transcribe

transcribe is an NLP, speech & audio ML skill for AI agents, published by Desko77 in the cursor-1c-skills repository on GitHub. Skillspace rates transcribe C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Транскрибирование видео и аудио файлов. Используй когда пользователь просит транскрибировать, расшифровать запись, сделать конспект встречи, извлечь речь из видео или аудио, преобразовать речь в текст. Для аудио (m4a/mp3/wav/ogg/flac/aac/wma) по умолчанию локальный faster-whisper + диаризация с автодетектом числа спикеров (pyannote community-1 GPU; с явным --num-speakers N - sherpa-onnx, быстрее). Для видео (mp4/mkv/webm/avi/mov) - Gemini API (разбор экрана + скриншоты) либо полностью локально (--engine local: whisper + локальная VLM). Разделение по спикерам с распознаванием имен по голосу между встречами (голосовая база) и по репликам.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
36

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubDesko77/cursor-1c-skills

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in NLP, speech & audio ML

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