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demo-video

Skill16 starsChanged 18 days agoNo licenceView on GitHub

Make a short landscape demo or promo video of a code library or tool, for X, LinkedIn or a README, entirely from code. Real output captured from the released package in a Python REPL, scenes drawn in HTML and rendered frame by frame in headless Chromium, H.264 through ffmpeg, an optional original synthesized music bed, and optional edge-tts narration (en-US-GuyNeural, rate +5%). Use for a promo, demo, launch or README video of a project (宣传视频, 演示视频). Not for AI-generated footage, recordings of a person, or slide decks.

  • Installs packages

27 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use karpathy-coder, ai-act-readiness and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • csiddhant796-blipSkill

    karpathy-coder

    Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.

    Also in 4 projects that use this

  • Hussain-ElfalahSkill

    ai-act-readiness

    Also in 3 projects that use this

  • Hussain-ElfalahSkill

    c-level-agents

    Also in 3 projects that use this

  • csiddhant796-blipSkill

    self-eval

    Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions.

    Also in 4 projects that use this

  • +8 more from Hussain-Elfalah

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 25 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 25 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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