audio-generation
Control audio generation requests before execution. Use this when the user asks for TTS, persona voice, voice change, translated dub, cloned voice take, podcast audio, or lip-sync audio handoff and the skill must classify the request before handing execution to voice-batch-runner or a video workflow.
What this skill does
# Audio Generation ## Use When - The desired final asset is generated audio or audio prepared for a video render. - The request includes TTS, voice design, voice cloning, voice change, translated dub, podcast audio, or lip-sync handoff. - The next decision is audio task class, reference policy, and runner handoff. ## Do Not Use When - The user only needs transcription, subtitles, or audio analysis. Use `media-router`. - The voice request is already normalized for execution. Use `voice-batch-runner`. - The final work is a full video production pipeline. Use `video-generation` or `ugc-flow` after the audio handoff is clear. ## Core Boundary This is the audio generation controller. It does not submit jobs. It must classify the task and hand off execution. It must not let a runner invent voice strategy, translation policy, or lip-sync intent. ## Task Classes | Task class | Use when | Handoff | | --- | --- | --- | | `tts` | new spoken audio from script | `voice-batch-runner` with voice design rules | | `change_voice` | preserve script, alter voice identity or delivery | reference contract, then `voice-batch-runner` | | `translate_dub` | translate and dub source audio | require language, meaning-preservation, and timing policy | | `voice_clone_take` | approved reference voice should preserve timbre | bind reference audio, then `voice-batch-runner` | | `podcast_audio` | speaker-led or conversational audio | create voice/script handoff before video assembly | | `lip_sync_handoff` | audio drives talking-head or UGC render | `voice-batch-runner`, then `video-generation` | ## Reference Rules - Approved voice reference audio is `binding`. - Accent, energy, cadence, or genre examples are inspiration-only unless the user explicitly binds them. - Source audio used only for translation meaning is not a voice identity binding unless stated. - Excluded voices, music, or effects must not enter the runner request. ## Routing Table | If not audio-generation | Send to | | --- | --- | | Transcribe or analyze existing audio | `media-router` | | Need generated image/video around audio | `video-generation` | | Need normalized hosted voice execution | `voice-batch-runner` | | Need lip-sync video after audio | `video-generation` | ## Output Shape Return: - `taskClass` - `scriptPolicy` - `voicePolicy` - `referencePolicy` - `runnerHandoff` - `nextVideoHandoff` when lip-sync or video assembly follows - `mustNotDo` ## Stop Conditions - Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result. - Do not ask `voice-batch-runner` to decide the creative role of the voice. - If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools. ## Public Command Boundary - Choose the smallest matching command or workflow from the user input and run it directly. - If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools. - This public skill is instruction-driven. Produce the controller handoff artifact directly from the available evidence. - Do not call private provider/runtime paths or unpublished local tools. - If the CLI returns a quote-confirmation challenge, run `postplus quote confirm --json --challenge-file <challenge.json>` and retry with the returned token.
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.