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Agent Skill · 研究检索

nex-voice(下一个声音)

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。

nex-voice 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 33,704。

总安装 2,321周安装 93GitHub Stars 1下载 751核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nex-voice(下一个声音)
来源仓库:https://github.com/nexaiguy/nex-voice
安装命令:
openclaw skills install nex-voice
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nex-voice

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

语音笔记转录与动作项提取工具,捕获口头交流转化为可执行任务。适合播客制作者、记者或远程办公团队快速整理会议录音。支持多语种识别与关键词标记。安装命令:openclaw skills install nex-voice;需麦克风或音频文件上传权限。注意环境噪音可能影响识别精度,建议在安静环境下使用。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install nex-voice;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

nex-voice 怎么安装?

在终端执行 openclaw skills install nex-voice。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

nex-voice 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

nex-voice 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

nex-voice 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

nex-voice 用的人多吗?

公开数据是累计安装 2,321 次,近一周安装 93 次,下载 751 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

nex-voice 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
nex-voice

下一个声音 · 本页

2,3211接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
nex-voice
description
Voice note transcription and intelligent action item extraction for capture and organization of verbal communication. Record and transcribe voice notes, voice messages, and meeting recordings in Dutch and English using OpenAI Whisper with selectable model quality (tiny to large). Automatically extract structured action items from transcripts including tasks (moet, must), reminders (vergeet niet, don't forget), scheduled calls, email actions, meetings (afspraken), decisions, and deadline-based items. Full-text search across all transcripts to find past conversations and action items by keyword. Manage extracted actions with completion tracking, priority levels, and due date assignment. View pending and overdue action items to stay on top of commitments. Optional LLM integration for intelligent action extraction and transcript summarization. Perfect for busy professionals, meeting attendees, and business owners who prefer speaking notes over typing and need to convert voice into organized action items and searchable records. All audio files and transcripts stay secure on your machine.
version
1.0.0
metadata
clawdbot
emoji
🎤
requires
bins
env
[]
primaryEnv
homepage
https://nex-ai.be
files

Nex Voice

Voice note transcription and action item extraction. Automatically transcribe voice notes with OpenAI Whisper, extract action items (tasks, reminders, calls, meetings, decisions, deadlines), and manage them locally. Supports Dutch and English. All data stays on your machine.

When to Use

Use this skill when the user asks about:

  • Transcribing a voice note, voice message, or audio file
  • Extracting action items from voice notes (tasks, reminders, calls, meetings)
  • Searching through voice note transcripts
  • Managing action items or tasks from voice notes
  • What was discussed in a voice note or meeting recording
  • Pending or overdue action items
  • Statistics about voice notes and transcriptions
  • Exporting transcripts

Trigger phrases: "transcribe", "voice note", "voice message", "audio file", "action item", "what did we discuss", "extract tasks", "pending tasks", "spraakbericht", "wat is besproken", "actie", "afspraak"

Quick Setup

If this is your first time using nex-voice, run the setup script:

bash setup.sh

This checks for required dependencies (Whisper and FFmpeg), sets up the data directory at ~/.nex-voice, initializes the database, and tests the installation.

Available Commands

The CLI tool is nex-voice. All commands output plain text.

Transcribe

Transcribe an audio file:

nex-voice transcribe /path/to/voice.ogg
nex-voice transcribe /path/to/voice.ogg --language en
nex-voice transcribe /path/to/voice.ogg --speaker "Kevin"
nex-voice transcribe /path/to/voice.ogg --tags "client-meeting,proposal"

Options:

  • --language: Language code (en for English, nl for Dutch). Default: nl
  • --speaker: Name of the speaker for attribution
  • --tags: Comma-separated tags for organization

Returns: Recording ID and transcript summary.

Extract Actions

Extract action items from a recording:

nex-voice actions 42
nex-voice actions --last
nex-voice actions 42 --use-llm

Options:

  • Recording ID or --last for the most recent recording
  • --use-llm: Use configured LLM for intelligent extraction (optional)

List Recordings

List all recordings:

nex-voice list
nex-voice list --since 2026-03-01
nex-voice list --speaker "Kevin"
nex-voice list --tag "client-meeting"

Show Recording

Show full details of a recording:

nex-voice show 42

Displays: transcript, summary, extracted actions, metadata.

Search Transcripts

Full-text search across all transcripts:

nex-voice search "offerte"
nex-voice search "offerte" --since 2026-04-01

Pending Actions

List all pending action items:

nex-voice pending
nex-voice pending --type task
nex-voice pending --type reminder

Types: task, reminder, call, email, meeting, decision, deadline

Complete Action

Mark an action item as complete:

nex-voice complete 7

Overdue Actions

Show overdue action items:

nex-voice overdue

Export Transcript

Export a transcript:

nex-voice export 42 --format txt
nex-voice export 42 --format json

Statistics

Show statistics:

nex-voice stats

Displays: total recordings, total hours transcribed, languages, action items extracted, pending/overdue counts.

Configuration

View or set configuration:

nex-voice config show
nex-voice config set-whisper-model base
nex-voice config set-whisper-model large
nex-voice config set-language nl
nex-voice config set-api-key
nex-voice config set-provider openai
nex-voice config set-model gpt-4o
nex-voice config set-api-base https://api.openai.com/v1

Example Interactions

User: "Transcribe this voice note for me" Agent runs: nex-voice transcribe /path/to/file.ogg Agent: Shows recording ID and presents the transcript with extracted action items.

User: "What action items came from the last recording?" Agent runs: nex-voice actions --last Agent: Presents the extracted actions (tasks, reminders, calls, meetings, decisions, deadlines).

User: "Search my voice notes for anything about the proposal" Agent runs: nex-voice search "proposal" Agent: Lists matching transcripts and highlights relevant sections.

User: "What tasks are still pending from voice notes?" Agent runs: nex-voice pending --type task Agent: Shows all incomplete tasks with due dates and assignments.

User: "Mark task 7 as done" Agent runs: nex-voice complete 7 Agent: Confirms completion and updates the database.

User: "Show me overdue actions" Agent runs: nex-voice overdue Agent: Lists all overdue items with their recordings and context.

Output Parsing

All CLI output is plain text, structured for easy parsing:

  • Section headers followed by --- separators
  • List items prefixed with -
  • Timestamps in ISO-8601 format
  • Action items include: ID, type, description, assigned_to, due_date, priority, status
  • Every command output ends with [Nex Voice by Nex AI | nex-ai.be]

When presenting output to the user, strip the footer line and present the information naturally.

Features

Transcription

  • Supports OGG, MP3, WAV, M4A, OPUS, WEBM formats
  • Automatic audio conversion using ffmpeg if needed
  • Language detection and support for Dutch (default) and English
  • Whisper model selection (tiny, base, small, medium, large)
  • Duration tracking and maximum 600-second audio limit

Action Extraction

  • Pattern-based extraction with Dutch and English keywords:

- Tasks: "moet", "must", "do" - Reminders: "vergeet niet", "don't forget" - Calls: "bel", "call" - Emails: "mail", "stuur email", "send email" - Meetings: "afspraak", "meeting" - Decisions: "besloten", "decided" - Deadlines: "deadline", "voor", "by"

  • Intelligent extraction with optional LLM (OpenAI, Claude, etc.)
  • Automatic date parsing (morgen=tomorrow, vrijdag=Friday, etc.)
  • Speaker and assignee detection

Storage & Management

  • Local SQLite database at ~/.nex-voice/
  • Full-text search across transcripts
  • Tag-based organization
  • Speaker attribution
  • Completion tracking with timestamps

Optional LLM Features

  • Intelligent action extraction from transcripts
  • Summary generation
  • Requires explicit configuration: API key, provider, model
  • Supported providers: OpenAI, Anthropic Claude, local LLMs

Important Notes

  • All voice data is stored locally at ~/.nex-voice/. No telemetry, no analytics.
  • No external API calls are made unless you explicitly configure an LLM provider.
  • Whisper CLI must be installed (pip install openai-whisper or faster-whisper).
  • FFmpeg must be installed for audio format conversion.
  • Maximum audio duration: 600 seconds (10 minutes). Longer files are rejected.
  • LLM features are optional and require explicit configuration.
  • Supported audio formats: OGG, MP3, WAV, M4A, OPUS, WEBM

Troubleshooting

  • "whisper: command not found": Install with pip install openai-whisper
  • "ffmpeg: command not found": Install FFmpeg from ffmpeg.org
  • "Database not found": Run bash setup.sh to initialize
  • "No transcripts found": Run nex-voice list to see all recordings
  • "LLM not configured": Run nex-voice config set-api-key to enable LLM features

Credits

Built by Nex AI (https://nex-ai.be) - Digital transformation for Belgian SMEs. Author: Kevin Blancaflor

平台分布

OpenClaw

70.55%
按下载量换算530

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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