Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Openclaw Feishu Optimizer
提供语音识别、多语言支持及消息格式化，优化 OpenClaw 在飞书平台上的语音与文本消息处理和智能回复体验。
skill openclawclawhub Free
提供语音识别、多语言支持及消息格式化，优化 OpenClaw 在飞书平台上的语音与文本消息处理和智能回复体验。
⬇ 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.md, SKILL.md, config.json, process-message.py, voice-recognize.py, x-promo-final.txt
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
- 1.0.0
Provenance
- Publisher
- huangshaoshuai123
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw 飞书体验优化者
专为 OpenClaw 在飞书平台上优化体验的技能包，提供语音识别、消息格式化、智能回复等增强功能。
1. 语音识别处理
自动语音识别：收到语音消息时自动识别为文字 多语言支持：支持中文、英文等多种语言识别 格式自动转换：自动处理各种音频格式（MP3、WAV、FLAC、OGG等）
2. 消息优化
智能回复格式化：优化回复内容的排版 表情识别：理解并回应表情符号 上下文感知：根据对话上下文提供更合适的回复
3. 飞书平台优化
消息类型支持：处理文字、语音、图片、文件等各种消息类型 响应时间优化：提升消息处理和回复速度 错误处理：优雅处理各种异常情况
依赖安装
pip3 install SpeechRecognition pydub
识别语音消息
# 识别中文语音 python3 /root/.openclaw/workspace/skills/openclaw-feishu-optimizer/voice-recognize.py <音频文件路径> --language zh-CN # 识别英文语音 python3 /root/.openclaw/workspace/skills/openclaw-feishu-optimizer/voice-recognize.py <音频文件路径> --language en-US
自动处理飞书消息
# 处理飞书消息的完整流程 python3 /root/.openclaw/workspace/skills/openclaw-feishu-optimizer/process-message.py <消息数据>
技能配置
{ "name": "openclaw-feishu-optimizer", "version": "1.0.0", "description": "OpenClaw 飞书体验优化者", "author": "黄绍帅（黄白）", "language": "zh-CN", "auto_recognize_voice": true, "auto_format_response": true, "voice_recognition": { "provider": "google", "default_language": "zh-CN" }, "message_formatting": { "enable_emoji": true, "enable_markdown": true, "enable_mention": true } }
处理语音消息
检测到语音消息 自动调用语音识别服务 将识别结果转换为文字 格式化回复内容 发送优化后的回复
处理文字消息
解析消息内容 识别关键词和需求 格式化回复 添加表情和优化排版 发送智能回复
语音识别失败
检查网络连接（Google Speech Recognition 需要联网） 检查音频文件是否损坏 尝试指定语言参数 --language zh-CN 检查音频质量（确保音量适中、无明显噪音）
依赖安装失败
# 检查 pip 是否正常工作 pip3 --version # 尝试使用国内源安装 pip3 install SpeechRecognition pydub -i https://pypi.tuna.tsinghua.edu.cn/simple
贡献与改进
欢迎提出改进意见和功能建议！你可以： 报告问题和 bug 建议新功能 提交代码改进 完善文档
许可证
本技能包遵循 OpenClaw 技能协议，仅供学习和个人使用。
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts1 Config1 Files
- SKILL.md
- README.md
- process-message.py
- voice-recognize.py
- config.json
- x-promo-final.txt