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Found 69 Skills
[QwenCloud] Synthesize speech from text with Qwen TTS models. TRIGGER when: user wants to convert text to speech, create voiceovers, generate audio narration, read text aloud, build TTS applications, mentions speech synthesis/voice generation/audio output from text, or explicitly invokes this skill by name (e.g. use qwencloud-audio-tts). DO NOT TRIGGER when: user wants speech recognition/ASR, text generation without audio, non-Qwen audio tasks.
DingTalk AI Minutes. Use when querying or modifying meeting summaries, full transcripts, keywords, tags, action items, recordings, uploads, mind maps, speaker insights, ASR hotwords/recognition word configuration, or sharing permissions. For writing documents use dingtalk-doc; for creating todos use dingtalk-todo; for calendar use dingtalk-calendar. Command prefix: dws minutes.
Design and review Rust trait APIs, generic bounds, dispatch models, and conversion contracts for clear public interfaces. Use when designing, refactoring, or reviewing traits, generics, trait objects, associated types, impl Trait, From/TryFrom, AsRef, Borrow, or crate APIs.
Local speech-to-text via Handy app (push-to-talk) and NeMo CLI scripts. Parakeet V3: 25 languages, auto-detection, ~30x realtime on M4 Max, 6% WER. This skill should be used when transcribing audio files or dictating voice input.
Thin orchestrator for the end-to-end video localization pipeline. Routes to the four focused sub-skills — /wjs-transcribing-audio, /wjs-translating-subtitles, /wjs-dubbing-video, /wjs-burning-subtitles. Use when the user asks for full localization in one go ("帮我把这个西班牙语视频做成中文字幕+配音", "translate and dub this video", "做完整的本地化"). For any individual step (just transcribe, just translate, just dub, just burn), invoke the sub-skill directly — it's faster and the boundary is cleaner.
Use when "CLIP", "Whisper", "Stable Diffusion", "SDXL", "speech-to-text", "text-to-image", "image generation", "transcription", "zero-shot classification", "image-text similarity", "inpainting", "ControlNet"
Use this skill when the user says phrases like "get transcript", "transcribe video", "extract script", "help me extract it", "what does this video say", "what did this blogger say", or directly provides a video link requesting content extraction. Even if the user only sends a video link without stating their request, proactively trigger this skill if the context involves benchmark analysis or content extraction. Call video2text.py to obtain the raw transcript, use AI to correct common speech recognition errors, identify the author, and archive it to the benchmark blogger directory. Do NOT trigger for: analyzing viral content patterns (use li-analyzer), recording own topic ideas (use li-recorder), writing own scripts (use li-writer). Use when the user wants to "get transcript", "transcribe video", "extract script", or gives a video link for content extraction. Runs speech-to-text, AI proofreads, and archives to benchmark blogger directory.
Spoken video transcription and slip-of-the-tongue recognition. Generate review drafts and deletion task checklists. Trigger phrases: edit spoken video, process video, recognize slip-of-the-tongue
Environment Preparation. Install dependencies, configure API Key, verify environment. Trigger words: install, environment preparation, initialization