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Found 127 Skills
Use when implementing speech-to-text, audio transcription, real-time streaming STT, audio intelligence features, or voice AI using AssemblyAI APIs or SDKs. Use when user mentions AssemblyAI, voice agents, transcription, speaker diarization, PII redaction of audio, LLM Gateway for audio understanding, or applying LLMs to transcripts. Also use when building voice agents with LiveKit or Pipecat that need speech-to-text, or when the user is working with any audio/video processing pipeline that could benefit from transcription, even if they don't mention AssemblyAI by name.
Convin platform help — AI-powered contact center QA, coaching, and conversation intelligence. Use when setting up Convin automated QA scoring, Convin Real-Time Assist not surfacing prompts, Convin transcription missing speakers or inaccurate with accents, Convin audits hanging or calls delayed on dashboard, Convin AI Phone Call agent for outbound, Convin LMS agent training, or evaluating Convin vs Observe.AI vs Cresta vs Balto vs Enthu.AI for contact center QA. Do NOT use for CCaaS platform selection (use /sales-ccaas-selection) or building a coaching program (use /sales-coaching).
Queries the UniBind database for experimentally validated transcription factor (TF) binding sites. Use when retrieving direct TF-DNA interaction datasets, downloading binding site coordinates (BED/FASTA) for local analysis, or listing available datasets by species, cell line, or TF name. Don't use to query specific intervals, locations, genes, motif models or expression data.
Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.
Extract, transcribe, and translate YouTube video transcripts using the YouTubeTranscript.dev V2 API. Supports captions, ASR audio transcription, batch processing (up to 100 videos), translation to 100+ languages, and multiple output formats. Use when working with YouTube videos, subtitles, captions, or video-to-text conversion.
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Connect to PAXS AI platform to create meetings, upload recordings, and generate transcriptions and meeting notes. Use this skill when a user wants to transcribe audio, create meeting notes, or interact with the PAXS platform.
Read, watch, and listen to video/audio files. Extract key frames to "see" videos, extract audio to "hear" them via Whisper transcription. Use when a user sends a video/audio and asks about its content, what's in it, what someone said, etc.
Z.ai API integration for building applications with GLM models. Use when working with Z.ai/ZhipuAI APIs for: (1) Chat completions with GLM-4.7/4.6/4.5 models, (2) Vision/multimodal tasks with GLM-4.6V, (3) Image generation with GLM-Image or CogView-4, (4) Video generation with CogVideoX-3 or Vidu models, (5) Audio transcription with GLM-ASR-2512, (6) Function calling and tool use, (7) Web search integration, (8) Translation, slide/poster generation agents. Triggers: Z.ai, ZhipuAI, GLM, BigModel, Zhipu, CogVideoX, CogView, Vidu.
Read, watch, and listen to video/audio files. Use Gemini for native video understanding, or extract key frames + Whisper transcription as fallback. Use when a user sends a video/audio and asks about its content, what's in it, what someone said, etc.
Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary. Supports YouTube, Bilibili, X/Twitter video, Xiaoyuzhou, Apple Podcasts, and direct audio/video links. Uses yt-dlp for subtitles and Groq Whisper for transcription.
Summarize Hebrew tech lectures and meetings from transcription files into structured Markdown. Use when the user asks to summarize a transcription, create meeting notes, summarize a lecture/presentation in Hebrew, or mentions סיכום/תמלול/הרצאה.