飞书语音循环

SKILL音频生成

原名 feishu-voice-loop

音频生成 接触敏感数据 许可证明确 OpenClaw
安装这个技能

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

累计安装 11,981 本周 480
GitHub 星标 未标注 仓库 feishu-voice-loop
下载量 3,878 技能市场下载数
权限级别 接触敏感数据 安装前请确认风险范围
许可证 许可证明确 MIT-0

安装

ClawHub 市场
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
openclaw skills install feishu-voice-loop

技能档案

音频生成
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方pengzhuowen仓库 feishu-voice-loop · 版本 1.0.0
宿主客户端OpenClaw技能可被这些客户端加载
安装方式ClawHub 市场安装包 pengzhuowen/feishu-voice-loop
权限级别接触敏感数据安装前请确认风险范围
许可证MIT-0许可证明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-05-01上游最后核验时间 · 数据更新 未标注
正文体量3.8 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

5 项能力
上游给出的能力概览与适用场景
  • 按任务关键词查找相关 Skills
  • 展示可复制的安装命令
  • 保留来源站点、仓库和原始说明,方便继续核验
  • 补充不同宿主或平台的使用分布数据
  • 展示第三方安全扫描或审计结果
OpenClaw 用户查找和安装 Skill 时用户想查找某类 Agent Skill 时需要根据任务场景推荐可安装能力包时需要对比不同来源的安装命令和来源信息时

权限与风险

接触敏感数据
装之前先读完这段

安装与使用指南

安装步骤

本站只展示命令,不托管安装包,也不自动执行。

怎么用

安装后应在对应宿主中按原始 README 的触发条件使用;当前草稿只做目录说明,具体调用方式由规则抽取,异常条目再复核。

SKILL.md 全文

3.8 KB
模型实际读到的说明书原文,来自技能仓库

Feishu Voice Loop

Provide a reusable three-step voice loop for OpenClaw:
1. accept text or voice input
2. generate speech with OpenAI TTS
3. return the audio to Feishu or a web player

When the input is voice, transcribe it to text first, then continue through the same output pipeline.

Quick start

Prerequisites:
- OPENAI_API_KEY is set for TTS
- Feishu app credentials exist in ~/.openclaw/openclaw.json under channels.feishu.appId/appSecret, or are passed explicitly
- ffmpeg and ffprobe are installed and available
- local audio transcription is configured in ~/.openclaw/openclaw.json under tools.media.audio.models

Main scripts:
- scripts/openai_tts_feishu.py
- scripts/transcribe_audio.py

Tasks

1. Transcribe voice input

Use this when you have a local .ogg, .opus, .wav, or similar file and want text.

python3 scripts/transcribe_audio.py /path/to/input.ogg

This script reuses the existing Whisper CLI configuration from ~/.openclaw/openclaw.json.

2. Generate and send voice output

Use this when you already have text and want to send a Feishu voice message.

python3 scripts/openai_tts_feishu.py \
  --to <feishu_open_id> \
  --text "这条是语音测试。" \
  --voice alloy \
  --model gpt-4o-mini-tts

The script will:
1. call OpenAI audio/speech
2. save WAV audio temporarily
3. convert to Feishu-friendly Opus via ffmpeg
4. upload the file to Feishu
5. send an audio message to the target open_id

3. Run the full voice loop

Use this skill when the goal is a reusable voice interaction pipeline:
1. transcribe input audio to text
2. decide or generate the reply text
3. synthesize reply audio with OpenAI TTS
4. send the reply back to Feishu

Read references/input-output-workflow.md when building or explaining the end-to-end loop.

Default output style

Default preset is stored in references/presets.md.

Unless the user asks otherwise, use:
- model: gpt-4o-mini-tts
- voice: alloy
- default style: 年轻日系男声感、温柔里带一点撩、贴耳边私聊感、自然、不播音腔

When the user asks for a different flavor, either:
- pass a custom --instructions
- or adapt one of the presets in references/presets.md

Handle failures

Common failure cases:
- Missing OPENAI_API_KEY → ask for API key / env setup
- HTTP 429 from OpenAI → billing or quota issue
- missing Feishu app credentials → configure channels.feishu.appId/appSecret
- missing ffmpeg or ffprobe → install locally before retrying
- missing transcription model config → configure tools.media.audio.models

When OpenAI billing is not enabled, say so directly instead of pretending the voice was generated.

Packaging and sharing

Package with:

python3 /Users/zoepeng/.openclaw/lib/node_modules/openclaw/skills/skill-creator/scripts/package_skill.py \
  /Users/zoepeng/.openclaw/workspace/skills/openai-feishu-voice

The resulting .skill file can be shared or uploaded wherever the user distributes skills.

Resources

scripts/openai_tts_feishu.py

Use for deterministic TTS generation and Feishu delivery.

scripts/transcribe_audio.py

Use for deterministic local audio transcription via the configured Whisper CLI.

references/presets.md

Read when the user asks for a different voice direction or wants named presets.

references/input-output-workflow.md

Read when packaging or explaining the complete voice-in / voice-out solution.

安全信息

审计结论
未标注不代表已通过审计
安全审计VirusTotal、ClawScan、Static analysis第三方安全审计平台给出的结论

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-05-01。