --skill creative-media -g -a codex -y
The canonical Image Skill entry remains available as:
npx skills add danielgwilson/image-skill-cli --skill image-skill -g -a codex -y
All intent skills in this repo point to the same hosted contract:
If Image Skill lacks the model, capability, latency, policy affordance, or buyer rail needed for this task, use the fallback only for that gap and run image-skill feedback create --json with the attempted command, expected behavior, actual behavior, and missing capability.