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Anime Series Maker

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Mayzmei
anime-series-maker

Turn 2–3 character sheets + one line of story into a finished, postable 2D anime episode (15–90 s) — and keep making the next one with the same cast. Plans the hook, writes a per-second shot script with in-character dialogue, generates each ≤15 s clip on Renoise (Seedance-class video models via Renoise MCP), checks every clip, edits the cut, makes an Instagram-safe cover and writes the caption. Use when the user says "make an anime episode", "next episode", "anime series", "fan anime", "AI anime short", "番剧", "动漫短片", "下一集", "连载", "同人动画", "アニメ", or hands over character sheets and a story idea. NOT for remaking a specific reference video shot-for-shot (use a remake skill), or for realistic talking-head / UGC videos.

Overview

PublisherMayzmei
Repositoryanime-series-maker
Skill nameanime-series-maker
Stars
128
Forks
14
Bundled files
9
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Mayzmei on GitHub. Read the source before you install it.

Installation

Install the Anime Series Maker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Mayzmei/anime-series-maker/tree/main/skills/anime-series-maker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Mayzmei/anime-series-maker.git /tmp/anime-series-maker
mkdir -p .claude/skills
cp -r /tmp/anime-series-maker/skills/anime-series-maker .claude/skills/anime-series-maker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Anime Series Maker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Anime Series Maker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Anime Series Maker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Anime Series Maker

One series = one fixed cast, one fixed art style, one fixed voice setup, stored in series.json. Every episode reuses it, so episode 30 looks like episode 1.

The pipeline was built while making a fan-anime series on Instagram (top episodes: 651K / 546K / 346K views). Every rule in references/pitfalls.md is a mistake that cost real credits once. Read it before generating anything.

0. setup check ─► 1. series bible (once) ─► 2. hook ─► 3. script ─► 4. build + validate prompts
   ─► 5. quote credits → user says yes → clip 1 → user checks → rest
   ─► 6. QA every clip (retake whole clips) ─► 7. edit ─► 8. cover ─► 9. caption ─► 10. log episode

Work in a project folder chosen by the user (default ./my-series/):

my-series/
  series.json            # the bible — cast, style, voices, settings, running gags
  sheets/                # character sheets (design references)
  episodes.json          # log of every episode: premise, hook, views (to avoid repeats, learn what works)
  ep07-cat-girl/
    episode.json         # the script
    prompts/clip01.txt … # built by scripts/build_prompt.py
    clips/clip01.mp4 …   # downloaded results
    ep07_final.mp4  ep07_cover.png  caption.md

0 · Setup check (skip what already works)

  • Renoise MCP connected: call get_account. Balance 0 → stop and tell the user generation needs credits. Not connected → point them to the README "Connect Renoise" table.
  • ffmpeg / ffprobe on PATH, python3 with Pillow (python3 -m pip install pillow).
  • Before choosing any model: load_skill model-routing, then list_models for the chosen model's real limits (max duration per clip, ratios, whether it generates audio). Don't trust model names from memory.

1 · Series bible (first time only)

Ask everything in one message:

  1. Cast — 2–3 characters. Character sheets ready? (turnaround / full-body design sheets work best)
    • No sheets → generate them first (image model from model-routing, 1K, plain light background, front + side + back + 3 expressions, no text). Show them; iterate until approved. Sheets are the single biggest factor in consistency.
  2. Personality + voice per character — one line each (e.g. "proud rich-girl tsundere, blushes instantly, voice cracks when flustered").
  3. Art style — offer the presets in references/style-presets.md with a recommendation (default: Soft Watercolor).
  4. Dialogue language — Japanese is the default for anime (sounds most "anime" to every audience); English / Chinese / Korean also work.
  5. Ratio — 16:9 (YouTube / X, default) or 9:16 (Reels / TikTok / Shorts).

Then:

  • Upload the sheets with upload_files → write each material:<id> into series.json.
  • Fill series.json from templates/series.json. The look field must restate every visible design detail (hair length/colour/parting, eyes, uniform pieces, shoes, props). The model re-reads it every clip — vague looks drift.

2 · Hook first, then plot

Short anime lives or dies on the premise. Before writing any script, offer 3 one-line premises with one top pick, using references/hooks.md (formulas that actually got views: transformation, fake-out that fails in 3 seconds, catchphrase ×3, "she wants X but can't admit it", a tiny everyday moment with the viewer as "you"). Check episodes.json so you never repeat a premise, and reuse running gags from series.json.

3 · Script → episode.json

Copy templates/episode.json. Rules:

  • Clips ≤ the model's max duration (usually 15 s). An episode is 1–6 clips. Each clip must be a complete mini-scene with its own beat; the cut between clips is a hard scene cut, never mid-action.
  • About one shot per 2–3 s, each with action, dialogue, sfx, camera (format in references/prompt-framework.md).
  • Dialogue in the series language, in character. Short lines (≤ ~2.5 s spoken each). Write new lines — never translate or paraphrase lines from an existing show or video.
  • Start on the story. No title card, no cold-open teaser. First shot = the situation.
  • End each clip on a readable reaction (blush, smirk, door slam) — it gives the editor a clean cut point.
  • Describe copyrighted characters only by appearance in prompts (the bible does this already); never put franchise or character names in prompts.

Show the user the script as a compact table (time · shot · line) and wait for approval or edits.

4 · Build + validate prompts

bash
python3 scripts/build_prompt.py my-series/series.json my-series/ep07-cat-girl/episode.json

It writes prompts/clipNN.txt (opening directive → reference mapping → character consistency → STYLE → VOICES → setting → FOCUS → CHARACTER DESIGN → per-shot list → FINAL VISUAL → no-text block) and exits non-zero if anything is wrong: missing sheet IDs, placeholders left, a shot without Dialogue/SFX/Camera, shots past the clip duration, prompt suspiciously short. Never submit if it fails. Never pass a prompt to create_tasks from a file you didn't just build and check.

5 · Quote → approve → clip 1 → rest

  1. estimate_cost with every planned clip (model, duration, ratio, audioGeneration: true, the sheet references with role reference_image).
  2. Show: clips · seconds · credits · balance. Stop and wait for the user's explicit "yes" in chat.
  3. create_tasks for clip 1 only, wait_tasks, show it. Ask: characters right? voices right? style right?
  4. Only then submit the remaining clips (one create_tasks call, ≤10 tasks, each with an idempotencyKey like ep07-clip02).

References: every clip gets all sheets of the characters who appear, in the order the prompt maps them (@material:<id> in the prompt = the same material in references).

6 · QA every clip

download_results → clips/clipNN.mp4. For each clip check (use analyze_media on the task, plus your own frame grabs: ffmpeg -ss <t> -i clip.mp4 -frames:v 1 f.jpg at 4 points):

  • Characters match the sheets (hair length & colour, eye colour, outfit, props). No sheet layout / white panels in frame.
  • No subtitles, speech bubbles or garbled text burned in.
  • Voices: right language, right gender per character, the scripted lines (not random ones).
  • Story logic: who talks faces who; cause → effect reads; the last beat lands.
  • Style stayed 2D (no sudden photoreal / 3D shots).

Fail → regenerate the whole clip (same prompt, or tighten the failing part). Never splice a partial retake into a clip — it never looks seamless. Tell the user what failed and the retake cost before resubmitting.

7 · Edit

bash
python3 scripts/assemble.py my-series/ep07-cat-girl/clips/clip0{1,2,3}.mp4 -o my-series/ep07-cat-girl/ep07_final.mp4 \
    [--trim 1:0.2:0.4] [--bgm music.mp3 --bgm-db -20] [--watermark logo.png] [--vertical]

What it does (see the script header): trims dead air, normalises every clip (fps, pixel format, colour range, SAR), joins with one re-encode (never -c copy — Instagram's transcoder drops segments when formats change mid-file), exports 1080p (lanczos + light sharpen, no AI upscaling), optional BGM bed under the generated dialogue, loudness to −14 LUFS, then decodes the result end-to-end and writes a contact sheet of every join (*_joins.jpg) — look at it.

Show the final cut to the user before making the cover.

8 · Cover

  • Refs: the character sheets first, then one frame from the episode as the scene reference. Frames alone make faces drift toward thick-paint / dark rendering.
  • Prompt the sheets' exact art style (copy the STYLE line) and the episode's key moment; describe characters by look, no names.
  • 9:16 canvas, but Instagram's grid crops to 3:4: no title or faces in the top/bottom 15%; the scene must still run full-bleed to the edges (never ask for "plain background" there — models paint a white band).
  • python3 scripts/cover_check.py cover.png → shows the 3:4 crop; check it before delivering.
  • Follow references/hooks.md → "Cover" for title rules (or no text at all for 小红书-style covers).

9 · Caption

Use references/hooks.md → "Captions": first line = the premise as one plain sentence aimed at "you", one punchline, a follow line, hashtags. Give each platform/language as its own code block.

10 · Log

Append to episodes.json: id, title, premise, hook line, clips, credits spent, date. When the user later tells you views, store them — next time, rank premise formulas by real views, not by taste.


Files

  • references/prompt-framework.md — the clip prompt structure, with a full worked example
  • references/style-presets.md — tested art-style blocks
  • references/hooks.md — premise formulas, cover and caption patterns
  • references/pitfalls.md — every expensive mistake and its fix (read before step 5)
  • templates/series.json, templates/episode.json
  • scripts/build_prompt.py, scripts/assemble.py, scripts/cover_check.py (Python 3 stdlib + ffmpeg; Pillow for the cover check)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Anime Series Maker AI skill do?

Turn 2–3 character sheets + one line of story into a finished, postable 2D anime episode (15–90 s) — and keep making the next one with the same cast. Plans the hook, writes a per-second shot script with in-character dialogue, generates each ≤15 s clip on Renoise (Seedance-class video models via Renoise MCP), checks every clip, edits the cut, makes an Instagram-safe cover and writes the caption. Use when the user says "make an anime episode", "next episode", "anime series", "fan anime", "AI anime short", "番剧", "动漫短片", "下一集", "连载", "同人动画", "アニメ", or hands over character sheets and a story ide...

Why use Anime Series Maker on TypingMind?

Because you install it once and use it with any model. Anime Series Maker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Anime Series Maker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mayzmei/anime-series-maker/tree/main/skills/anime-series-maker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Anime Series Maker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Anime Series Maker?

As many as you like. As long as a model supports skills, you can use Anime Series Maker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Anime Series Maker AI skill free?

Yes. It is published on GitHub by Mayzmei under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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