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SkillsMP a collecté 29 skills depuis danielrosehill/Claude-Transcription-Plugin. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 29 skills collectés sur 29.
Export a transcript (or any pipeline output) by emailing it, uploading to Google Drive, or copying to clipboard. Use when the user asks to send, email, upload, save to Drive, or copy a transcript.
Langue du texte source : anglais
Transcribe a podcast episode and produce two outputs in one pass — (1) the raw API transcript exactly as the provider returned it, and (2) a podcast-formatted reading version with filler words removed, section headers added, and speaker labels preserved. Use…
Langue du texte source : anglais
Diagnose-and-treat workflow for very messy recordings where the standard preprocessor isn't enough. Generates a spectrogram, identifies problematic frequency bands (AC hum, rumble, narrow-band whines, broadband hiss, clipping), and proposes targeted ffmpeg…
Langue du texte source : anglais
Remove background noise from an audio file. Cloud providers (Auphonic default, ElevenLabs, Dolby.io) or local (DeepFilterNet ML, ffmpeg afftdn non-ML). Use when the user asks to denoise, clean up noise, remove hum/hiss, or enhance speech audio before…
Langue du texte source : anglais
Prepare audio for transcription — format normalise (mono/16kHz/opus), loudness normalise (EBU R128), and collapse long silences (silero-vad). Optional denoise pass. Use before sending to AssemblyAI or any ASR for cleaner results, smaller uploads, and lower…
Langue du texte source : anglais
Apply a stylistic / formatting transformation to a transcript using a named prompt from the user's Text-Transformation-Prompt-Library (206 transformations covering blog outlines, briefs, business correspondence, analysis documents, meeting notes, and more).…
Langue du texte source : anglais
Mine a transcript for durable personal context — facts about the speaker (location, role, projects, preferences, relationships, ongoing work) — and write them to a context file for later reuse. De-duplicates against existing context so the same facts aren't…
Langue du texte source : anglais
Segment a mixed-intent transcript into separate files by category — prompts, context, action items, background, decisions. Useful when the user has dictated a dev brief, code review, or planning session that interleaves multiple kinds of content. Use when the…
Langue du texte source : anglais
Translate a transcript from its source language into a target language while preserving structure (paragraphs, subheadings, speaker labels, timestamps). Use when the user wants a transcript in another language — for sharing with someone who doesn't speak the…
Langue du texte source : anglais
Concatenate multiple audio recordings into one file and send as a single transcription job. Preserves a segment map so timestamps in the unified transcript can be traced back to their source files. Use when the user has several voice memos / chapters /…
Langue du texte source : anglais
Stepwise transcript refinement that never overwrites prior stages. Stage 1 removes filler words and adds paragraphs; stage 2 adds subheadings; stage 3 asks the user what's next (notes, blog, summary, PDF, translation, or stop). Use when the user hands over a…
Langue du texte source : anglais
Sanity-check the transcription plugin's environment — confirm required API keys are set and reachable via cheap ping. Use when the user asks "is transcription working?", reports a transcription failure, or after changing API keys / shell config.
Langue du texte source : anglais
Concatenate multiple transcript variants (raw, cleaned, structured, blog, summary, notes) into a single combined document — markdown with variant headers, or Typst-rendered PDF with page numbers and variant name in the footer. Use when the user asks to…
Langue du texte source : anglais
Use when the user wants to download audio from a YouTube URL (or YouTube playlist). Triggers on phrases like "download audio from youtube", "grab the audio from this yt link", "yt-dlp this", or any YouTube URL paired with a request to save audio. Saves to…
Langue du texte source : anglais
Render a single transcript to a PDF using Typst, with the source file's modification timestamp and page numbers in the footer. Use when the user asks to "make a PDF of this transcript", "render to PDF", "transcript as PDF", or otherwise wants a printable…
Langue du texte source : anglais
Onboarding for Claude-Transcription — registers the user's transcription and denoise backends (cloud APIs, MCP servers, local binaries, custom endpoints) into a user-data config file. No provider hardcoded; user picks what they have. Use when the user asks to…
Langue du texte source : anglais
Remove filler words, false starts, and immediate repetitions from an existing transcript file. Preserves meaning, tone, and structure. Use when the user asks to clean a transcript, remove fillers, or tidy up a raw transcription.
Langue du texte source : anglais
Cluster unique voices in an audio recording and extract a short sample of each to a file, then prompt the user to label them. Feeds diarization in downstream transcription. Use when the user asks to identify speakers, extract voice samples, prep for…
Langue du texte source : anglais
Convert audio to a transcription-friendly format — stereo to mono, resample to 16kHz, compress WAV to opus or mp3, reduce bitrate. Use when the user asks to normalize audio format, downmix, resample, compress, or prepare audio for transcription.
Langue du texte source : anglais
One-time setup for local Whisper transcription — installs faster-whisper and downloads a default model. Use when the user asks to set up whisper, install whisper, or prepare for local transcription.
Langue du texte source : anglais
Add section headers, logical groupings, and paragraph breaks to a cleaned transcript, while preserving the speaker's wording. Use when the user asks to structure a transcript, add headers, organize by topic, or make a transcript readable without rewriting it.
Langue du texte source : anglais
Transcribe audio via AssemblyAI with word-level timestamps and speaker diarization. Best for meetings, interviews, and anything needing speaker labels or timecodes. Use when the user asks for a timestamped transcript, diarized transcript, or multi-speaker…
Langue du texte source : anglais
Transcribe audio via Gemini with filler words and pause-words removed at transcription time. Produces a lightly cleaned transcript in one pass. Use when the user asks for a cleaned transcript, filler-free transcription, or a readable first-pass transcript via…
Langue du texte source : anglais
Transcribe an audio file to a raw verbatim transcript using the gemini-transcription MCP server. Preserves every word including fillers. Use when the user asks for a raw transcript, verbatim transcription, or unedited text via Gemini.
Langue du texte source : anglais
Transcribe audio locally using Whisper (offline, no cloud). Use when the user asks for a local transcription, offline transcription, privacy-preserving transcription, or explicitly requests Whisper.
Langue du texte source : anglais
Rewrite a transcript into a publishable blog post — narrative flow, tightened prose, engaging title, and intro/outro. Use when the user asks to turn a transcript into a blog post, convert recording to article, or draft a post from an interview.
Langue du texte source : anglais
Convert a transcript into structured meeting or study notes with headers, bullets, and callouts. Use when the user asks for notes from a recording, study notes, meeting minutes, or structured notes from a transcript.
Langue du texte source : anglais
Produce an executive summary and bullet-point highlights from a transcript. Use when the user asks for a summary, TL;DR, exec summary, key takeaways, or highlights of a recording.
Langue du texte source : anglais
Remove long silences from an audio file using VAD (voice activity detection). Use when the user asks to truncate silence, remove gaps, trim pauses, or apply VAD to an audio recording.
Langue du texte source : anglais