video-tutorial-maker

video-tutorial-maker is a skill for Claude Code, Codex from guanyang/super-publisher. It costs 81 tokens per session (1,329 once invoked), scanned A, original, MIT.

A workflow for producing tutorial videos with a script, spoken narration, text-to-speech audio, synchronized subtitles, rendered MP4 files, and versions for different platforms. It normally starts with a 16:9 landscape video, the wide format used by many desktop video players.

In plain words
What is it for?
Use it for software walkthroughs, explainers, courses, product demonstrations, and short instructional videos.
Why use it?
It brings the planning, narration, caption timing, rendering, and platform formatting of a tutorial into one defined process.

Skill for Claude CodeCodex

Part of the super-publisher plugin — 10 skills shipped together

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.

agentmods
npx agentmods add skills/guanyang/super-publisher/video-tutorial-maker
Any agent
npx skills add guanyang/super-publisher --skill video-tutorial-maker
Clone the repo
git clone --depth 1 https://github.com/guanyang/super-publisher

Made for: Claude Code, Codex.

Or install super-publisher, the plugin that ships this one along with the rest of its 10 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.

agentmods badge for video-tutorial-maker

README.md
[![agentmods](https://agentmods.dev/badge/skills/guanyang/super-publisher/video-tutorial-maker.svg)](https://agentmods.dev/skills/guanyang/super-publisher/video-tutorial-maker)
Your own site
<a href="https://agentmods.dev/skills/guanyang/super-publisher/video-tutorial-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/video-tutorial-maker.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,329 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00081 $0.01329
Opus 5 $0.00041 $0.00665
Sonnet 5 $0.00016 $0.00266
Haiku 4.5 $0.00008 $0.00133

Measured 5d ago against content hash 199f8182bd15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

video-tutorial-maker 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 5d ago.

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/video-tutorial-maker/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Tutorial Maker

Use this skill to turn a topic, outline, script, or existing video into a finished tutorial video package.

Default assumption: produce a 16:9 landscape MP4 first. Create 9:16 or other platform variants only when requested or clearly useful.

Workflow

  1. Define the deliverable.

    • Confirm the topic, target audience, tone, duration, language, and required output path when they are unclear.
    • If the user does not specify aspect ratio, use 1920x1080 landscape video.
    • For coding or software tutorials, prefer a clear slide/screen sequence over dense narration.
  2. Write the video package.

    • Create a concise script with one narration block per scene or slide.
    • For each scene, define title, subtitle, bullets or screen action, visual style, and narration.
    • Keep on-screen text shorter than narration. Do not force full captions into the visual design.
  3. Generate speech.

    • Prefer edge-tts when available because it is free and more natural than basic system voices.
    • For Chinese, start with zh-CN-XiaoxiaoNeural; adjust voice or rate only if the user asks or the result is clearly poor.
    • Generate audio per scene, not one large narration file. Per-scene audio makes transition sync and subtitle offsetting deterministic.
  4. Build subtitles from the same timeline as audio.

    • Use the subtitle output from TTS when available.
    • Parse both 00:00:01.234 and 00:00:01,234 timestamp formats.
    • Offset each scene subtitle by the cumulative scene duration.
    • Verify the final subtitle file contains real timestamps and no NaN.
  5. Render video.

    • Render each scene to a fixed duration equal to its audio duration plus any intended pause.
    • If a scene has a trailing pause, pad that scene's audio with silence to the exact scene video duration before concatenating.
    • Concatenate padded scene audio, not raw scene audio. Otherwise voice will drift earlier after each transition.
    • Mux video, audio, and soft subtitles into MP4 when supported; otherwise output the subtitle file as a sidecar.

Read the full file on GitHub · 121 lines

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.

  1. 5d ago First seen · 121 lines · 81 tokens per session scan A 199f8182bd15

Subscribe to this mod's changes

video-tutorial-maker is a skill published in the GitHub repository guanyang/super-publisher (29 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 1,329 once invoked, about $0.0004 per session on Opus 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 2026-08-30.

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