transcribe
The transcribe skill converts audio and video files to text using the active speech-to-text provider configured in Settings, supporting OpenAI Whisper, Deepgram, and Google Gemini. Use this skill when you need to extract spoken content from media files, with automatic audio extraction from video, chunking for large files, and support for common formats like mp4, mp3, wav, and m4a.
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant /tmp/transcribe && cp -r /tmp/transcribe/assistant/src/config/bundled-skills/transcribe ~/.claude/skills/transcribeSKILL.md
Transcribe audio and video files using the configured speech-to-text provider. Supports multiple STT providers including OpenAI Whisper, Deepgram, and Google Gemini — the active provider is selected in Settings under Speech-to-Text (`services.stt`). ## Usage Notes - The tool accepts a `file_path` (absolute path to a local audio or video file) to transcribe. - Supported formats: any video (mp4, mov, etc.) or audio (mp3, wav, m4a, etc.) file. - For video files, audio is automatically extracted via ffmpeg before transcription. - Large files are automatically split into chunks for processing. - If no STT provider credentials are configured, the tool will return an error with setup instructions. - The STT provider (`services.stt`) is shared between transcription and telephony call paths. ## Maintenance When adding or modifying an STT provider, follow the onboarding checklist at `assistant/docs/stt-provider-onboarding.md`. That document covers the daemon catalog, config schema, adapter wiring, client catalog parity, and required tests.
Set up, authenticate, and run external coding agents (Claude Code, Codex) via the Agent Client Protocol
Shop on Amazon and Amazon Fresh through your browser
Record and analyze API surfaces of web services
Build and edit small, personal visual tools and artifacts — dashboards, trackers, calculators, data visualizations, charts, simple landing pages, and slide decks the user wants for THEMSELVES. This is the right skill whenever the user asks to "visualize this," "make a chart," or "build an artifact" for their own use, or to edit an app they already built here. Do NOT reach for a ui_show dynamic_page to fake an artifact — build a real persistent app here. A one-off diagram, chart, or explainer that just accompanies an answer belongs to the visualize skill (ui_show visual), not an app. NOT for complex, multi-user, or shippable products — those go to a real project folder with a coding agent (see Scope below).
Drive a specific named macOS app via raw input bypassing the Accessibility tree
Migrate from ChatGPT, Claude, OpenClaw, Hermes, Manus, and other AI assistants into Vellum by inspecting their data exports, conversation archives, files, prompts, custom instructions, memory, saved memories, tools, GPTs, workflows, integrations, and relationships, then mapping as much as safely possible into Vellum primitives. Handles single-source and multi-source migrations with a unified, deduplicated inventory.
Chat with and search your complex documents — ask questions, extract tables and fields, and get answers grounded in the source. Connects the hosted Unstructured Transform MCP server to parse, structure, and enrich PDFs, Word/Excel/PowerPoint, images, scanned files, emails, and 60+ other formats into clean, AI-ready text for search, Q&A, and summarization without building a custom parsing pipeline.
Import conversation history from ChatGPT into Vellum