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live-tutorial

leon-ai · Инструменти

Create an annotated MP4 tutorial from a workflow demonstrated in the owner's actual application. Use when asked for a tutorial video, not merely to watch an action live.

Оригинален текст · няма потвърден превод на български

Теми: ai · ai-agent · ai-assistant · artificial-intelligence · assistant · automation · bot · chatbot · leon · nodejs · offline · personal-assistant · privacy · python · speech-recognition

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Оригинален SKILL.md
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17 543
Лиценз
MIT
Последна проверка на записа
20.09.2026 г.

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Live Tutorial

Demonstrate the requested workflow, then return a verified MP4 made from its real screenshots.

Write captions and annotation text in the language of the user's tutorial request, keeping app control names as displayed.

The request already authorizes completing and rendering the tutorial. Do not ask whether to continue or offer screenshots/text instead of the requested video merely because execution paused. Resume with the same recording, captures, and manifest; ask only for genuinely missing information or authorization.

Use PNG paths returned in each observation's artifacts array. The recording output_dir is the destination for the video, not the location of those screenshots; do not search it for frames. The renderer is ready to run with the manifest below: no source inspection, image-processing code, or dependency setup is needed.

Use the live tool results for recording directories, screenshot paths, and current target tokens. After a pause, read a specific saved artifact only if the checkpoint omits a required value; do not scan directories or reread evidence already available. Each new window observation invalidates earlier tokens, so make one observation with any needed query and screenshot, then act immediately from that same result. Use the shell tool only for the final renderer command.

Целият SKILL.md в GitHub