Agent skill

Listenhub Tts

使用 ListenHub API 将文本转换为语音（TTS）。支持三种模式：快速合成（/v1/tts）、多角色脚本（/v1/speech）、长文本流式合成（/v1/flow-speech/episodes）。

Install Listenhub Tts

skills CLI

$ npx skills add smallnest/goal-workflow --skill listenhub-tts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install smallnest/goal-workflow listenhub-tts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/listenhub-tts .claude/skills/listenhub-tts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "listenhub-tts" agent skill from https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts into .claude/skills/listenhub-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub-tts", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add smallnest/goal-workflow --skill listenhub-tts -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install smallnest/goal-workflow listenhub-tts --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/listenhub-tts .agents/skills/listenhub-tts && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "listenhub-tts" agent skill from https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts into .agents/skills/listenhub-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub-tts", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add smallnest/goal-workflow --skill listenhub-tts -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install smallnest/goal-workflow listenhub-tts --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/listenhub-tts .cursor/skills/listenhub-tts && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "listenhub-tts" agent skill from https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts into .cursor/skills/listenhub-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub-tts", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/smallnest/goal-workflow.git --path skills/listenhub-tts

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add smallnest/goal-workflow --skill listenhub-tts -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install smallnest/goal-workflow listenhub-tts --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/listenhub-tts .gemini/skills/listenhub-tts && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "listenhub-tts" agent skill from https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts into .gemini/skills/listenhub-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub-tts", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install smallnest/goal-workflow listenhub-tts

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add smallnest/goal-workflow --skill listenhub-tts -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/listenhub-tts .github/skills/listenhub-tts && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "listenhub-tts" agent skill from https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts into .github/skills/listenhub-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub-tts", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add smallnest/goal-workflow --skill listenhub-tts -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install smallnest/goal-workflow listenhub-tts --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/smallnest/goal-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/listenhub-tts .opencode/skills/listenhub-tts && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "listenhub-tts" agent skill from https://github.com/smallnest/goal-workflow/tree/master/skills/listenhub-tts into .opencode/skills/listenhub-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub-tts", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: listenhub-tts
GitHub stars: 291
Token cost: ~1.5k tokens
SKILL.md length: 354 words
Files: 1
Skills in repo: 20
Repo updated: Sep 13, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

使用 ListenHub API 将文本转换为语音（TTS）。支持三种模式：快速合成（/v1/tts）、多角色脚本（/v1/speech）、长文本流式合成（/v1/flow-speech/episodes）。

Works in 3 steps: 调用 GET /v1/speakers/list?language=zh… → 按 AskUserQuestion 展示音色列表供用户选择，格式如下 → 用户确认后使用选定的 speakerId
Tasks that involve Text to speech and voice
SKILL.md covers API 信息, 音色选择流程, 三种合成模式 and 音色列表查询, plus 5 more sections
Calls curl; reaches api.marswave.ai; needs LISTENHUB_API_KEY

What it does

Listenhub Tts is an agent skill from smallnest/goal-workflow. 使用 ListenHub API 将文本转换为语音（TTS）。支持三种模式：快速合成（/v1/tts）、多角色脚本（/v1/speech）、长文本流式合成（/v1/flow-speech/episodes）。音色未指定时自动获取音色列表供用户选择，默认使用 chat-girl-105-cn（晓曼）。 Use when user says: "tts", "text to speech", "语音合成", "文字转语音", "朗读", "生成语音", "生成音频", "转音频", "text to audio"

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Text to speech and voice. The repository describes itself as: AI-driven development workflow with /prd, /goal, /review-it and /ship-it skills. The licence is MIT.

When your agent uses it

Tasks that involve Text to speech and voice

Example prompts

“text to speech”
“text to audio”
“/listenhub-tts”

Requirements

A credential in LISTENHUB_API_KEY
Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, AskUserQuestion

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

调用 GET /v1/speakers/list?language=zh 获取可用音色列表
按 AskUserQuestion 展示音色列表供用户选择，格式如下
用户确认后使用选定的 speakerId

What it can do on your machine

Read from SKILL.md and the folder at commit b06ab3c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Write
- Edit
- Bash
- AskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.marswave.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- LISTENHUB_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Listenhub Tts loads about 1.5k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 354 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~68
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Read, Write, Edit, Bash, AskUserQuestion
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from smallnest/goal-workflow at commit b06ab3c, republished under its MIT licence (© smallnest). 354 words, ~1,532 tokens.

Download SKILL.mdSave it as .claude/skills/listenhub-tts/SKILL.md (or your agent's skills folder).

name: listenhub-tts
description: 使用 ListenHub API 将文本转换为语音（TTS）。支持三种模式：快速合成（/v1/tts）、多角色脚本（/v1/speech）、长文本流式合成（/v1/flow-speech/episodes）。音色未指定时自动获取音色列表供用户选择，默认使用 chat-girl-105-cn（晓曼）。 Use when user says: "tts", "text to speech", "语音合成", "文字转语音", "朗读", "生成语音", "生成音频", "转音频", "text to audio"
allowed-tools: Read, Write, Edit, Bash, AskUserQuestion
user-invocable: true
metadata.trigger: TTS语音合成、text to speech、文字转语音、朗读文本、生成音频

ListenHub TTS: 文本转语音

使用 ListenHub OpenAPI 将文本转换为语音。支持三种合成模式，覆盖从短文本到长文本的全场景。

API 信息

Base URL: https://api.marswave.ai/openapi
认证: Authorization: Bearer $LISTENHUB_API_KEY（从环境变量读取）
前置检查: 调用任何 API 前先确认 LISTENHUB_API_KEY 环境变量已设置，未设置则提示用户配置

音色选择流程

用户已明确指定音色

直接使用用户指定的 speakerId，跳过选择流程。

用户未指定音色

调用 GET /v1/speakers/list?language=zh 获取可用音色列表
按 AskUserQuestion 展示音色列表供用户选择，格式如下：
- 默认选中 chat-girl-105-cn（晓曼 dxqqq）
- 列表展示：{name}（{gender}，{speakerId}）
- 附带每个音色的 demoAudioUrl 供参考
用户确认后使用选定的 speakerId

默认音色

字段	值
speakerId	`chat-girl-105-cn`
名称	晓曼 dxqqq

三种合成模式

模式一：快速合成（短文本，单音色）

适用场景： 短文本（< 1000 字），单音色，需要低延迟

接口： POST /v1/tts

请求体：

json

{
  "text": "要合成的文本",
  "speakerId": "chat-girl-105-cn",
  "format": "mp3",
  "sampleRate": 24000,
  "speed": 1.0
}

参数	类型	必填	说明
text	string	是	要合成的文本
speakerId	string	是	音色 ID
format	string	否	输出格式，默认 `mp3`
sampleRate	int	否	采样率，默认 `24000`
speed	float	否	语速，默认 `1.0`，范围 `0.5 ~ 2.0`

响应： 直接返回 MP3 二进制流（Content-Type: audio/mpeg）

调用示例：

bash

curl -X POST "https://api.marswave.ai/openapi/v1/tts" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "你好世界", "speakerId": "chat-girl-105-cn"}' \
  -o output.mp3

模式二：多角色脚本合成

适用场景： 多角色对话、播客、有声书片段，需要不同音色交替朗读

接口： POST /v1/speech

请求体：

json

{
  "script": [
    {
      "text": "你好，欢迎收听本期节目。",
      "speakerId": "chat-girl-105-cn"
    },
    {
      "text": "谢谢，今天我们来聊聊 AI。",
      "speakerId": "chat-boy-101-cn"
    }
  ],
  "format": "mp3",
  "sampleRate": 24000
}

参数	类型	必填	说明
script	array	是	脚本数组，每项包含 text 和 speakerId
script[].text	string	是	该段文本
script[].speakerId	string	是	该段的音色 ID
format	string	否	输出格式，默认 `mp3`
sampleRate	int	否	采样率，默认 `24000`

响应： JSON

json

{
  "audioUrl": "https://cdn.example.com/output.mp3",
  "duration": 12.5
}

调用示例：

bash

curl -X POST "https://api.marswave.ai/openapi/v1/speech" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "script": [
      {"text": "你好，欢迎收听。", "speakerId": "chat-girl-105-cn"},
      {"text": "谢谢，我们开始吧。", "speakerId": "chat-boy-101-cn"}
    ]
  }'

模式三：长文本流式合成

适用场景： 长文本（> 1000 字），文章朗读，需要 AI 润色或分段处理

接口： POST /v1/flow-speech/episodes

请求体：

json

{
  "title": "文章标题",
  "content": "长文本内容...",
  "speakerId": "chat-girl-105-cn",
  "mode": "direct",
  "format": "mp3"
}

参数	类型	必填	说明
title	string	是	音频标题
content	string	否	文本内容（与 contentUrl 二选一）
contentUrl	string	否	内容 URL（与 content 二选一）
speakerId	string	是	音色 ID
mode	string	否	`direct`（直接合成）或 `aiPolish`（AI 润色），默认 `direct`
format	string	否	输出格式，默认 `mp3`

响应： JSON

json

{
  "episodeId": "ep_abc123",
  "status": "processing"
}

轮询获取结果：

bash

GET /v1/flow-speech/episodes/{episodeId}

轮询策略：

提交后等待 30 秒
之后每 10 秒轮询一次
直到 status 变为 completed 或 failed

轮询响应：

json

{
  "episodeId": "ep_abc123",
  "status": "completed",
  "audioUrl": "https://cdn.example.com/output.mp3",
  "duration": 180.5
}

status 值	说明
processing	合成中，继续轮询
completed	合成完成，audioUrl 可用
failed	合成失败，查看 errorMessage

调用示例：

bash

# 提交任务
curl -X POST "https://api.marswave.ai/openapi/v1/flow-speech/episodes" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "AI 技术趋势",
    "content": "长文本内容...",
    "speakerId": "chat-girl-105-cn",
    "mode": "direct"
  }'

# 轮询结果
curl "https://api.marswave.ai/openapi/v1/flow-speech/episodes/ep_abc123" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY"

Show full SKILL.md (133 more words)Show less

音色列表查询

接口： GET /v1/speakers/list

查询参数：

参数	类型	必填	说明
language	string	否	筛选语言，如 `zh`（中文）、`en`（英文）

响应：

json

{
  "speakers": [
    {
      "name": "晓曼 dxqqq",
      "speakerId": "chat-girl-105-cn",
      "demoAudioUrl": "https://cdn.example.com/demo.mp3",
      "gender": "female",
      "language": "zh"
    }
  ]
}

模式选择逻辑

根据用户输入自动选择最合适的模式：

条件	模式
文本 ≤ 1000 字，单音色	模式一：`/v1/tts`
多角色脚本，需要不同音色	模式二：`/v1/speech`
文本 > 1000 字，或需要 AI 润色	模式三：`/v1/flow-speech/episodes`
用户提供 URL 作为内容来源	模式三：`/v1/flow-speech/episodes`

如果用户明确指定模式，优先使用用户指定的模式。

用户交互

音色选择

当用户未指定音色时，使用 AskUserQuestion 展示音色列表：

请选择音色（默认：晓曼 dxqqq）：
A. 晓曼 dxqqq（女，chat-girl-105-cn）[默认]
B. [其他音色名称]（[性别]，[speakerId]）
C. ...

合成参数

可选询问：

语速 speed（默认 1.0）
输出格式 format（默认 mp3）
长文本模式：direct 还是 aiPolish（默认 direct）
输出文件路径（默认 ./output.mp3）

输出

将音频保存到指定路径（默认 ./output.mp3）
输出合成摘要：
- 使用的模式
- 音色名称和 ID
- 音频时长
- 文件大小
- 文件路径

错误处理

401 Unauthorized: 提示用户检查 LISTENHUB_API_KEY 环境变量
400 Bad Request: 检查请求参数，向用户报告具体错误
flow-speech failed: 报告 errorMessage，建议用户重试或切换模式
网络错误: 提示检查网络连接，建议重试

完整示例

用户输入： "把这段文字转成语音：今天天气真好，适合出去散步。"

执行流程：

检查 LISTENHUB_API_KEY ✓
文本长度 < 1000 字，单音色 → 选择模式一 /v1/tts
用户未指定音色 → 默认使用 chat-girl-105-cn（晓曼）
调用 API 合成
保存到 ./output.mp3
输出摘要

用户输入： "用晓曼的声音朗读这篇文章：article.md"

执行流程：

读取 article.md 内容
检查文本长度 > 1000 字 → 选择模式三 /v1/flow-speech/episodes
音色已指定：chat-girl-105-cn（晓曼）
提交合成任务
轮询直到完成
下载音频保存到 ./article.mp3
输出摘要

Files

Just SKILL.md in skills/listenhub-tts of smallnest/goal-workflow.

Open the folder on GitHubat commit b06ab3c

Compare with similar skills

Listenhub Tts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Listenhub Tts compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Listenhub Tts this skillsmallnest/goal-workflow	291	—	~1.5k	Automated safety check: Notes	MIT	27 days ago
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo	129k	—	~2.1k	Automated safety check: Warn	MIT	today
HyperFrames Media Useheygen-com/hyperframes	60k	—	~2.4k	Automated safety check: Pass	Apache-2.0	today
Openspec OnboardSAP/e-mobility-charging-stations-simulator	227	25 repos	~3.5k	Automated safety check: Pass	MIT	today
Blog AudioAgriciDaniel/claude-blog	2.3k	1 repos	~2.2k	Automated safety check: Notes	MIT	yesterday
Musictadaspetra/loop	296	2 repos	~827	Automated safety check: Pass	MIT	8 days ago

Similar skills

MoneyPrinterTurbo Video Generator
harry0703/MoneyPrinterTurbo
Installs and runs MoneyPrinterTurbo to turn a topic or script into a finished short video with voice-over, subtitles, stock footage and music.
129k GitHub stars~2.1k tokensUpdated today
Media & CreativeAuto-check: warnings
HyperFrames Media Use
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
60k GitHub stars~2.4k tokensUpdated today
Media & CreativeAuto-check passed
Openspec Onboard
SAP/e-mobility-charging-stations-simulator
Official
Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.
227 GitHub starsUsed in 25 repos~3.5k tokens
Media & CreativeAuto-check passed
Blog Audio
AgriciDaniel/claude-blog
Generate audio narration of blog posts using Google Gemini TTS.
2.3k GitHub starsUsed in 1 repo~2.2k tokens
Media & CreativeAuto-check: notes
Music
tadaspetra/loop
Generate music using ElevenLabs Music API. An agent skill from tadaspetra/loop.
296 GitHub starsUsed in 2 repos~827 tokens
Media & CreativeAuto-check passed
Create News Video
hoquanghai/Auto-Create-Video
Tạo video tin tức ngắn 9:16 (~60s) từ URL bài báo hoặc file .txt tiếng Việt.
319 GitHub starsUsed in 1 repo~3.7k tokens
Media & CreativeAuto-check passed

Questions about Listenhub Tts

What does Listenhub Tts do?

使用 ListenHub API 将文本转换为语音（TTS）。支持三种模式：快速合成（/v1/tts）、多角色脚本（/v1/speech）、长文本流式合成（/v1/flow-speech/episodes）。. Listenhub Tts is an agent skill from smallnest/goal-workflow.

When should I use Listenhub Tts?

Listenhub Tts fits situations like: tasks that involve Text to speech and voice.

How do I install Listenhub Tts in Claude Code?

Run `npx skills add smallnest/goal-workflow --skill listenhub-tts -a claude-code`. Or copy the skill folder (skills/listenhub-tts in smallnest/goal-workflow) into .claude/skills/listenhub-tts in your project. Claude Code loads it when a task matches its description.

How do I install Listenhub Tts in Codex?

Run `npx skills add smallnest/goal-workflow --skill listenhub-tts -a codex`. Or copy the skill folder (skills/listenhub-tts in smallnest/goal-workflow) into .agents/skills/listenhub-tts in your project. Codex loads it when a task matches its description.

Can I use Listenhub Tts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add smallnest/goal-workflow --skill listenhub-tts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/listenhub-tts, .gemini/skills/listenhub-tts, .github/skills/listenhub-tts and .opencode/skills/listenhub-tts in your project.

What does Listenhub Tts need to run?

Going by SKILL.md and its folder, Listenhub Tts needs the command-line tools its instructions call (curl) and credentials named LISTENHUB_API_KEY. Our summary lists: A credential in LISTENHUB_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, AskUserQuestion.

Does Listenhub Tts access the network?

SKILL.md names 1 domain. In commands or code: api.marswave.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Listenhub Tts safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Listenhub Tts use?

Listenhub Tts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Listenhub Tts use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Listenhub Tts?

Skills that share tags, products or a category with Listenhub Tts: MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 129k stars), HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Openspec Onboard (SAP/e-mobility-charging-stations-simulator, 227 stars) and Blog Audio (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Listenhub Tts?

smallnest (a GitHub user) maintains it in smallnest/goal-workflow, which has 291 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 13, 2026.

Source: smallnest/goal-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Listenhub Tts

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

ListenHub TTS: 文本转语音

API 信息

音色选择流程

用户已明确指定音色

用户未指定音色

默认音色

三种合成模式

模式一：快速合成（短文本，单音色）

模式二：多角色脚本合成

模式三：长文本流式合成

音色列表查询

模式选择逻辑

用户交互

音色选择

合成参数

输出

错误处理

完整示例

Files

Compare with similar skills

Similar skills

More from smallnest/goal-workflow

Related

Questions about Listenhub Tts