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byted-las-audio-extract-and-split AI Agent Skill
View Source: bytedance/agentkit-samples
SafeInstallation
npx skills add bytedance/agentkit-samples --skill byted-las-audio-extract-and-split 11
Installs
LAS-AUDIO-EXTRACT-AND-SPLIT (las_audio_extract_and_split)
本 Skill 用于调用 LAS 音频切分算子,支持从视频/音频中提取音频并按时长切分。
POST https://operator.las.cn-beijing.volces.com/api/v1/process同步处理
快速开始
在本 skill 目录执行:
python3 scripts/skill.py --help执行音频切分
python3 scripts/skill.py process \
--input-path "tos://bucket/input.mp4" \
--output-path-template "tos://bucket/output/{index}.wav" \
--split-duration 30 \
--output-format wav参数说明
input_path: 输入文件的 TOS 路径。output_path_template: 输出文件路径模版。支持变量{index},{index1},{ordinal},{hours},{duration},{output_file_ext}。split_duration: 切片时长(秒),默认 30。output_format: 输出格式,支持 wav, mp3, flac,默认 wav。
常见问题
- 确保 TOS 路径有读写权限。
- API Key 需通过环境变量
LAS_API_KEY或env.sh配置。
Installs
Security Audit
View Source
bytedance/agentkit-samples
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How to use this skill
Install byted-las-audio-extract-and-split by running npx skills add bytedance/agentkit-samples --skill byted-las-audio-extract-and-split in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of byted-las-audio-extract-and-split, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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