Individual skill
anime-animation-production
Produce anime-style and stylized 2D animation with generative image and video tools as a craft discipline, not a filter. Use when a request asks for anime, manga-style, cel-shaded, sakuga, shonen/shojo/seinen/slice-of-life, mecha, or retro-90s-OVA animation; when planning shots, motion, and cutting rhythm to anime convention; when holding a character on-model and preventing style drift across shots or episodes; when choosing prompting vocabulary that actually controls anime look; when pairing voice, music, and impact SFX to stylized action; and when navigating the cultural, IP, and platform-policy sensitivities of AI anime (studio/artist style imitation, fan-art and IP boundaries, disclosure and monetization). This is provider-neutral; models are named only as illustrative options.
skills/production/content-formats/anime-animation-production/SKILL.md
Source commit 8c85352d5d75d4dcbe58480bd138e37b9742bab1
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- Matches the observed repository HEAD
- Yes
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- Yes
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- No
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 241
- Repository last updated
- Jul 14, 2026
- License
- MIT
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- agent Repository topic
- agentic-ai Repository topic
- ai Repository topic
- ai-audio Repository topic
- ai-video Repository topic
- claude Repository topic
- codex Repository topic
- copilot Repository topic
- cursor Repository topic
- generative-media Repository topic
- engineering Derived category
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# Anime and stylized 2D animation production
Anime is not a preset. It is a set of production conventions born from hand-drawn
cel animation under tight schedules: flat color, hard-edged shading, deliberately
uneven frame timing, and a shot grammar that spends motion where it matters and
freezes everywhere else. Generative tools can reproduce the *surface* of that look
easily, and the *grammar* almost never by default. The value an agent adds is the
grammar — knowing which convention a given genre and beat calls for, encoding it into
prompts and shot plans, and reviewing output against the things that actually break
the illusion.
This skill covers the craft as production knowledge. It is provider-independent. Any
model named (Sora, Kling, Vidu, Wan, PixVerse, Midjourney, etc.) is an illustrative
option, dated where its behavior is volatile — never the method itself.