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language-tutor语言导师

Agent Skill

language-tutor 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,167

周安装

470

GitHub Stars

公开资料未说明

下载量

3,910
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:language-tutor(语言导师)
来源仓库:https://github.com/scikkk/language-tutor
安装命令:
openclaw skills install language-tutor
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 language-tutor

简介

language-tutor 利用 SenseAudio TTS 技术生成语言学习音频,支持发音练习与对话训练。

  • 适用于 OpenClaw 中需要语音交互、双语课程或慢速跟读功能的语言学习场景。
  • 通过输入文本或语音片段,Agent 可调用该技能生成定制化学习材料。
  • 需确认是否涉及第三方语音服务授权,并评估本地文件存储权限。
  • 可用于纠正发音错误或扩展多语言表达能力。

SKILL.md

name
senseaudio-language-tutor
description
Create language learning audio with SenseAudio TTS, including pronunciation drills, bilingual lessons, slowed speech practice, and dialogue exercises. Use when users need language learning materials, pronunciation practice, or vocabulary audio.
version
1.0.0
metadata
openclaw
requires
env
bins
primaryEnv
SENSEAUDIO_API_KEY
homepage
https://senseaudio.cn
install
package
requests
package
pydub
compatibility
required_credentials
description
API key from https://senseaudio.cn/platform/api-key
env_var
SENSEAUDIO_API_KEY
homepage
https://senseaudio.cn
source
https://github.com/anthropics/skills

SenseAudio Language Tutor

Create interactive language-learning audio with official SenseAudio TTS endpoints and parameters.

What This Skill Does

  • Generate pronunciation examples in supported voices
  • Create bilingual vocabulary and sentence practice audio
  • Produce slowed-speed listening drills for learners
  • Build short dialogue exercises with repetition pauses
  • Export lesson audio files and companion study notes

Credential and Dependency Rules

  • Read the API key from SENSEAUDIO_API_KEY.
  • Send auth only as Authorization: Bearer <API_KEY>.
  • Do not place API keys in query parameters, logs, or saved examples.
  • If Python helpers are used, this skill expects python3, requests, and pydub.
  • pydub may also require a local audio backend such as ffmpeg; if unavailable, prefer writing individual audio files instead of merging them.

Official TTS Constraints

Use the official SenseAudio TTS rules summarized below:

  • HTTP endpoint: POST https://api.senseaudio.cn/v1/t2a_v2
  • Model: SenseAudio-TTS-1.0
  • Max text length: 10000 characters
  • voice_setting.voice_id is required
  • voice_setting.speed range: 0.5-2.0
  • Optional audio format values: mp3, wav, pcm, flac
  • Optional sample rates: 8000, 16000, 22050, 24000, 32000, 44100
  • Optional MP3 bitrates: 32000, 64000, 128000, 256000
  • Optional channels: 1 or 2

Recommended Workflow

  1. Prepare lesson content:
  • Split vocabulary, example sentences, and dialogues into short chunks.
  • Keep each API call comfortably below the 10000 character limit.
  1. Build minimal TTS requests:
  • Send model, text, stream, and voice_setting.voice_id.
  • Add speed, pitch, vol, and audio_setting only when needed.
  1. Decode and save audio safely:
  • HTTP responses return hex-encoded audio in data.audio; decode before saving.
  • Keep filenames deterministic and avoid exposing secrets in paths or logs.
  1. Compose lessons carefully:
  • If pydub and an audio backend are available, merge clips and insert silence.
  • Otherwise, emit per-word or per-sentence clips and a manifest/Markdown study guide.
  1. Handle failures and traceability:
  • Check HTTP status and provider error payloads before decoding audio.
  • Record trace_id only for troubleshooting and avoid showing it unless needed.

Minimal Helper

import binascii
import os

import requests

API_KEY = os.environ["SENSEAUDIO_API_KEY"]
API_URL = "https://api.senseaudio.cn/v1/t2a_v2"


def generate_tts(text, voice_id="male_0004_a", speed=1.0, stream=False):
    payload = {
        "model": "SenseAudio-TTS-1.0",
        "text": text,
        "stream": stream,
        "voice_setting": {
            "voice_id": voice_id,
            "speed": speed,
        },
        "audio_setting": {
            "format": "mp3",
            "sample_rate": 32000,
            "bitrate": 128000,
            "channel": 2,
        },
    }
    response = requests.post(
        API_URL,
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json",
        },
        json=payload,
        timeout=60,
    )
    response.raise_for_status()
    data = response.json()
    audio_hex = data["data"]["audio"]
    return binascii.unhexlify(audio_hex), data.get("trace_id")

Patterns

Vocabulary Drill

  • Generate one clip for the target word
  • Generate one clip for an example sentence
  • Optionally generate a slower clip at speed=0.8
  • Save clips separately or merge with pauses

Bilingual Lesson

  • Alternate source phrase and translated phrase
  • Use short pauses (1000-2000ms) between clips
  • Consider different voice_id values for source and translation when helpful

Dialogue Practice

  • Create one clip per line of dialogue
  • Insert repetition pauses after each line
  • Prefer shorter turns for easier debugging and regeneration

Output Options

  • Individual MP3 clips for words, sentences, or dialogue turns
  • Merged lesson audio if local audio tooling is available
  • Markdown study guide with transcript, translation, and file manifest

Safety Notes

  • Do not hardcode credentials.
  • Do not claim unsupported language-selection parameters for TTS unless the official docs add them.
  • Avoid assuming raw bytes can be passed directly to pydub.AudioSegment; decode and load through a supported container format.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.32%
按下载量换算3,492

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安装前确认

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