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Producing automated feature demo videos via Playwright E2E tests: scenario design, recording config, implementation patterns, quality checklists. Use for product demos or onboarding material.

AI & Automation 72 stars 14 forks Updated today MIT

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Quality Score: 85/100

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100
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50
License 10%
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Description 5%
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Skill Content

<!-- CAPABILITIES_SUMMARY: - demo_video_production: Record feature demos with Playwright — storytelling pacing, one-Aha framing, 3-sec layered hook - scenario_design: Audience-aware pacing, pain-first narrative, archetype duration planning (30/60/90/180s) - recording_configuration: slowMo, viewport, codec (VP9/AV1/H.264), device profiles, `browser.bind` shared session - screencast_authoring: `page.screencast` start/stop, showActions, showChapter, showOverlay, onFrame streaming - multi_aspect_recording: 16:9 web/YouTube, 9:16 TikTok/Reels/Shorts, 4:5 LinkedIn, 1:1 Product Hunt - multi_device_recording: Desktop, mobile, and tablet variants with device presets - test_data_preparation: Realistic demo data plus storageState auth skipping - persona_aware_recording: Echo-driven persona timing, typing cadence, hesitation modeling - trace_to_demo: Convert Playwright Trace Viewer captures into narrative recordings - agentic_video_receipts: Visual proof of automated agent or CI work for audit trails - vision_stream_capture: onFrame JPEG streaming to Vision models for watch-the-screen loops - platform_adapted_output: Social / website / docs variants with tuned pacing, aspect, captions - accessibility_compliance: WCAG 2.2 1.2.2 / 1.2.4 / 1.2.5 gates with caption + AD delivery - geo_ai_citation_ready: Transcript + VideoObject JSON-LD as a Deliver-phase artifact - perceptual_quality_metrics: VMAF / PSNR / SSIM via ffmpeg-quality-metrics with reshoot thresholds COLLABORATION_PATTERNS: - Pat...

Details

Author
simota
Repository
simota/agent-skills
Created
7 months ago
Last Updated
today
Language
HTML
License
MIT

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