model-onboarding
Onboard a new model generation or sibling into oh-my-hermes: probe router recognition,…
[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says:
$ npx -y skills add rlaope/oh-my-hermes --skill omh-media-input --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/omh-media-inputContext preview
The summary Claude sees to decide when to auto-load this skill.
[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says:
name: "omh-media-input"
description: "[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says: media-input-operator, media input operator, media input, audio transcription, audio transcript, transcribe audio, transcribe this audio, meeting recording."
metadata:
hermes:
tags: [workflow, oh-my-hermes, media]
category: media
phase: media-input-task
role: guide
quality_tier: workflow-surface-gatedThis is a Hermes-native `media-input-operator` workflow skill.
`media-input-operator` exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.
Good example:
Bad example:
Use when Hermes should prepare or supervise audio/video transcript, YouTube/video summary, OCR, screenshot text extraction, receipt image parsing, or timestamped media extraction work without claiming media access, download, transcription, OCR output, or factual summary evidence.
Strong routing signals: `media-input-operator`, `media input operator`, `media input`, `audio transcription`, `audio transcript`, `transcribe audio`, `transcribe this audio`, `meeting recording`, `recording transcript`, `video transcript`, `youtube summary`, `youtube video`, `summarize youtube`, `summarize this youtube`, `video summary`, `summarize this video`, `ocr image`, `image ocr`, `photo ocr`, `picture ocr`, `graphic ocr`, `screenshot ocr`, `ocr this image`, `ocr receipt image`, `ocr this receipt image`, `receipt ocr`, `receipt image ocr`, `receipt text`, `receipt text from image`, `receipt fields`, `receipt fields from image`, `receipt image extraction`, `receipt image text`, `receipt image fields`, `parse receipt image`, `receipt image parse`, `receipt image into fields`, `image text extraction`, `extract text from image`, `extract text from this image`, `screenshot text extraction`, `extract text from screenshot`, `extract text from this screenshot`, `screenshot to text`, `timestamps`, `with timestamps`, `clip summary`, `podcast summary`, `webinar summary`, `오디오 전사`, `음성 전사`, `회의 녹음`, `녹음 요약`, `영상 요약`, `유튜브 요약`, `youtube 요약`, `이미지 ocr`, `이미지 OCR`, `이미지 텍스트 추출`, `이미지에서 텍스트 추출`, `영수증 ocr`, `영수증 OCR`, `영수증 이미지 ocr`, `영수증 이미지 OCR`, `스크린샷 텍스트 추출`, `스크린샷에서 텍스트 추출`, `타임스탬프`, `타임라인 요약`
Category: `media` Phase: `media-input-task` Hermes role: `guide` Quality tier: `workflow-surface-gated` Reasoning demand: `standard`
Quality bar:
Handoff policy:
Keep this as Hermes-facing orchestration guidance first. Prepare executor, connector, gateway, or host-runtime handoff only when the user accepts that next step and observed evidence can be recorded.
Required inputs:
Expected
English | 한국어 | 日本語 | 中文 Install once. Keep Hermes. Add a stronger operating layer. Planning, research, creation, coding handoffs, operations, and project memory with explicit evidence boundaries.
Repo: rlaope/oh-my-hermes
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