Results for “transcripts”

Retrieve call transcripts, analytics, speaker stats, and workspace data from Gong conversation intelligence using natural language commands.

Process meeting transcripts or rough notes into structured summaries with decisions, risks, and owner-tagged action items.

Search local knowledge bases, notes, docs, and meeting transcripts with hybrid retrieval combining BM25, vector search, and LLM reranking, all running on-device.

Analyzes meeting transcripts to uncover behavioral patterns, communication insights, and actionable feedback for improving communication and leadership skills.

This skill should be used when importing, listing, or exporting Granola meeting recordings and transcripts. Queries Granola's local cache and API to list meetings, extract transcripts, and export to Obsidian notes in Fathom-compatible format.

Turns strategy-first Madden NFL YouTube videos into structured, game-ready notes covering meta snapshot, formations, plays, adjustments, and provenance, using transcripts and a curated source list.

Scrapes YouTube channel or video metadata via the YouTube Data API, downloads transcripts with yt-dlp, chunks them for search, and upserts results into a database.

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.

Generate formatted video scripts from transcripts, outlines, or topics with visual and audio columns

Transform raw transcripts, notes, or topics into polished long-form articles in the founder's voice

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

Transcribe audio files to text with optional speaker diarization and known-speaker hints using OpenAI models.

Transforms video or audio transcripts into structured markdown documentation, organizing content by topic with configurable styles and source attribution.

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

Transcribe meeting audio with speaker diarization, generate structured summaries with action items, decisions, and follow-ups, and support multiple audio formats and languages. Use when the user requests meeting transcription or provides relevant inputs for this workflow.

Downloads YouTube video transcripts/subtitles and cover images by URL or video ID, with support for multiple languages, translation, chapters, and speaker identification.

Redacts, previews, and inserts sanitized agent session transcripts into GitHub PR/issue bodies for provenance.

Transform a customer interview transcript into a structured summary with Jobs to Be Done, satisfaction signals, and action items.

Transform meeting transcripts into structured summaries with date, participants, topic, key decisions, action items, and open questions.

Extracts timestamped transcripts from YouTube videos and reformats them into summaries, chapter outlines, Twitter threads, blog posts, or notable quotes.

Discovers podcasts via the iTunes Search API, parses RSS feeds, downloads audio, transcribes with OpenAI Whisper, chunks transcripts, and upserts results into a database table.

Extrae transcripciones de videos de YouTube y genera resúmenes estructurados con timestamps y análisis temático.

Transcribe audio files to text using local speech recognition. Triggers on: "转录", "transcribe", "语音转文字", "ASR", "识别音频", "把这段音频转成文字".

Analyze a YouTube channel with evidence-first metadata, transcripts, performance fields, portfolio shape, and repeated content-quality patterns

Transform user interview transcripts into structured, actionable insights with key themes, quotes, and action items.

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).