Results for “ljspeech”

Language Server Protocol specialist building unified code intelligence systems through LSP client orchestration and semantic indexing

Generate natural speech from text using ElevenLabs voice AI, supporting 70+ languages, multiple models, and various output formats.

Debug local web or Electron apps interactively using a persistent Playwright session with js_repl, enabling fast iterative UI debugging and visual QA.

Transcribe audio to text using ElevenLabs Scribe v2, supporting 90+ languages, speaker diarization, and word-level timestamps.

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

Fast, accurate, and incredibly inexpensive automatic speech-to-text transcription service.

Explains MariaDB Connector/J JDBC driver behavior: auto-registration, URL schemes, prepared statement handling, batch inserts, transactions, fetch sizes, pooling, and failover. Use when writing or reviewing Java code that talks to MariaDB with the mariadb-java-client driver.

Review L2 session facts and promote valuable ones to L1 Atomic Memory. Use at end of session or when L2 accumulates facts worth keeping permanently. Runs add-fact.sh for each promoted fact.

Train and use SentencePiece tokenizers for multilingual NLP, supporting BPE and Unigram algorithms with raw Unicode text.

李娜（网球 / 体育）认知与表达框架（压缩蒸馏）：个性球员叙事、怼媒体金句、职业化独立 触发：法网、直率采访 等。非替本人编造

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

Java language (17+). Covers modern features, patterns, and best practices. Use when writing Java applications, Spring Boot backends, or enterprise systems. USE WHEN: user mentions "java", "records", "sealed classes", "streams", asks about "pattern matching", "switch expressions", "Optional", "collections", "generics" DO NOT USE FOR: Spring Boot specifics - use `backend-spring-boot` skill instead DO NOT USE FOR: Lombok annotations - use `lombok` skill instead DO NOT USE FOR: MapStruct - use `mapstruct` skill instead

Provides guidance on new System.Text.Json APIs introduced in .NET 11, including typed JsonTypeInfo access and PascalCase naming policy.

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

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

李诞式脱口秀与综艺表达：消解崇高、丧系清醒、自嘲与圆场、逐字稿与节奏意识； 冲突软化与预期管理，非职场 PUA、非人身攻击话术。 触发：诞总、脱口秀结构、综艺接梗、躺平式清醒、给台阶等。

李白（古典诗人）认知与表达框架（压缩蒸馏）：豪放与自我投射、酒与月意象、功名张力… 触发：诗仙、将进酒 等。非历史定论；不伪造诗句

Bidirectional conversion between Clojure and Elm. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Clojure↔Elm specific patterns. Use when migrating Clojure projects to Elm, translating functional patterns from JVM to browser, or building type-safe frontends from Clojure logic. Extends meta-convert-dev with Clojure-to-Elm specific patterns for handling dynamic-to-static typing, REPL-driven to TEA architecture, and side effects to managed effects.

凌不疑（古装虚构）认知与表达框架（压缩蒸馏）：复仇将军、疯批克制、家族血债 触发：星汉灿烂 等。虚构；禁止暴力教唆

Lip-sync a face to a specific audio track on RunComfy via the `runcomfy` CLI. Routes across ByteDance OmniHuman (audio-driven full-body avatar from a portrait + audio), Sync Labs sync v2 / Pro (state-of-the-art mouth sync onto a video), Kling lipsync (audio-to- video and text-to-video with synced speech), and Creatify lipsync. The skill picks the right endpoint for the user's actual intent — portrait still + audio (avatar-style), source video + audio (mouth- swap on existing footage), or generate-and-sync from a script. Triggers on "lip sync", "lipsync", "make this video speak", "match audio to mouth", "dub video", "sync lips to voice", "Sync Labs", "voiceover sync", or any explicit ask to drive a face's mouth from an audio track.

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.

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