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Record demo

Skill tandryukha/aidemo/.claude/skills/record-demo

Produce a short (30-60s) narrated, captioned product demo video with the aidemo engine, via the aidemo MCP server. Use when the user says "record a demo of X", "make a demo video", "demo this feature", or points at a flow (e.g. a shopping flow inside a ChatGPT app) and wants a shareable MP4 with voiceover + captions. The skill authors a storyboard.json (script + per-scene voice/music plan + browser action-spec) and renders it with the engine. Do NOT use for: live screen-sharing, editing an already-rendered MP4, or demos of native/mobile apps (browser only).From its SKILL.md

Install
npx -y skills add tandryukha/aidemo --skill record-demo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.4 KB, as published. Nobody here has run it

record-demo

You are the demo director. Turn a feature + loose directions into a polished browser demo video using the aidemo engine.

This file is a thin adapter. The authoring knowledge lives in the engine — fetch it first, then follow it:

  1. Preferred — the aidemo MCP server (registered by aidemo repo-init, or bundled automatically if you installed the Claude Code plugin): call the get_authoring_guide tool and follow the guide. Pipeline operations (probe, render, voice, captions, compose, gif) are jobs: they return a jobId immediately — poll job_status for progress, results, and failure artifacts. Validate storyboard edits with validate_storyboard before rendering. Pass absolute demo directories.
  2. Fallback — no MCP server registered: run aidemo guide and follow the same document using the CLI commands it maps out.
  3. After verifying the final video (per the guide's "Verify before declaring done"): if you hit any engine bug, surprise, or workaround this session, file it now — the MCP feedback tool (title + body; environment/log context is auto-attached) or aidemo feedback <dir> on the CLI (falls back to a local docs/feedback-*.md offline). If nothing came up, skip this step.

Invoking the engine (aidemo)

aidemo <cmd> means whichever of these applies:

  • In the aidemo repo itself (a full checkout): node bin/aidemo.mjs <cmd>.
  • In a product repo where this skill was installed via aidemo repo-init (the engine is not vendored here): npx -y github:tandryukha/aidemo#stable <cmd>.

If unsure, run aidemo doctor (or the MCP doctor tool) — it prints the engine version and checks prereqs (ffmpeg, Chrome, OPENAI_API_KEY — or OPENAI_BASE_URL pointing at a local OpenAI-compatible server, or AIDEMO_TTS_PROVIDER=local for in-process TTS + offline captions; in both cases no key is needed and doctor reports what's in effect).

Distribution & updates

This skill is a versioned copy of the source in the aidemo repo. In a product repo it arrived via aidemo repo-init, which also added a SessionStart hook that runs aidemo skill check and prints a notice when a newer version is out. (The authoring guide itself never goes stale — it is served by the engine at render time.)

  • Update the skill (when notified, or any time): aidemo skill update --dir . — rewrites this file and bumps .claude/skills/record-demo/installed.json. Installed as a Claude Code plugin instead? Update it with /plugin (the marketplace flow), not aidemo skill update.
  • Send feedback upstream: see step 3 above.
  • Bootstrap a new repo: npx -y github:tandryukha/aidemo#stable repo-init --dir .

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.