Use this skill to add a new TTS engine to Voicebox. It walks through dependency research, backend implementation, frontend wiring, PyInstaller bundling, and frozen-build testing. Always start with Phase 0 (dependency audit) before writing any code.
Use this skill to draft or update the [Unreleased] section of CHANGELOG.md from the actual changes since the last tag. Run this at any point during development to keep a working copy of the release narrative. Does NOT bump versions or create tags.
Use this skill to triage the open PR queue before a release. Classifies every open PR into must-merge, candidate, superseded, or deferred; writes a working triage doc; and runs the merge loop end-to-end. Designed for the pre-release "PR speedrun" pass where a solo maintainer wants to clear the inbound backlog in a…
A workflow for tracking Facebook posts associated with the Ba Nini counter-indicator and analysing them in Chinese. A counter-indicator treats a person or group’s public views as signals that may point in the opposite direction.
Verify a Txtify change end-to-end. Use before committing any nontrivial change, when asked to "verify", "test this", or "make sure nothing breaks", and always after touching the worker/transcription path, dependencies, or the Dockerfile.
A skill for turning video links or local videos from supported platforms into AI-generated Markdown notes. It can inspect videos, use available subtitles or transcription, and return notes with key points and chapters.
Analyze narrated screen recordings and audio files through the talkthrough MCP server — triage feedback into findings, extract specs/backlogs/action items from recordings, and correlate spoken remarks with logs via wall-clock timestamps. Use when the user mentions a screen recording, screencast, narrated video/audio…
Analyze narrated screen recordings and audio files — timestamped transcript, scene keyframes, OCR text, and wall-clock anchoring via the local talkthrough MCP server. Use when the user shares a recording or asks to triage feedback, extract meeting actions, or correlate a recording with logs.
Use when a task requires reading, transcribing, or extracting content from audio or voice — WhatsApp PTT/voice notes (.opus/.ogg), meeting recordings, .mp3/.m4a/.wav/.mp4 files, or audio attachments inside a WhatsApp chat-export zip.
Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables 20x realtime transcription. SRT/VTT/TTML/CSV subtitles, speaker diarization, URL/YouTube input, batch processing with ETA, transcript search, chapter detection, per-file language map.
A workflow for using Whisper.cpp, a speech-to-text program, to turn long videos into searchable subtitles and find useful sales or product-promotion clips.
Offline speech-to-text and speaker diarization with the ffvoice engine. Use when the user wants to transcribe an audio file, generate subtitles (SRT/VTT/JSON), identify who spoke when (speaker diarization), caption or transcribe live microphone input, or list audio input devices — all fully on-device, with no cloud…
Native knowledge-graph ingestion of Whisper transcripts on the audio-transcriber MCP server — transcribe an audio/video file and push it into the epistemic-graph in one call: the raw audio as a shared :MediaAsset blob, the transcript text as a :Document, and each Whisper segment as a :TranscriptSegment node linked…
Operate audio-transcriber through its governed MCP and GraphOS capabilities, including audio transcriber knowledge graph, audio transcriber transcription. Use when a request requires this provider's read, change, automation, ingestion, troubleshooting, or evidence workflows.
Speech-to-text on the audio-transcriber MCP server — run Whisper (faster-whisper, falling back to openai-whisper) over a local audio/video file or a microphone recording, and export txt/srt/vtt/json captions. Use when the agent must transcribe or translate spoken audio, generate subtitle/caption files, or pick a…
Transcribe local audio files (voice memos, meeting recordings, dictations, interviews; m4a/mp3/wav/opus/ogg/flac, also the audio track of local video files) in high quality via Whisper (configurable API endpoint) and place the transcript as a dated .md next to the source file. Use whenever the user drops an audio…
Transcribe YouTube videos and podcast episodes in high quality (Whisper via a configurable API endpoint) and distill compact findings with timestamps. Use whenever the user wants a video "watched", summarized, transcribed or analyzed, drops a YouTube or podcast URL together with a question, asks "what does he say…
Manage Slack channel access — approve pairings, edit allowlists, set DM/channel policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the Slack channel.
Set up the Slack channel — save the bot and app tokens and review access policy. Use when the user pastes Slack tokens, asks to configure Slack, asks "how do I set this up" or "who can reach me," or wants to check channel status.
A Chinese-language workflow for turning customer research recordings into structured meeting minutes. It covers transcription with Whisper, AI-generated requirements notes with a business process diagram, and exporting the result as Markdown, HTML, PDF, or DOCX.
A local microphone connector for WorkBuddy that records audio through the computer's operating system and can transcribe it with faster-whisper, a speech-to-text tool.