Results for “speaker-introduction”

Creates a presenter-mode deck with speaker notes, theme switching, and a popup teleprompter.

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

Transcribe audio files to text with optional speaker diarization and known-speaker hints using OpenAI models.

Create realistic multi-speaker dialogue audio using Dia TTS via the inference.sh CLI, with control over speaker tags, emotion, pacing, and conversation structure.

Founder onboarding interview that captures company context across 7 dimensions. Invoke with /cs:setup for initial interview or /cs:update for quarterly refresh. Generates ~/.claude/company-context.md used by all C-suite advisor skills.

Structure spoken product-sense interview answers with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs.

ElevenLabs text-to-speech with mac-style say UX.

Imported skill welcome from langchain

ElevenLabs text-to-speech with mac-style say UX.

ElevenLabs text-to-speech with mac-style say UX.

Text-to-speech and speech-to-text using fal.ai audio models

ElevenLabs text-to-speech with mac-style say UX.

Text-to-speech and speech-to-text using fal.ai audio models

Text-to-speech and speech-to-text using fal.ai audio models

セッション再開時に最新5件のhandoffを読み込み文脈を復元するスキル。「おはよう」「こんにちは」「こんばんは」「再開」「restart」または /resume-session を呼んだ時にトリガーする。new-session の対（読込側）。

朴树（音乐人）认知与表达框架（压缩蒸馏）：内向真诚、少话多留白、生命与创作一体… 触发：平凡之路 等。不消费抑郁；非医疗建议

ElevenLabs text-to-speech with mac-style say UX.

ElevenLabs text-to-speech with mac-style say UX.

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

ElevenLabs text-to-speech with mac-style say UX.

ElevenLabs text-to-speech with mac-style say UX.

Text-to-speech and speech-to-text using fal.ai audio models

FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.