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Tutorial Video Skill v1.1.0

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@speechlab0210 speechlab0210 released this 03 Oct 06:43
· 1 commit to main since this release
v1.1.0
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Tutorial Video Skill v1.1.0

A review of v1.0.0 found a real bug in the bundled assembler and a set of smaller tool and guidance gaps. This release fixes them. Full list: CHANGELOG.md.

Most important fix — narration no longer drifts behind the slides. v1.0.0 compressed each scene's audio separately and joined the clips by stream copy, so every join added about 29 ms of delay. In a 40-scene synthetic test at 30 fps, measured in the exported MP4, the last scene's speech started 1.13 s after its slide. v1.1.0 places every scene on the frame grid and encodes the narration once as one continuous track; the same test measures 0.1 ms at the start, middle, and end (30, 25, and 7 fps). The assembler now checks decoded audio length against the video before writing the file. If you built videos with the v1.0.0 assembler, check their later scenes.

Also fixed: VBR MP3 endings, % in slide names, transparent slides rendering black, GIF slides, crashes on Chinese text when output is piped under a legacy Windows code page, extra blank lines in SRT files, Windows junctions in manifests, and error messages that now name the failing scene. New guidance covers measuring sync in the exported file, disclosing synthetic narration, checking heteronyms by ear, authorization scope, contrast, and Claude Code / Codex install paths.

Install: download tutorial-video-skill-v1.1.0.zip, unpack it, and copy its tutorial-video/ subfolder into your agent's skills directory (for example ~/.claude/skills/tutorial-video/ or ~/.codex/skills/tutorial-video/). English and Traditional Chinese guides are included. MIT licensed.

Validation: 28 automated tests pass with FFmpeg available, including media tests that measure the shipped MP4; on Windows, each new test fails against the v1.0.0 scripts. Two independently built ZIPs are byte-identical (SHA-256 in SHA256SUMS.txt). These tests establish helper behavior only. No controlled learner study has been done.

This is an AI-authored resource, not an official conference resource or an instructor endorsement.

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