Results for “transcript”

Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants. Triggers: "Azure OpenAI", "AzureOpenAIClient", "ChatClient", "chat completions .NET", "GPT-4", "embeddings", "DALL-E", "Whis...

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Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text...

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Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. USE FOR: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, co...

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Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration

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Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), pr...

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

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Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

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Builds a one-page meeting preparation brief from the calendar invite, recent mail threads with the attendees, chat messages and shared files: purpose, what each attendee likely wants, open threads, key files, talking points and risks. Returns it in the chat as a DRAFT Markdown document capped at 450 words. Use when the user asks to "prep me for my next meeting", "what do I need to know before the vendor call", "one-pager for tomorrow's steering meeting" or "brief me on my 2pm". Do not use for minutes or action items after a meeting, use meeting-minutes-writer or transcript-to-actions instead. Drafts for human review; never approves, authorises or signs off.

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Builds a DRAFT quiz from the training content the user supplies (slide deck, manual, e-learning script, session transcript, procedure): numbered questions with the correct answer, distractors drawn from the content itself, an explanation quoting the source passage with its location, a difficulty tag (Recall, Apply, Analyse) with its basis, and a coverage table showing which sections and objectives each question tests and which are left uncovered. Use when the user asks to "build a quiz from this deck", "write knowledge check questions for this module", "create an assessment from this training", "test understanding of this procedure" or "which sections does this quiz cover". Do not use for a reader-facing question and answer page built from documents, use faq-builder instead; for writing the procedure itself from notes or a walkthrough, use sop-drafter. Drafts for human review; never approves, authorises or signs off.

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Sweeps the last 24 hours of email, chat messages and meeting transcripts for commitments in both directions, what the user promised others and what others promised the user, reconciles them against a running commitments ledger (open, done, overdue), lists overdue items first and returns the updated ledger plus a proposed task list as Markdown for the user to save. Use when the user asks to "check my commitments", "what did I promise", "what am I owed", "did anything slip" or "run the commitment sweep". Do not use for a general morning summary of mail, calendar and mentions, use custom-daily-brief instead. Drafts for human review; never approves, authorises or signs off.

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Proposes redactions of personal identifiers in pasted text or an attached document (names, contact details, identification and account numbers, dates that identify, quasi-identifiers) and returns a DRAFT redacted copy with consistent placeholder tokens plus a redaction table stating what was replaced, where and why, with a confidence level and a blank reviewer decision per row. Use when the user asks to "redact the names in this document", "de-identify this transcript before we share it", "strip personal data from these notes", "anonymise this report for publication" or "what would need redacting here". Do not use for assessing a planned processing activity, use dpia-draft-pack instead; do not use for working out what data an incident exposed, use data-incident-impact-brief instead. Never declares a document anonymised, safe to release or compliant. Drafts for human review; never approves, authorises or signs off.

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Turns one long support ticket thread (helpdesk history, email chain, chat transcript, call notes) into a one-page DRAFT escalation summary: the customer's ask in their own words, account context as stated, a dated history, what was tried and the stated result of each attempt, the current state, and what is needed from whom by when, every line referenced to a message and every missing fact marked UNKNOWN. Use when the user asks to "escalate this ticket", "summarise this thread for tier two", "write the hand-over for this case", "what has been tried so far", "brief engineering on this customer issue" or "prepare the escalation note". Do not use for a batch of tickets, use ticket-triage-pack instead; for the review after an outage, use incident-postmortem-drafter. Drafts for human review; never approves, authorises or signs off.

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Triages a batch of customer support tickets (helpdesk export, shared mailbox, chat transcripts, web forms) into one row per ticket with category, urgency graded on the evidence in the ticket, suggested next action and owner, plus a DRAFT customer reply for every ticket that needs one, returned as one Markdown pack. Use when the user asks to "triage these tickets", "sort the support queue", "what needs an answer first", "categorise this backlog", "draft replies for these tickets" or "build today's queue review". Do not use for internal requests from colleagues, use request-intake-triage instead; for one long thread that needs handing over, use escalation-summary; for a personal mailbox, use inbox-triage. Drafts for human review; never approves, authorises or signs off.

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Full-text keyword search across every conversation at once (Telegram, Facebook, ChatGPT, Claude, notes, transcripts) over a local BM25/FTS5 catalog: instant, zero tokens, with snippets and chat-title hits. The exact-words lane, complementary to semantic search. Triggers: "/search <words>", "where did I write about <X>".

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Run a retrospective for an abandoned agent session (untouched for over 24 hours, never closed with a retro): rebuild context cold from the transcript, list what was built, sort Keep/Drop/Try and file the durable parts. Use from a nightly routine or on demand. Triggers: /retro-lost, retro for an abandoned session.

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Import any source into an Obsidian vault as well-linked atomic notes: social posts, Telegram HTML exports, ChatGPT JSON, voice-note transcripts, WhatsApp exports, Apple Notes, Notion dumps, pasted text, articles. Handles structure, frontmatter, provenance, dedup against existing notes and a closing RAG reindex. Triggers: "/obsidian-ingest", "import this into the vault", "file this".

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Pull fresh meetings from Granola (summaries, transcripts, participants) into an Obsidian vault over the official API. Incremental and idempotent by note id and updated_at, so re-runs make no duplicates. Triggers: "/granola-sync", "pull granola", "refresh meetings".

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Prose final-pass editor for GitHub issue bodies, pull request bodies, release notes, README/docs changes, public comments, and user-facing explanations. Use when Codex drafts or revises substantial prose that will be published or committed, especially when the user asks to polish, de-slop, make it less AI-written, improve a PR/issue body, or prepare docs text; do not use for ordinary code implementation, debugging transcripts, logs, quoted text, command output, API names, or Chinese conversational replies unless explicitly requested.

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TDD 세션이 끝난 뒤 "어디서 시간·토큰이 많이 들었나"를 단계(Skill)·에이전트별로 집계하고 병목과 model/effort 조정안을 보고한다. 세션 transcript를 읽는 사후 분석이며 코드를 바꾸지 않는다. "이번 TDD 세션 병목 분석", "토큰 어디에 썼어", "어느 단계가 느렸어", "모델 조정 제안", "/tdd-profile" 요청 시 사용.

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Author a completed-spec fixture — a seeded intent graph plus a believable four-phase interview transcript — for a brunch feature, so it can feed any downstream tooling that consumes a completed spec or dogfood the UI. Use when you need a real completed specification in .brunch/brunch.db for testing or demo: pick a feature from memory/SPEC.md (or a free description), choose a stress profile (coverage|clean), and produce a registered scenario seed + an interview-questions doc that match exactly.

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YouTube transcripts to summaries, threads, blogs.

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Prepare, generate, proofread, and hand off captions for an approved video without hiding transcription uncertainty or changing the source cut.

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Baut aus einem Chatverlauf oder aus bestehenden Automatisierungs-Prompts (z. B. eines anderen Agenten-Systems) eine selbstlaufende, user-neutrale Workflow-Automatisierung: einen wiederkehrenden Prompt bzw. Automations-Skill für Cron/Schedule/Loop. Alias: automations-extractor. Nutze diesen Skill bei „mach daraus eine Automatisierung", „das soll regelmäßig/nächtlich laufen", „extrahiere Workflows aus diesen Chatverläufen/Automationen", „Automation aus dieser Session bauen", oder bei `/workflow-extract`. Ergänzt fehlende Automations-Bausteine (Rotations-Auswahl, Check-Registry, Idempotenz, Log-Hygiene, Freigabe-Gate, Eskalations-Handoff, Monitor-Meldedisziplin) systematisch. Enthält auch den Fleet-Audit-Modus: bestehende Automations-Flotten auf Silent-Failures, Redundanz, Drift und Lücken prüfen („prüfe meine Automatisierungen/Scheduled Tasks/Cron-Jobs"). Soll stattdessen ein abrufbarer Skill (Fähigkeit auf Zuruf) entstehen, den Schwester-Skill skill-extractor nutzen.

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Extrahiert aus einem Chatverlauf (aktuelle Session oder Transkript-Dateien) einen wiederverwendbaren Skill — oder verbessert einen sehr ähnlichen existierenden Skill, statt ein Duplikat zu erzeugen. Nutze diesen Skill bei „mach daraus einen Skill", „das sollten wir als Skill festhalten", „extrahiere Skills aus diesem/alten Chatverläufen", „diese Arbeitsweise wiederverwendbar machen", oder bei `/skill-extract`. Deckt auch Bulk-Läufe über viele alte Transkripte ab (mit Datenreduktion über Subagenten). Für wiederkehrende AUTOMATISIERUNGEN (Cron/Schedule/Loop) stattdessen den Schwester-Skill workflow-extract nutzen.

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