subtitle-generator当用户需要生成字幕、制作字幕、字幕对齐、ASR识别、语音转文字时使用此技能。触发词:生成字幕, 字幕生成, 制作字幕, 视频字幕, 语音识别, ASR字幕, Whisper字幕, 字幕制作, 视频转字幕, 字幕对齐, 音频转字幕, 语音转文字, 自动字幕, ASR识别, faster-whisper, subti...
Install via ClawdBot CLI:
clawdbot install aqbjqtd/subtitle-generatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://download.pytorch.org/whl/metalAudited Apr 17, 2026 · audit v1.0
Generated Aug 11, 2026
Media companies and content creators can use this skill to generate subtitles in multiple languages, making their videos accessible to international audiences. The automatic language detection and support for 99+ languages streamline the localization workflow, reducing manual transcription efforts and time-to-market.
Educational institutions can leverage this skill to transcribe lectures, seminars, and online courses into text, providing accurate subtitles for hearing-impaired students and enabling searchable content repositories. The background execution and simple CLI make it easy to integrate into existing workflows.
Social media marketers often need to create subtitled versions of videos for platforms like TikTok, Instagram, and YouTube. This skill allows quick generation of SRT/VTT files, enabling marketers to produce engaging, accessible content with minimal effort, thus increasing reach and engagement.
HR and L&D teams can use this skill to add subtitles to training videos, ensuring consistency and comprehension across diverse teams. The support for multiple languages facilitates global rollouts of training materials, and background execution ensures minimal disruption to other tasks.
Podcasters and webinar hosts can convert audio/video content into text for show notes, blog posts, and SEO improvements. This skill's ASR capabilities provide quick transcription, enabling creators to publish written content alongside episodes, boosting audience engagement and discoverability.
Offer a cloud-based subtitle generation service with monthly/annual subscription plans. Users upload videos and download subtitles; the skill's efficiency and automatic background processing make it attractive for high-volume users. Revenue comes from recurring subscription fees.
Expose the skill as a REST API where clients pay per minute of audio/video processed. This model is ideal for developers and businesses that need occasional transcription services without a huge upfront investment. Revenue is generated per transaction.
License the skill to enterprises for internal use, with customization to fit their specific workflows (e.g., integration with existing video platforms, branding, etc.). Revenue comes from one-time licensing fees and annual maintenance/updates.
💬 Integration Tip
Integrate the skill into an existing workflow by using the Python command line interface directly, or wrap it in a simple web service with a queue system to handle multiple requests asynchronously.
Scored Aug 11, 2026
视频自动剪辑助手。基于 FFmpeg 自动提取精彩片段、生成字幕、裁剪时长、制作短视视频,支持多平台导出。当用户需要:自动剪辑视频、提取关键词片段、生成字幕并烧录、导出短视频、提取视频精华、生成视频摘要时使用此技能。
Perform video editing tasks with ffmpeg, including cutting, merging, converting formats, extracting audio, adding subtitles, resizing, cropping, adjusting sp...
When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "reg...
Use when the user has a video + a target-language SRT and wants the video to actually speak that language — generates a time-aligned TTS voice dub. Routes by...
Extract frames or short clips from videos using ffmpeg.
本地视频转文字 - 使用 OpenAI Whisper 进行语音识别,完全免费、离线运行、保护隐私