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Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup (演讲体检) on the rendered deck. It never renders slides itself. Use before generating PPT/HTML slides from raw material, and after rendering when the user says things like "给这份 deck 做演讲体检" or "PPT 渲染质检". If all you want is one beautiful template page with no outline and no checkup, a rendering skill alone is enough.
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Open Design's incident retro: the daemon-restart data bug, the root cause, the fix, and the systemic follow-ups. Built as a decision-grade product management deck for engineering, SRE, leadership.
Open Design's enterprise AI-adoption brief: local-first agents at work, the risk controls, the ROI, and the rollout plan. Built as a decision-grade AI literacy deck for leadership, IT, security.
| name | fal-train |
| description | Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style. |
| triggers | ["fal train","train lora","custom model","personalized image gen","brand lora"] |
| od | {"mode":"image","category":"image-generation","upstream":"https://github.com/fal-ai-community/skills"} |
Curated from the fal.ai community team.
Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
image-generationThis catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory:
# Inspect the upstream README for exact paths
open https://github.com/fal-ai-community/skills
Then ask the agent to invoke this skill by name (fal-train) or with
one of the trigger phrases listed in this skill's frontmatter.