Use when the user wants to build a consistent-identity LoRA for an original character — defining the character, generating a face/body-consistent multi-angle dataset (via the gpt-image-gen skill for codex image generation), captioning it, doing base-specific homework, training on a chosen base (Pony / Z-Image / others) on a local GPU, and producing a usable LoRA. This skill ORCHESTRATES the end-to-end pipeline and gates every expensive/irreversible step; it delegates actual image generation to gpt-image-gen and never improvises training settings from memory.
$npx -y skills add kerberosclaw/kc_ai_skills --skill character-loraInstalls into the current project.
Run `npx skills use "https://github.com/kerberosclaw/kc_ai_skills" --skill "kerberosclaw/kc_ai_skills/character-lora"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/kerberosclaw/kc_ai_skills" that are relevant to the current task. Run `npx skills add "https://github.com/kerberosclaw/kc_ai_skills"` and select the relevant skills, then follow their instructions.