# Cartoon Studio > > - **Type:** Skill - **Install:** `agentstack add skill-domco685-ai-cartoon-studio-skill-skill` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [domco685](https://agentstack.voostack.com/s/domco685) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [domco685](https://github.com/domco685) - **Source:** https://github.com/domco685/ai-cartoon-studio-skill/tree/main/skill ## Install ```sh agentstack add skill-domco685-ai-cartoon-studio-skill-skill ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Studio Produce a complete episode + social kit from one idea. Read the project `CLAUDE.md` and `3d/style-bible-3d.md` first — they hold the brand facts, model IDs, voice id, costs, and lip-sync tips this skill depends on. Use the **3D Pixar** track by default. This is a multi-step production with **human approval gates**. Do NOT skip ahead to the expensive animation step before stills are approved. Announce each step and show results. ## Inputs you need before starting - The **video idea** (one line). If vague, ask 1–2 quick questions (which content pillar? any specific lesson/brand to feature?). - Confirm **resolution** (default 720p to conserve credits) and **track** (default 3D). - Keys present: `ELEVENLABS_API_KEY` and Higgsfield MCP connected. (`.env` gets reset by a linter — if a key is missing, re-add and `set -a; . ./.env; set +a`.) ## The 7 steps ### 1. Script → `episodes/.../script.md` Write a ~90s script in the beat structure (see `references/script-framework.md`). Open with "", land the lesson through story (never preachy), include the breathless gag once, end with the CTA + wink + "businesses can give more than they take. Hoo-hoo-hooray!". Split into 8–14 shots, each line ≤ ~13s of speech. Map which shots become the 6 carousel beats. **Get the script approved.** ### 2. Voice → `audio/shotNN.mp3` Generate each shot's line with ElevenLabs (`references/voice.md` has the exact API call, voice id ``, model `eleven_v3`, v3 delivery tags). Verify each is ≤15s (`afinfo`). Re-split any line that runs long. ### 3. Keyframe stills (SAMPLES) → `stills/shotNN.png` For each shot, generate a 2k 9:16 still with Higgsfield `nano_banana_pro` (image-to-image from the character refs in the style bible). Prefix every prompt with the 3D style block; for dialogue shots use an **open-mouth talking** pose. New scenes/characters: keep refs consistent. **Show all stills and get them approved** — this is the cheap iteration gate. ### 4. Animation → `video-clips/shotNN.mp4` (EXPENSIVE — only after stills approved) Animate each still with Higgsfield `wan2_7` (start_image = the still, audio = that shot's mp3), 720p, duration = audio length (≤15). Use the pause rule + exaggerated-but-controlled mouth prompt. For a guaranteed end pose (wink etc.) use start+end frames (max 2 medias → add voice in assembly). Then QA every fresh clip for lip-sync (see **Lip-Sync QA** below) before assembling. ### 5. Assemble the movie → `final/.mp4` Using the bundled `scripts/` (adapt per-episode content) + ffmpeg/PIL: - comic SFX pops via `make_sfx.py` overlaid on the right shots, - captions (`make_captions.py`) on book/CTA shots (top), subtitles (`gen_subs.py` + `burn_subs.py`) along the bottom, - normalize + concat (`build_3d.sh` pattern), then burn subs, then the **music dip** mix (generate a ~2min bed via Higgsfield `sonilo_music`; fade out on the key emotional-silence line, return after), then prepend the **~0.7s silent cover** (`make_intro.py` → first frame = thumbnail). See `references/assembly.md` for the exact ffmpeg recipe. ### 6. Slideshow + captions → `slideshow/` (9:16) + `slideshow/instagram/` (4:5) `python3 scripts/make_slides.py 1080 1920 slideshow` and `... 1080 1350 slideshow/instagram`. Point its SLIDES at the 6 beat stills; captions go in open space, never over the face/character. Then write **four** platform captions (run each through the `sound-human` skill) — one per destination, each genuinely its own (slides/carousel = swipe voice; video/reel = watch voice): `slideshow/caption-tiktok.txt` (TikTok slides), `slideshow/instagram/caption-instagram.txt` (IG carousel), `final/caption-video.txt` (TikTok video / general), `final/caption-reel.txt` (IG reel — not a clone of the TikTok video). YouTube's title/description are derived in step 7. **Every TikTok caption (slides AND video) must end with the `` block** — see `references/captions-and-distribution.md`. ### 7. Package per platform → `deliverables/` `/opt/homebrew/bin/python3 scripts/make_deliverables.py --title ""` (use a python with Pillow — it makes the 16:9 thumbnail + 4:5 cover). This assembles the VA-ready, **self-contained per-platform** tree from the step 5–6 outputs: - `deliverables/tiktok/{video,slides}` (9:16) · `instagram/{reel,carousel}` (4:5) - `youtube/short` (video-only — no carousel; gets a 16:9 `thumbnail.jpg` + `title.txt` / `description.txt` + a 9:16 `cover-9x16.jpg`) - `deliverables/README.txt` — a one-page "what to post where" for the VA. The video master is COPIED into each platform folder; **every folder gets its own format-correct `cover.jpg`** and its own caption. Fill the `` / `` placeholders in `make_deliverables.py` first. Hand back the `deliverables/` path. Keep a LOCKED copy + git tag of the approved master. ## Lip-Sync QA (run after step 4, before step 5) AI video models drive the mouth from the audio but routinely keep it flapping through pauses — the most common, most noticeable defect. `scripts/check_lipsync.py` automates the catch: it finds where the voice is silent and pulls the exact frame the model drew there. During silence the mouth must be **closed**; if it's open, that shot is broken and should be re-rendered. Always run this on a batch of fresh clips rather than spotting problems by eye. 1. **Run the checker per clip.** Prefer the clean VO mp3 via `--audio` (pure speech → clean silence detection; aligned at t=0 with the clip): ```bash python3 scripts/check_lipsync.py \ --video video-clips/shot08a.mp4 --audio audio/shot08a.mp3 \ --outdir video-clips/qa/shot08a ``` (Create the `qa/` dir first.) It prints a JSON manifest and writes `silence_s.png` (mouth should be CLOSED) + `speech_s.png` (control: mouth should be OPEN/moving). 2. **View frames + judge.** Read each `silence_*` frame: is the mouth closed? An open/mid-syllable mouth during silence = lip-sync error. `speech_*` frames are the sanity control. 3. **Verdict per shot:** PASS, or FLAG with timestamp(s) — e.g. "shot08a: FLAG — mouth open at 11.4s during a 0.6s pause." 4. **Fix by re-rendering** (not frame edits): re-run Wan with the pause rule stated emphatically. If a shot fails twice, shorten/remove the long pause in the voice line, then re-render. Tuning: `--noise` (default `-35dB`) is the silence threshold; `--min-silence` (default `0.35s`) is the shortest gap to flag. For a whole episode, loop over every clip and give one consolidated PASS/FLAG table. ## Guardrails - **Likeness:** never depict a real living person's recognizable face on this monetized kids' content. Use "inspired-by" characters; name real people in voiceover only. - **Cost:** stills are cheap, animation is not. Confirm before big animation batches; prefer 720p. Avoid Seedance. - **Tone:** wonder not shame; hope + action; simple but not dumb; parents enjoy it too. - Commit after each step. See `references/` for the script framework, voice API, assembly recipe, and model/style specs. ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [domco685](https://github.com/domco685) - **Source:** [domco685/ai-cartoon-studio-skill](https://github.com/domco685/ai-cartoon-studio-skill) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** yes - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-domco685-ai-cartoon-studio-skill-skill - Seller: https://agentstack.voostack.com/s/domco685 - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. 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