Audio Processing

Use when working on totalaud.io experimental project - ensures experimental code stays isolated from Total Audio Platform production code, prevents cross-contamination of dependencies, validates no production impact from experimental features

This skill should be used when users need to download audio or music from online platforms like YouTube, SoundCloud, Spotify, or other streaming services. It provides yt-dlp and spotdl command templates for high-quality audio extraction, playlist downloads, metadata embedding, and multi-platform support.

Transforms content into a voiceover-ready script optimized for Chatterbox TTS. Use when the user provides ANY content for voiceover - URLs, raw text, video scripts, notes, or asks to "create a script" for audio.

Use this skill when helping write content for tacosdedatos newsletter/blog. Provides complete voice analysis, structural patterns, engagement mechanics, and writing principles for the distinctive bilingual tech-writer voice. Use for brainstorming post ideas, structuring drafts, writing posts, editing for voice authenticity, creating headlines, quality checking drafts, and generating quick outlines. Essential for maintaining the unique tacosdedatos voice that blends Spanish/English, technical depth with accessibility, vulnerability with expertise, and Mexican cultural identity with Bay Area tech culture.

Transcribe audio files from meetings into text documents using Whisper. Use when the user types /transcribe, has a new audio recording, or when RA detects new audio files in meetings/audio/. Supports speaker diarization with pyannote.

Dual-mode workflow issue logger. Use with mode=log to append mistakes during waves. Use with mode=summary at workflow end to review accumulated issues. Use when completing /build, /audit, or /ms workflows.

Analyzes narrative text and files to identify and remove AI-generated signals while preserving authentic voice and style. Runs input through comprehensive protocols covering vocabulary, syntax, character voice, emotional depth, and readability. Use this skill when you need to proof narrative content against AI detection patterns or humanize AI-assisted writing.

Olivenet marka sesi ve icin strateji referansi. Use when creating content, captions, hooks, or understanding brand voice.

Transform rough ideas into clear, engaging writing using Gary Provost's rhythm and structure principles. Use when the user needs help writing emails, tweets, scripts, sales copy, articles, or any content where readability, flow, and digestibility matter. Ideal for entrepreneurs and content creators who want to turn ideas into professional writing without sounding robotic or over-polished. Apply when the user asks for help writing, editing for clarity, improving pacing, or making content more engaging.

Use when creating motion that needs dimensional grounding, designing transforms that maintain object integrity, or ensuring animations feel structurally sound.

Complete guide for OpenAI's traditional/stateless APIs: Chat Completions (GPT-5, GPT-4o), Embeddings,Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes both Node.js SDK and fetch-basedapproaches for maximum compatibility.Use when: integrating OpenAI APIs, implementing chat completions with GPT-5/GPT-4o, generating textwith streaming, using function calling/tools, creating structured outputs with JSON schemas,implementing embeddings for RAG, generating images with DALL-E 3, transcribing audio with Whisper,synthesizing speech with TTS, moderating content, deploying to Cloudflare Workers, or encounteringerrors like rate limits (429), invalid API keys (401), function calling failures, streaming parseerrors, embeddings dimension mismatches, or token limit exceeded.Keywords: openai api, chat completions, gpt-5, gpt-5-mini, gpt-5-nano, gpt-4o, gpt-4-turbo,openai sdk, openai streaming, function calling, structured output, json schema, openai embeddings,text-embedding-3, dall-e-3, image ge

Use when the user wants to analyze writing samples to extract voice patterns, create voice-replicating prompts, or refine content generation prompts to match a specific writing style

Analyze and optimize AGC (Automatic Gain Control) parameters for WaveCap-SDR channels. Use when audio is too quiet, too loud, has pumping artifacts, or when tuning AGC attack/release/target settings for FM/AM/SSB modes.

Detects and removes AI writing patterns from text. Use when polishing drafts, cleaning AI-generated content, or ensuring writing sounds authentically human. Invoke with "run through slop detector", "clean this up", or "remove AI fingerprints".

Personal knowledge management system for founders, creators, and builders. Manages personal brand, content creation, network relationships, goals, and provides voice/tone consistency for content generation.

Game audio design patterns for creating sound effects and UI audio. Use when designing sounds for games, writing AI audio prompts (ElevenLabs, etc.), creating feedback sounds, or specifying audio for abilities/UI. Includes psychological principles from Kind Games, volume hierarchy, frequency masking prevention, and prompt engineering for AI audio generation.

Provides context about Ed, his mission, terminology, and business. Use when working on Ed's projects, coaching business, AI Powerhouse content, BlackBelt work, or The Little Blue Report. Also use when Ed asks you to understand his business or speak in his voice.

Capture a writer's voice DNA through collaborative interview and sample analysis. Use when someone wants to document their writing voice for use with a ghost writer skill. Produces a Voice DNA Document with patterns, anti-patterns, and actionable guidance. Handles one register/mode per session, supports refinement over time.

Speech feedback to user via MCP audio servers. Use when providing status updates or asking questions.

Transform changelogs, user showcases, and product updates into Twitter posts. Use for social media content creation with Matt Palmer's casual voice.