shopify-api-ruby
ShopifyAPI는 Shopify 관리자 REST와 GraphQL 서비스를 간편하게 이용할 수 있는 경량 gem이다
ScribeToAny를 ChatGPT, Claude, Cursor 또는 모든 MCP 클라이언트와 연결합니다
Connect ScribeToAny to ChatGPT, Claude, Cursor or any MCP client: remote MCP server URL, OAuth sign-in, the seven tools and their limits.
개발 도구PythonGitHub @scribetoany온라인운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Agent Skills for transcripts and subtitles: transcribe local audio and video to text, SRT or VTT with the ScribeToAny CLI, and fix subtitle reading speed (CPS). Claude Code, Codex, Cursor, Gemini CLI.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Agent Skills for subtitles and transcripts, from the team behind
ScribeToAny.
They work in Claude Code, Claude.ai, Codex, Cursor, Gemini CLI, OpenCode and
any other agent that reads SKILL.md folders.
| Skill | What it does |
|---|---|
| subtitle-qc | Checks and fixes subtitle reading speed (CPS), line length, duration and gaps in SRT/VTT files. Timing first, words last. |
| scribetoany | Transcribes local audio and video files (or public links) into text, SRT or VTT subtitles with the ScribeToAny CLI. |
A subtitle can be accurate and still fail: if it leaves the screen before the viewer finishes reading, it was missed. Auto-captions and raw Whisper output fail this constantly, because each cue is timed to the words, not to the reading.
Ask your agent:
Check
episode-12.srtfor reading speed and fix what you can.
帮我检查一下这个字幕是不是太快了,能修就修。
It runs a fixed order:
Example on cues timed exactly to the words:
Before After
Cues 9 6
Median CPS 25.0 17.0
Over 17 CPS 8 3
Shorter than 0.83 s 5 1
Lines over 42 chars 3 0
Chars to cut to pass 67 19
On a 447-word English voiceover, the same order took cues over 17 CPS from 68% to 24% before a single word was cut. The method and sources are in Subtitle reading speed (CPS).
Claude Code (plugin marketplace)
/plugin marketplace add scribetoany/skills
/plugin install subtitle-qc@scribetoany-skills
Cursor (plugin)
git clone https://github.com/scribetoany/skills.git
mkdir -p ~/.cursor/plugins/local
cp -r skills/plugins/scribetoany ~/.cursor/plugins/local/scribetoany
cp -r skills/plugins/subtitle-qc ~/.cursor/plugins/local/subtitle-qc
Then run Developer: Reload Window. The scribetoany plugin adds the
ScribeToAny MCP server (Cursor asks you to sign in once) and the
transcription skill; subtitle-qc adds the subtitle check.
Any agent, with the skills CLI
npx skills add scribetoany/skills
Claude Code, Codex, Cursor, Gemini CLI, OpenCode (copy the folder)
git clone https://github.com/scribetoany/skills.git
# Claude Code
cp -r skills/plugins/subtitle-qc/skills/subtitle-qc ~/.claude/skills/
# Agents that read ~/.agents/skills
cp -r skills/plugins/subtitle-qc/skills/subtitle-qc ~/.agents/skills/
Claude.ai: zip the subtitle-qc folder and upload it under
Settings → Capabilities → Skills.
Without an agent: the script is standard-library Python 3.8+.
python3 scripts/subtitle_qc.py check episode.srt
python3 scripts/subtitle_qc.py fix episode.srt -o episode.qc.srt --todo todo.json
python3 scripts/subtitle_qc.py check episode.srt --preset netflix-adult --json
These skills work on files you already have. To get an SRT or VTT from audio or video, any transcription tool works. ScribeToAny does it in about 98 languages, with a free 100 minutes every month, and translates subtitles into 134+ languages with the timings kept.
python3 -m unittest discover tests
claude plugin validate .
tests/fixtures/ holds SRT quirks seen in the wild: BOM, CRLF, missing blank
lines or numbers, 2-digit milliseconds, -> arrows, position coordinates,
HTML and ASS tags, Windows-1252 text, overlaps and reversed times.
MIT