What is producing-animated-episodes?

A configuration-driven engine for producing narrated animated episodes from photos, scripts, chat exports, or story ideas. It creates timed shots, subtitles, audio, animation, and lip-sync for a complete episode.

Use it to make voiced vertical videos with recurring characters, multilingual or right-to-left text, music, subtitles, and timed scene assembly.

It keeps timing based on the finished dialogue audio, reducing mistakes when joining speech, shots, subtitles, and mouth animation.

producing-animated-episodes — Skill for Claude Code by shaharsha

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add shaharsha/claude-skills --skill producing-animated-episodes

Clone the repo

git clone --depth 1 https://github.com/shaharsha/claude-skills

Made for: Claude Code.

Or install video-production, the plugin that ships this one along with the rest of its 2 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/shaharsha/claude-skills/producing-animated-episodes/github.svg)](https://agentmods.dev/skills/shaharsha/claude-skills/producing-animated-episodes)

Your own site

<a href="https://agentmods.dev/skills/shaharsha/claude-skills/producing-animated-episodes"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/producing-animated-episodes/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/shaharsha/claude-skills/producing-animated-episodes"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/producing-animated-episodes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,430 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00126	$0.02430
Opus 5.5	$0.00050	$0.00972
Sonnet 5.5	$0.00025	$0.00486
Haiku 4.5	$0.00013	$0.00243

Measured 15d ago against content hash e09e0904f742, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

producing-animated-episodes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.

The scan reads SKILL.md. This mod also ships 18 executable files (engine/audio.py, engine/config.py, engine/demo.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/producing-animated-episodes/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Producing animated episodes

Overview

A vertical, voiced, subtitled, animated episode: character art, panels, cloned or library voices, music, image-to-video clips and lip-sync, cut by an engine that times every shot from the real dialogue audio. One episode.json holds the whole project, and engine/episode.py runs every phase from it. The sibling skills do the provider work.

Use the engine; don't write your own edit scripts. Timeline, overlays, subtitles, right-to-left text, the mix, durations and lip-sync joins are already in engine/. It was proven by rebuilding a real 3.5-minute episode: identical frames, identical audio, and the exact length the original had missed. A hand-written edit rediscovers every bug in references/troubleshooting.md.

The audio is the master. Shot lengths, subtitle times and lip-sync parts come from the finished dialogue files. Never estimate a timing from text.

You can't watch or hear. You check frames, durations and numbers. The human judges likeness, voices, pronunciation, timing and jokes. Plan their gates and keep them.

Requires:

These skills next to this one: image-generation, elevenlabs-tts, generating-video-clips.
Python 3 with pip install -r <this-skill-dir>/requirements.txt (Pillow built with RAQM, numpy; OpenCV optional).
ffmpeg 7 or newer.
Fonts: styles and subtitles name font keys (bold, hblack, black in the example) that fonts maps to installed .ttf files. For Hebrew and Latin, Rubik and Heebo (free, Google Fonts) work well; check blocks on a missing one.
Keys in env vars, set in every shell that runs the engine: OPENAI_IMAGE_API_KEY, ELEVENLABS_API_KEY, GEMINI_API_KEY, FAL_KEY.

To see the whole pipeline work with no API calls, run python3 <this-skill-dir>/engine/episode.py /tmp demo, then check and build the demo project it creates.

The pipeline and its gates

Every gate is a stop: send the artifact, ask, wait. Commands are python3 <this-skill-dir>/engine/episode.py PROJECT <command>. Costs measured 2026-10.

Read the full file on GitHub · 110 lines

Files

What ships with it

29 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

15d ago First seen · 110 lines · 126 tokens per session scan A e09e0904f742

Subscribe to this mod's changes

producing-animated-episodes is a skill published in the GitHub repository shaharsha/claude-skills (5 stars, last pushed 7d ago), licensed MIT. It adds 126 tokens to every session and 2,430 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-04.

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