demo-video
Record captioned product walkthrough videos of any web app with Playwright + ffmpeg — proof videos for stakeholders, feature demos, bug-fix evidence
Skill by alinaqi
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: frontend, testing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/demo-video
What's inside
- Skill name
demo-video- Description
- Record captioned product walkthrough videos of any web app with Playwright + ffmpeg — proof videos for stakeholders, feature demos, bug-fix evidence
- License
- MIT
- Instructions
- 106 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Demo Video Skill — visual validation for web apps
Record a captioned walkthrough video of a running web app, verify it frame-by-frame,
convert to mp4, and deliver it. Battle-tested on real client-feedback proof videos.
This is the harness's **default visual validation for web projects**: a demo video
walks a real user flow end-to-end and doubles as a passing E2E test, so "it works"
is proven visually, not claimed. It complements [[visual-validation]] (autonomous
screenshot-regression checks) and [[playwright-testing]] (the E2E suite): screenshots
catch pixel regressions, the suite proves behavior, and a demo video proves the
whole user-facing flow the way a person would see it.
## The method
1. **Write a temporary Playwright spec** (`e2e/zz-<name>-video.spec.ts` or scratchpad) that
walks the real flows as one continuous test. One test = one video.
2. **Record via Playwright's built-in video**, never external screen capture:
```ts
test.use({ video: { mode: 'on', size: { width: 1280, height: 800 } }, viewport: { width: 1280, height: 800 } })
test.setTimeout(240000)
```
3. **Narrate with an injected caption bar** — the video must explain itself without audio.
Call before each chapter; the pause gives viewers time to read:
```ts
async function caption(page: Page, text: string) {
await page.evaluate((t) => {
let bar = document.getElementById('demo-caption')
if (!bar) {
bar = document.createElement('div')
bar.id = 'demo-caption'
bar.style.cssText =
'position:fixed;left:0;right:0;bottom:0;z-index:99999;background:#142b1e;color:#f7f5f0;' +
'font:600 15px/1.4 Inter,system-ui,sans-serif;padding:12px 20px;letter-spacing:0.01em'
document.body.appendChild(bar)
}
bar.textContent = t
}, text)
await page.waitForTimeout(2200)
}
```
The caption bar is re-injected automatically because `caption()` re-creates it after
each `page.goto` (the element does not survive navigation — call caption AFTER navigating).
4. **Structure as chapters**: caption → act → assert → caption the outcome. Keep real
assertions in the spec so the video doubles as a passing test — a video of a broken
flow must fail loudly, never ship silently.
5. **Reuse the project's e2e helpers** (logins, seeded data, fixtures) instead of
hand-rolling flows. Prefer fake/deterministic AI modes so runs are repeatable.
## Recording gotchas (learned the hard way)
- **Scroll-reveal animations**: elements animated in by IntersectionObserver stay
invisible in captures unless you actually scroll. Walk the page (`scrollIntoViewIfNeeded`
or step-scroll) before asserting/capturing.
- **OTP/async steps**: after submitting a form that triggers an email/side effect, wait
for the next UI state (`await expect(page.locator('#code')).toBeVisible()`) before
reading outboxes/fixtures — racing the write is the #1 flake.
- **Selector traps**: "first link" often matches a New/Create button; exclude it
(`a[href^="/x/"]:not([href$="/new"])`).
- **Demonstrating error states**: drive the app's real error surface (e.g. navigate to
the URL the failing action redirects to) rather than mocking pages that don't exist.
## Produce and verify
```bash
rm -rf test-results/zz-<name>* # stale videos have the same filename
npx playwright test e2e/zz-<name>-video.spec.ts
find test-results -name "video.webm" # the recording
# Convert to mp4 (universal playback, ~2-3x smaller)
ffmpeg -y -i "<video.webm>" -c:v libx264 -pix_fmt yuv420p -movflags +faststart out.mp4
# ALWAYS spot-check frames before delivering — extract a few and LOOK at them
ffmpeg -y -i out.mp4 -vf "select='eq(n\,60)+eq(n\,300)+eq(n\,600)'" -vsync vfr frame_%d.png
```
Read the extracted frames with the Read tool and confirm captions render and each
chapter shows what it claims. Never deliver an unviewed video.
## Deliver and clean up
- Copy the mp4 to your stakeholder-updates archive (e.g. `~/Documents/updates/<project>/`,
the house archive for stakeholder updates), and send it to the user (SendUserFile or
equivalent).
- **Naming is mandatory and identifying**: `YYYY-MM-DD-NN-<project>-<what-it-proves>.mp4`
— the date it was recorded, then a two-digit index so several videos on the same day
stay ordered and every video is uniquely identifiable at a glance. Allocate the
next *free* index with a no-clobber loop — never a count (`wc -l`), which reuses
an index if an earlier file was deleted and silently overwrites an existing mp4:
```bash
DIR=~/Documents/updates/<project>; DATE=$(date +%F); mkdir -p "$DIR"
NN=1
while printf -v F '%s/%s-%02d-<project>-<what-it-proves>.mp4' "$DIR" "$DATE" "$NN" && [ -e "$F" ]; do
NN=$((NN+1))
done
cp out.mp4 "$F"
```
Never `video.mp4`, never a name without its date and index.
- **Delete the temporary spec** — it is a capture script, not a test; it must not join
the suite or CI.
## Prerequisites
- Playwright installed in the project (`@playwright/test`) with a working dev/preview server.
- `ffmpeg` on PATH for the webm→mp4 conversion and frame extraction.From alinaqi/maggy, MIT.
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Signals
- Stars
- 711
- Forks
- 61
- Open issues
- 0
- Last commit (this folder)
- Sep 19, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/alinaqi/maggy
- Website
- www.srooter.ai/maggy
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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external-model-delegation
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demo-video skill. Agent Mart. https://agentmart.dev/skills/alinaqi-demo-video (last updated 2026-10-24)