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Found 126 Skills
Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Receive and verify Deepgram webhooks (callbacks). Use when setting up Deepgram webhook handlers, processing transcription callbacks, or handling asynchronous transcription results.
Audio forensics and voice recovery guidelines for CSI-level audio analysis. This skill should be used when recovering voice from low-quality or low-volume audio, enhancing degraded recordings, performing forensic audio analysis, or transcribing difficult audio. Triggers on tasks involving audio enhancement, noise reduction, voice isolation, forensic authentication, or audio transcription.
Process videos with the VideoDB Python SDK. Handles trimming, combining clips, audio overlays, background music, subtitles, transcription, voiceover, text/image overlays, transcoding, resolution change, aspect-ratio fix, resizing for social platforms, media generation, search, and real-time capture — all server-side with no ffmpeg or local encoding tools needed.
Download videos from social media URLs (X/Twitter, YouTube, Instagram, TikTok, etc.) using yt-dlp. Use when saving a video locally, extracting content for transcription, or archiving video references.
Bilibili video platform CLI. TRIGGER when user mentions B站/Bilibili/哔哩哔哩, asks to search videos, check trending/hot/rank, look up UP主, view video details/subtitles/comments, manage watch history/favorites/watch-later, interact with videos (like/coin/triple), post/delete dynamics, or download audio for transcription.
alfred_ (get-alfred.ai) platform help — AI executive assistant that autonomously triages email, drafts replies, extracts tasks, and manages calendar. Use when inbox is overwhelming and you need AI to triage email overnight, spending too much time on email replies and want AI drafting in your voice, need tasks auto-extracted from emails into a kanban board, want focus time protected on your calendar, need a daily brief of what matters today, or comparing alfred_ to Fyxer AI, Superhuman, Lindy, or Reclaim. Do NOT use for meeting recording or transcription (use /sales-note-taker) or meeting scheduling and booking pages (use /sales-meeting-scheduler).
Scribbl platform help — bot-free AI meeting notes Chrome extension for Google Meet with instant summaries, action items, and AI Copilot chat. Use when setting up Scribbl for automatic meeting recording and transcription on Google Meet, troubleshooting Scribbl Chrome extension not recording or transcription missing, configuring team sharing and meeting library organization with collections, deciding between Scribbl free and Pro plans or evaluating whether Team plan CRM integrations are worth it, comparing Scribbl to other bot-free note-takers like Tactiq or Granola, or wondering why Scribbl only works on Google Meet and when Zoom and Teams support is coming. Do NOT use for comparing AI note-takers across all platforms (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio say', 'get transcript', 'subtitle generation', or requests to extract spoken words from a file. Also use when the user wants speaker identification from audio, timestamps for captions, or multilingual transcription.
ElevenLabs speech-to-text with Scribe models and forced alignment via inference.sh CLI. Models: Scribe v1/v2 (98%+ accuracy, 90+ languages). Capabilities: transcription, speaker diarization, audio event tagging, word-level timestamps, forced alignment, subtitle generation. Use for: meeting transcription, subtitles, podcast transcripts, lip-sync timing, karaoke. Triggers: elevenlabs stt, elevenlabs transcription, scribe, elevenlabs speech to text, forced alignment, word alignment, subtitle timing, diarization, speaker identification, audio event detection, eleven labs transcribe
Generate Chinese / Japanese speech with StepFun's stepaudio-2.5-tts — Contextual TTS that replaces step-tts-2's `voice_label` with natural-language `instruction` (≤200 chars) plus inline `()` parentheses for句内 prosody. Use when the user wants emotional / prosody control over voice synthesis (whisper, pause, stress, mood pivot mid-sentence), batch-generates game / app voice lines, migrates from `step-tts-2` (the `voice_label → instruction` breaking change), or hits StepFun's stricter 2.5-era censorship (死/消失/political terms). Triggers on 阶跃 TTS, StepAudio 合成, 语音合成, 配音, 文本转语音, TTS 升级, 迁移 step-tts-2. For transcription with the sibling stepaudio-2.5-asr model, use the stepfun-asr skill instead.