Agent skill · DevOps & Cloud

amazon-transcribe

Use Amazon Transcribe for AWS-based speech-to-text production: batch S3 transcription, real-time streaming, captions/subtitles, diarization, channel identification, custom vocabularies, vocabulary filters, language identification, PII/PHI handling, toxicity detection, Call Analytics, Medical, and secure S3/IAM/KMS workflows.

Calesthio43,316★ · +2,384/wk · 2 repos on radarProfile →
claude-codecodexcopilotcursorMIT
Install
npx skills add calesthio/generative-media-skills --skill amazon-transcribe --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 25 KB
Bundled scripts: none
Path: skills/providers/speech-to-text/amazon-transcribe/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 112 · +8 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

Use this skill when an agent needs to plan, run, review, or troubleshoot Amazon Transcribe as a speech-to-text provider inside an AWS-controlled workflow. Treat Amazon Transcribe as an AWS custody option first: it is strongest when the media already belongs in S3, the organization needs IAM/KMS/CloudTrail governance, captions must be generated from batch files, or real-time transcripts must flow through AWS streaming endpoints.

How it works

  • Identifies when to use batch transcription for files in S3 or streaming transcription for live audio; considers Call Analytics and Medical pathways for specialized outputs.
  • Differentiates between batch input formats (AMR, FLAC, M4A, MP3, MP4, Ogg, WebM, WAV) and streaming formats (FLAC, Ogg Opus, PCM); notes lossless formats preferred where possible.
  • Chooses between speaker labels (diarization) and channel identification based on media structure and workflow needs; provides guidance on when to map speaker labels to human names post-processing.
  • Recommends using custom vocabularies, vocabulary filters, and language identification per language requirements and multi-language scenarios.
  • Emphasizes output formats: batch transcripts as JSON, video subtitles as WebVTT or SubRip when requested.
  • Includes production heuristics for audio normalization, QA source-of-truth handling, and separate editorial passes for non-speech information in subtitles.
  • Addresses AWS custody, security, and permissions, including S3 input/output, encryption, IAM policies, and least-privilege guidance.

When to use it

Use when planning, running, reviewing, or troubleshooting Amazon Transcribe in AWS-controlled workflows, especially when media resides in S3 and governance (IAM/KMS/CloudTrail) is needed, or when batch captions or real-time streaming are required.

What it can touch

  • S3 input/output for batch jobs
  • TLS in transit and encryption at rest with S3/KMS
  • IAM roles and policies for access to S3 and KMS (permissions examples include GetObject, ListBucket, PutObject, decrypt/encrypt/generate-data-key)
  • CloudTrail logging and optional data-protection practices

Caveats

  • Do not treat this as a generic transcription model ranking; compare accuracy, latency, cost, language coverage against actual jobs.
  • For healthcare, call analytics, and sensitive audio, separate Medical/Call Analytics paths before choosing.
  • Toxicity detection is available only for batch transcriptions in en-US and may require redaction interplay with PII redaction; use as a flagging layer with human review.
  • AWS opt-out for AI-service content improvement is available via Organizations policy; consider policy before processing sensitive audio.
From the SKILL.md

# Amazon Transcribe Use this skill when an agent needs to plan, run, review, or troubleshoot Amazon Transcribe as a speech-to-text provider inside an AWS-controlled workflow. Treat Amazon Transcribe as an AWS custody option first: it is strongest when the media already belongs in S3, the organization needs IAM/KMS/CloudTrail governance, captions must be generated from batch files, or real-time tra

More from generative-media-skills
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About this skill
What does the amazon-transcribe skill do?

Use Amazon Transcribe for AWS-based speech-to-text production: batch S3 transcription, real-time streaming, captions/subtitles, diarization, channel identification, custom vocabularies, vocabulary filters, language identification, PII/PHI handling, toxicity detection, Call Analytics, Medical, and secure S3/IAM/KMS workflows.

How do I install it?

Run `npx skills add calesthio/generative-media-skills --skill amazon-transcribe --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From calesthio/generative-media-skills, a repository with 112 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going