Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Whisper Stt
语音转文字 - 使用OpenAI Whisper将音频文件识别为文字
skill openclawclawhub Free
语音转文字 - 使用OpenAI Whisper将音频文件识别为文字
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README-CN.md, README.md, SKILL.md, transcribe.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- QiaoTuCodes
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Whisper 语音转文字技能
将音频/语音文件识别并转换为文字。
自动处理（推荐）
当用户发送语音/音频文件时，自动： 识别语音内容 转换为文字 发送文字到飞书
手动命令
用户发送音频文件后，技能自动处理。
支持格式
MP3, WAV, M4A, OGG, FLAC, WebM 任何音频格式（FFmpeg支持即可）
模型选择
模型大小速度精度tiny~1GB最快基础base~1GB快一般small~2GB中等较好medium~5GB较慢很好large~10GB最慢最佳turbo~6GB快接近large
技术实现
import whisper # 加载模型（首次使用会下载） model = whisper.load_model("base") # 可选: tiny/base/small/medium/large/turbo # 识别语音 result = model.transcribe("audio.mp3") # 输出文字 print(result["text"])
依赖
Python 3.8+ PyTorch openai-whisper ffmpeg
注意事项
首次使用会下载模型（1-10GB） 大模型需要较多内存 中文识别效果很好
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- README-CN.md
- README.md
- transcribe.py