.agents/skills/dialogue-audio/SKILL.md
Multi-speaker dialogue audio creation with Dia TTS. Covers speaker tags, emotion control, pacing, conversation flow, and post-production. Use for: podcasts, audiobooks, explainers, character dialogue, conversational content. Triggers: dialogue audio, multi speaker, conversation audio, dia tts, two speakers, podcast audio, character voices, voice acting, dialogue generation, conversation tts, multi voice, speaker tags, dialogue recording
npx skillsauth add RomainGRAS42/Procedio-AI dialogue-audioInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Create realistic multi-speaker dialogue with Dia TTS via inference.sh CLI.
curl -fsSL https://cli.inference.sh | sh && infsh login
# Two-speaker conversation
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Have you tried the new feature yet? [S2] Not yet, but I heard it saves a ton of time. [S1] It really does. I cut my workflow in half. [S2] Okay, I am definitely trying it today."
}'
Dia TTS uses [S1] and [S2] to distinguish two speakers.
| Tag | Role | Voice |
|-----|------|-------|
| [S1] | Speaker 1 | Automatically assigned voice A |
| [S2] | Speaker 2 | Automatically assigned voice B |
Rules:
[S1] not [s1]Dia TTS interprets punctuation and non-speech cues for emotional delivery.
| Punctuation | Effect | Example |
|-------------|--------|---------|
| . | Neutral, declarative, medium pause | "This is important." |
| ! | Emphasis, excitement, energy | "This is amazing!" |
| ? | Rising intonation, questioning | "Are you sure about that?" |
| ... | Hesitation, trailing off, long pause | "I thought it would work... but it didn't." |
| , | Short breath pause | "First, we analyze. Then, we act." |
| — or -- | Interruption or pivot | "I was going to say — never mind." |
Dia TTS supports parenthetical sound descriptions:
(laughs) — laughter
(sighs) — exasperation or relief
(clears throat) — attention-getting pause
(whispers) — softer delivery
(gasps) — surprise
# Excited conversation
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Guess what happened today! [S2] What? Tell me! [S1] We hit ten thousand users! [S2] (gasps) No way! That is incredible! [S1] I know... I still cannot believe it."
}'
# Serious/thoughtful dialogue
infsh app run falai/dia-tts --input '{
"prompt": "[S1] We need to talk about the timeline. [S2] (sighs) I know. It is tight. [S1] Can we cut anything from the scope? [S2] Maybe... but it would mean dropping the analytics dashboard. [S1] That is a tough trade-off."
}'
# Teaching/explaining
infsh app run falai/dia-tts --input '{
"prompt": "[S1] So how does it actually work? [S2] Great question. Think of it like a pipeline. Data comes in on one end, gets processed in the middle, and comes out transformed on the other side. [S1] Like an assembly line? [S2] Exactly! Each step adds something."
}'
| Technique | Pause Length | Use For |
|-----------|-------------|---------|
| Comma , | ~0.3 seconds | Between clauses, list items |
| Period . | ~0.5 seconds | Between sentences |
| Ellipsis ... | ~1.0 seconds | Dramatic pause, thinking, hesitation |
| New speaker tag | ~0.3 seconds | Natural turn-taking gap |
# Fast-paced, energetic
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Ready? [S2] Ready. [S1] Let us go! Three features. Five minutes. [S2] Hit it! [S1] Feature one: real-time sync."
}'
# Slow, contemplative
infsh app run falai/dia-tts --input '{
"prompt": "[S1] I have been thinking about this for a while... and I think we need to change direction. [S2] What do you mean? [S1] The market has shifted. What worked last year... is not working now."
}'
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Welcome to the show. Today we have a special guest. Tell us about yourself. [S2] Thanks for having me! I am a product designer, and I have been building tools for creators for about ten years. [S1] What got you started in design? [S2] Honestly? I was terrible at coding but loved making things look good. (laughs) So design was the natural path."
}'
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Can you walk me through the setup process? [S2] Sure. Step one, install the CLI. It takes about thirty seconds. [S1] And then? [S2] Step two, run the login command. It will open your browser for authentication. [S1] That sounds simple. [S2] It is! Step three, you are ready to run your first app."
}'
infsh app run falai/dia-tts --input '{
"prompt": "[S1] I think we should go with option A. It is faster to implement. [S2] But option B scales better long-term. [S1] Sure, but we need something shipping this quarter. [S2] Fair point... what if we do A now with a migration path to B? [S1] That could work. Let us prototype it."
}'
Both speakers should be at consistent volume. If one is louder:
# Merge with balanced audio
infsh app run infsh/video-audio-merger --input '{
"video": "talking-head.mp4",
"audio": "dialogue.mp3",
"audio_volume": 1.0
}'
# Merge dialogue with background music
infsh app run infsh/media-merger --input '{
"media": ["dialogue.mp3", "background-music.mp3"]
}'
For conversations longer than ~30 seconds, generate in segments:
# Segment 1: Introduction
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Welcome back to another episode..."
}'
# Segment 2: Main content
infsh app run falai/dia-tts --input '{
"prompt": "[S1] So let us dive into today s topic..."
}'
# Segment 3: Wrap-up
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Great conversation today..."
}'
# Merge all segments
infsh app run infsh/media-merger --input '{
"media": ["segment1.mp3", "segment2.mp3", "segment3.mp3"]
}'
| Do | Don't | |----|-------| | Write how people talk | Write how people write | | Short sentences (< 15 words) | Long academic sentences | | Contractions ("can't", "won't") | Formal ("cannot", "will not") | | Natural fillers ("So,", "Well,") | Every sentence perfectly formed | | Vary sentence length | All sentences same length | | Include reactions ("Exactly!", "Hmm.") | One-sided monologues | | Read it aloud before generating | Assume it sounds right |
| Mistake | Problem | Fix |
|---------|---------|-----|
| Monologues longer than 3 sentences | Sounds like a lecture, not conversation | Break into exchanges |
| No emotional variation | Flat, robotic delivery | Use punctuation and non-speech cues |
| Missing speaker tags | Voices don't alternate | Start every turn with [S1] or [S2] |
| Formal written language | Sounds unnatural spoken | Use contractions, short sentences |
| No pauses between topics | Feels rushed | Use ... or scene breaks |
| All same energy level | Monotonous | Vary between high/low energy moments |
npx skills add inferencesh/skills@text-to-speech
npx skills add inferencesh/skills@ai-podcast-creation
npx skills add inferencesh/skills@ai-avatar-video
Browse all apps: infsh app list
tools
YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image
tools
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
development
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
development
Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.