Vocalize Claude's last response using local Qwen3-TTS. Default voice is the Oracle (deep, resonant Dune narrator). Use --preset for emotion-controlled preset speakers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Vocalize text using local Qwen3-TTS. Default voice is the Oracle (cloned from a Dune narrator with deep, resonant, prophetic quality).
| Command | Effect |
|---|---|
/speak | Last 2 sentences with Oracle voice |
/speak 5 | Last 5 sentences with Oracle voice |
/speak "The sleeper must awaken." | Specific text with Oracle voice |
/speak --preset mood:warm | Last 2 sentences with preset speaker + emotion |
/speak --preset "Hello" speaker:Vivian voice:"nurturing" | Preset speaker with custom voice |
The oracle voice is a deep, resonant, prophetic voice cloned from a Dune narrator. It speaks all text with a sense of ancient wisdom and gravitas.
# Default usage - Oracle voice
scripts/speak.sh "The spice must flow."
scripts/speak.sh "He who controls the spice controls the universe."
The Oracle uses voice cloning (Base model), which does not support per-message instruction control. The voice characteristics are fixed. For emotion/mood control, use --preset.
For emotion and mood control, use --preset to switch to CustomVoice with adjustable instructions:
scripts/speak.sh --preset "<text>" [speaker] [instruction]
# Calm therapeutic voice
scripts/speak.sh --preset "Take a deep breath." Vivian "calm, nurturing, gentle pace"
# Excited announcement
scripts/speak.sh --preset "We did it!" Ryan "joyful, excited, enthusiastic"
# Serious explanation
scripts/speak.sh --preset "This is important." Eric "serious, measured, emphatic"
The model understands rich natural language descriptions:
| Aspect | Examples |
|---|---|
| Emotion | joyful, melancholic, anxious, calm, excited, contemplative |
| Pace | slow and deliberate, rapid and energetic, measured, hesitant |
| Intensity | soft and gentle, loud and commanding, whispered, emphatic |
| Style | warm and nurturing, professional, playful, dramatic |
| Prosody | with dramatic pauses, rising intonation, emphatic on key words |
| Preset | Expands To |
|---|---|
calm | "calm, soothing, gentle pace" |
warm | "warm, empathetic, nurturing tone" |
excited | "joyful, excited, enthusiastic" |
serious | "serious, measured, authoritative" |
gentle | "soft, gentle, whispered" |
encouraging | "encouraging, uplifting, sincere" |
contemplative | "thoughtful, slow pace, reflective" |
| Speaker | Best For |
|---|---|
| Ryan (default) | Professional, serious, authoritative |
| Vivian | Warm, nurturing, therapeutic |
| Serena | Calm, gentle, contemplative |
| Dylan | Friendly, casual, playful |
| Eric | Serious, dramatic, commanding |
| Aiden | Encouraging, uplifting, energetic |
| Uncle_Fu | Wise, measured |
| Ono_Anna | Soft, gentle |
| Sohee | Clear, professional |
# Oracle voice (default)
scripts/speak.sh "<text>"
# Preset speaker with instruction
scripts/speak.sh --preset "<text>" [speaker] [instruction]
Clone any voice from a 3+ second audio sample:
# Get transcript first (use Whisper API)
curl -s https://api.openai.com/v1/audio/transcriptions \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-F file="@reference.mp3" -F model="whisper-1"
# Clone the voice
scripts/clone.sh "<text to speak>" "<audio_file>" "<transcript>"
Design entirely new voices from natural language descriptions:
scripts/design-voice.sh "<sample_text>" "<voice_description>"
# Example: Create a warm guide voice
scripts/design-voice.sh \
"Take a deep breath and feel this moment." \
"warm, nurturing, gentle pace, empathetic, female"
Then clone the designed voice for reuse:
scripts/clone.sh "New text" designed-voice.wav "Original sample text"
See references/moods.md for more instruction examples.
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Search academic papers, build literature reviews, and synthesize research findings — combines Exa search (publication category, domain and date filters) with arxiv-mcp-server for paper discovery, download, and deep analysis. Triggers on academic paper, literature review, research synthesis, arxiv, find papers, scholarly search.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Academic research skill for Biblical Hebrew, Semitic linguistics, cuneiform studies, and comparative Ancient Near Eastern research. Provides Sefaria API for Hebrew Bible, CDLI/ORACC for cuneiform databases, and web discovery via Omnisearch, Exa, Firecrawl, and Obscura for finding scholarly sources across JSTOR, Perseus, Persée, Google Scholar, and academia.edu. Triggers on Hebrew quotes, cuneiform, Sefaria, ANE research, Minoan, search for scholarship, find papers, literature review, scholarly search, academic search, Genesis/Tehom, Ugaritic, Talmudic sources, extract from PDF, OCR academic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate physically-based atmospheric scattering shaders — sky domes, planetary atmospheres, LUT-optimized pipelines, depth-aware post-processing. Four modes — sky-dome, atmosphere-post, planet, lut. Triggers on atmospheric scattering, sky shader, sunset rendering, planet atmosphere, Rayleigh scattering, Mie scattering, volumetric sky, sky dome, atmosphere post-processing, aerial perspective, transmittance LUT, sky rendering, realistic sky, planetary rendering.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.