transcribe-video
by rameerezThe transcribe-video skill turns video or audio files into .srt, .vtt, and .txt outputs with AWS Transcribe. Use it for transcribe-video usage when you need captions, a searchable transcript, or a clean text version of spoken content. It also fits transcribe-video for Format Conversion workflows.
This skill scores 78/100, which means it is a solid listing candidate for directory users: it has a clear, real workflow for turning video or audio into SRT/VTT and plain text using AWS Transcribe, and the install decision is reasonably straightforward. Users should still expect some setup overhead because it depends on ffmpeg, AWS CLI, and configured AWS permissions.
- Explicit trigger and output contract: transcribes a video or audio file path with optional language code and produces .srt, .vtt, and .txt files.
- Operational workflow is concrete: prerequisites, audio extraction, temporary S3 upload, AWS Transcribe job, result download, and cleanup are all described.
- Good agent leverage from repo content: valid frontmatter, substantial body text, code fences, and file references reduce guesswork versus a generic prompt.
- Requires external setup and credentials: ffmpeg, AWS CLI, and permissions for s3:* and transcribe:* are mandatory.
- No install command or supporting scripts/resources are provided, so users must follow the documented steps manually.
Overview of transcribe-video skill
What transcribe-video does
The transcribe-video skill turns a video or audio file into .srt, .vtt, and .txt outputs using AWS Transcribe. It is most useful when you need captions, a searchable transcript, or a clean text version of spoken content without manually transcribing it. The transcribe-video skill is a good fit if your workflow already includes AWS and you want a repeatable, file-based transcription process.
Who should use it
Use this skill if you work with recorded meetings, interviews, webinars, demos, or course videos and need transcripts fast enough to keep up with production. It is especially useful for people who care about subtitle formats, not just a text dump. If you need transcribe-video for Format Conversion, this skill helps convert raw media into caption and transcript artifacts that are easier to reuse downstream.
Main tradeoffs to know
The biggest advantage is that the workflow is concrete: extract audio, upload it, run a transcribe job, and clean up resources. That makes transcribe-video easier to operationalize than a vague “please transcribe this” prompt. The main limitation is dependency overhead: you need ffmpeg, the AWS CLI, and valid AWS permissions. If those are not already available, the install and setup cost may outweigh the benefit for one-off use.
How to Use transcribe-video skill
Install and readiness check
For transcribe-video install, add the skill with npx skills add rameerez/claude-code-startup-skills --skill transcribe-video. Before running it, confirm ffmpeg and aws are installed and that aws configure has valid credentials. The skill also needs permission to create and delete S3 buckets and start/delete Transcribe jobs, so locked-down AWS accounts can fail even when the command looks correct.
Give the skill a usable input
The skill expects a media file path and optionally a language code such as en-US or es-ES. A weak request is “transcribe this video”; a stronger request is transcribe-video /path/to/demo.mp4 en-US or “Transcribe /work/interview.mp4 to SRT, VTT, and TXT in English, then clean up temp AWS resources.” If language is known, include it. If the file is noisy, long, or multi-speaker, say so up front because those conditions affect accuracy more than the command syntax does.
Recommended workflow
Start by reading SKILL.md, then inspect the repository file paths it references, especially README.md, AGENTS.md, metadata.json, and any rules/, resources/, or references/ folders if they exist in your local setup. In this repo, the source is intentionally compact, so the real value is understanding the process: audio extraction, temporary S3 upload, Transcribe job execution, output download, and cleanup. That sequence matters because failures usually happen at permissions, file naming, or cleanup rather than transcription itself.
Tips that improve output quality
Use a source file with the best available audio track. If the video has multiple audio streams, bad compression, or background music, fix that before transcribing. Prefer explicit filenames and output expectations when you prompt the skill, such as “preserve the base filename” or “I need both subtitle formats and a plain text transcript for editing.” If you want transcribe-video usage to be predictable, ask for the language code, output location, and whether you want the transcript optimized for captions or reading.
transcribe-video skill FAQ
Is this better than a generic prompt?
Usually yes, if you want a repeatable transcription workflow instead of a one-off response. A generic prompt can ask for a transcript, but it will not reliably handle the AWS Transcribe setup, audio extraction, temporary bucket creation, and cleanup steps. The transcribe-video skill is more useful when the job needs files, formats, and operational discipline.
Do I need AWS to use it?
Yes. This skill depends on AWS Transcribe and S3, so it is not a local-only transcription tool. If you cannot use AWS credentials or do not want to manage cloud permissions, this is probably not the right skill. In that case, a local speech-to-text tool may be a better fit.
Is it beginner-friendly?
It is beginner-friendly only if you are comfortable installing command-line tools and granting AWS permissions. The transcription workflow itself is straightforward, but setup can block first use. Beginners usually do best when they copy the repo’s expected file path and language-code pattern exactly, then adjust only one variable at a time.
When should I not use transcribe-video?
Do not use it for tiny, disposable tasks if you do not already have AWS configured. Also avoid it when you need offline processing, custom diarization logic, or deep editorial cleanup beyond basic transcript generation. If your goal is only to summarize spoken content, this skill is more infrastructure than you may need.
How to Improve transcribe-video skill
Provide stronger source context
The best results come from telling the skill what the file is and what matters most in the output. For example: “This is a 42-minute product demo with one speaker and clear audio; generate accurate English captions and a readable transcript.” That is better than a bare path because it helps the workflow prioritize language, formatting, and likely failure points.
Reduce avoidable transcription errors
If the audio is muddy, mixed with music, or captured from a noisy room, improve the source before running the skill. If the video includes multiple languages, say which language should be transcribed. If the main goal is subtitles, mention that explicitly so the output is judged by timing and readability instead of only raw text accuracy. These details matter more than asking for “better quality” in the abstract.
Iterate after the first output
Review the .srt, .vtt, and .txt outputs separately. Captions may be technically correct but too long for display, while the text transcript may need punctuation or speaker cleanup for notes. If the first pass is close but imperfect, rerun transcribe-video with a clearer language code, a better audio source, or a narrower output goal rather than trying to fix everything in post.
Watch the common failure modes
The most common issues are missing ffmpeg, AWS CLI misconfiguration, insufficient IAM permissions, and accidental retention of temporary AWS resources. If a run fails, check prerequisites first, then permissions, then the exact file path. For transcribe-video, successful use is less about prompt cleverness and more about providing a valid media file, the right language hint, and an AWS environment that can complete the job end to end.