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Agent Skill · 开发

podcast(podcast 音频)

podcast 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

podcast 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 2,489。

总安装 16,776周安装 699GitHub Stars 49下载 5,592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
unknown

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:podcast(podcast 音频)
来源仓库:https://github.com/marswaveai/skills
仓库路径:skills/podcast
安装命令:
npx skills add https://github.com/marswaveai/skills --skill podcast
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/marswaveai/skills --skill podcast

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

podcast 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前建议确认权限范围和维护状态,避免触发联网或文件读写操作。podcast 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/podcast

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/marswaveai/skills --skill podcast;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

    它需要执行命令,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

podcast 怎么安装?

在终端执行 npx skills add https://github.com/marswaveai/skills --skill podcast。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

podcast 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

podcast 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/marswaveai/skills --skill podcast 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

podcast 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

podcast 用的人多吗?

公开数据是累计安装 16,776 次,近一周安装 699 次,下载 5,592 次,GitHub 49 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。

podcast 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
podcast

podcast 音频 · 本页

16,77649执行命令未明确通过

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

When to Use

  • User wants to create a podcast episode on any topic
  • User provides a URL or text and wants it turned into a podcast discussion
  • User asks for a "debate", "dialogue", or "discussion" format
  • User says "podcast", "播客", or "录一期节目"

When NOT to Use

  • User wants text-to-speech reading (use /speech)
  • User wants an explainer video with visuals (use /explainer)
  • User wants to generate an image (use /image-gen)
  • User only wants to extract content from a URL without generating audio (use /content-parser)

Purpose

Generate podcast episodes with 1-2 AI speakers discussing a topic. Supports quick overviews, deep analysis, and debate formats. Input can be a topic description, URL(s), or text. Output is a full audio episode with transcript.

Hard Constraints

  • Always check CLI auth following shared/cli-authentication.md
  • Follow shared/cli-patterns.md for command execution and error handling
  • Never hardcode speaker IDs in API calls — use built-in defaults from shared/speaker-selection.md as fallback only; fetch from the speakers API when the user wants to change voice
  • Never fabricate CLI commands or parameters
  • Always read config following shared/config-pattern.md before any interaction
  • Always follow shared/speaker-selection.md for speaker selection (text table + free-text input)
  • Never save files to ~/Downloads/ or .listenhub/ — save artifacts to the current working directory with friendly topic-based names (see shared/config-pattern.md § Artifact Naming)

Step -1: CLI Auth Check

Follow shared/cli-authentication.md § Auth Check. If the CLI is not installed or the user is not logged in, auto-install and auto-login — never ask the user to run commands manually.

Step 0: Config Setup

Follow shared/config-pattern.md Step 0 (Zero-Question Boot).

If file doesn't exist — silently create with defaults and proceed:

mkdir -p ".listenhub/podcast"
echo '{"outputMode":"inline","language":null,"defaultMode":"quick","defaultSpeakers":{}}' > ".listenhub/podcast/config.json"
CONFIG_PATH=".listenhub/podcast/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Do NOT ask any setup questions. Proceed directly to the Interaction Flow.

If file exists — read config silently and proceed:

CONFIG_PATH=".listenhub/podcast/config.json"
[ ! -f "$CONFIG_PATH" ] && CONFIG_PATH="$HOME/.listenhub/podcast/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Setup Flow (user-initiated reconfigure only)

Only run when the user explicitly asks to reconfigure. Display current settings:

当前配置 (podcast):
  输出方式:{inline / download / both}
  语言偏好:{zh / en / 未设置}
  默认模式:{quick / deep / debate / 未设置}
  默认主播:{speakerName(s) / 使用内置默认}

Then ask these questions in order and save:

  1. outputMode: Follow shared/output-mode.md § Setup Flow Question.
  2. Language (optional): "默认语言?"

- "中文 (zh)" - "English (en)" - "每次手动选择" → keep null

  1. Mode (optional): "默认播客模式?"

- "Quick — 简短概述" - "Deep — 深度分析" - "Debate — 辩论对话" - "每次手动选择" → keep null

After collecting answers, save immediately:

NEW_CONFIG=$(echo "$CONFIG" | jq --arg m "$OUTPUT_MODE" '. + {"outputMode": $m}')
# Save language if user chose one (not "每次手动选择")
if [ "$LANGUAGE" != "null" ]; then
  NEW_CONFIG=$(echo "$NEW_CONFIG" | jq --arg lang "$LANGUAGE" '. + {"language": $lang}')
fi
# Save mode if user chose one
if [ "$MODE" != "null" ]; then
  NEW_CONFIG=$(echo "$NEW_CONFIG" | jq --arg mode "$MODE" '. + {"defaultMode": $mode}')
fi
echo "$NEW_CONFIG" > "$CONFIG_PATH"
CONFIG=$(cat "$CONFIG_PATH")

Interaction Flow

Step 1: Topic + Reference Materials

Ask topic and optional reference materials together in a single question using AskUserQuestion with two sub-questions, or a single free-text prompt:

What topic would you like to turn into a podcast? If you have reference materials (URLs or text), include them here too.

Accept: topic description, URL(s), pasted text, or any combination.

Examples of valid input:

Step 2: Mode

Default: "quick" — skip this question unless:

  • config.defaultMode is set to something else → use that value silently
  • User explicitly mentioned a mode keyword in Step 1 (e.g. "deep dive", "debate", "in depth") → infer mode from intent

Only ask this question if the user's intent is ambiguous AND no default is configured. In most cases, just use "quick".

Step 3: Language

Default: match the user's interaction language. Detect from the language the user used in Step 1:

  • If the user wrote in Chinese → zh
  • If the user wrote in English → en
  • If config.language is set → use that value

Never ask this question. Always infer silently. Show in the confirmation summary so the user can override if needed.

Step 4: Speaker Count

Default: 2 speakers (dialogue) — the most common and engaging format.

Skip this question. Debate mode requires 2 speakers. For quick/deep, default to 2 speakers as well.

Only use 1 speaker if the user explicitly requests a monologue or solo format.

Step 5: Speaker Selection

Follow shared/speaker-selection.md:

  • If config.defaultSpeakers.{language} is set → use saved speakers silently
  • If not set → use built-in defaults from shared/speaker-selection.md (no question asked)
  • Show the speaker(s) in the confirmation summary — user can change from there if desired
  • Only show the full speaker list if the user explicitly asks to change voices

For 2-speaker mode (dialogue/debate): use Primary + Secondary defaults for the language.

Step 6: Confirm & Generate

Summarize all choices:

Ready to generate podcast:

  Topic: {topic}
  Mode: {mode}
  Language: {language}
  Speakers: {speaker name(s)}
  References: {yes/no + brief description}

  Proceed?

Wait for explicit confirmation before calling any CLI command. The user can adjust any parameter here before confirming.

Workflow

Generation

  1. Submit (background): Run the CLI command with run_in_background: true and timeout: 360000: listenhub podcast create \ --query "{topic}" \ --source-url "{url}" \ --source-text "{text}" \ --mode {quick|deep|debate} \ --lang {en|zh|ja} \ --speaker "{name}" \ --speaker "{name2}" \ --json Flag notes: The CLI handles polling internally and returns the final result when generation completes.

- --query — the topic or question to discuss - --source-url — repeatable, one per URL reference - --source-text — repeatable, one per text block reference - --mode — one of quick, deep, debate - --lang — language code - --speaker — repeatable (max 2); use speaker display names - --speaker-id — alternative to --speaker; use speaker IDs instead of names - Omit --source-url / --source-text if the user provided no references

  1. Tell the user the task is submitted and that they will be notified when it finishes.
  2. When notified of completion, Present result: Parse the CLI JSON output to extract fields: audioUrl, subtitlesUrl, audioDuration, credits. Read OUTPUT_MODE from config. Follow shared/output-mode.md for behavior. inline or both: Display audioUrl as a clickable link. Present: 播客已生成! 在线收听:{audioUrl} 字幕:{subtitlesUrl}(如有) 时长:{audioDuration / 1000}s 消耗积分:{credits} download or both: Also download the file. Generate a topic slug following shared/config-pattern.md § Artifact Naming. SLUG="{topic-slug}" # e.g. "ai-developments" NAME="${SLUG}-podcast.mp3" # Dedup: if file exists, append -2, -3, etc. BASE="${NAME%.*}"; EXT="${NAME##*.}"; i=2 while [-e "$NAME"]; do NAME="${BASE}-${i}.${EXT}"; i=$((i+1)); done curl -sS -o "$NAME" "{audioUrl}" Present: 已保存到当前目录: {NAME}
  3. Offer to show transcript or provide download URL on request

After Successful Generation

Update config with the choices made this session:

NEW_CONFIG=$(echo "$CONFIG" | jq \
  --arg lang "{language}" \
  --arg mode "{mode}" \
  --argjson speakers '{"{language}": ["{speakerId}"]}' \
  '. + {"language": $lang, "defaultMode": $mode, "defaultSpeakers": (.defaultSpeakers + $speakers)}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"

API Reference

  • Speaker list: shared/cli-speakers.md
  • Speaker selection guide: shared/speaker-selection.md
  • CLI patterns: shared/cli-patterns.md
  • CLI authentication: shared/cli-authentication.md
  • Config pattern: shared/config-pattern.md

Composability

  • Invokes: speakers API (for speaker selection)
  • Invoked by: content-planner (Phase 3)

Example

User: "Make a podcast about the latest AI developments"

Agent workflow:

  1. Detect: podcast request, topic = "latest AI developments", no references
  2. Infer: mode = "quick" (default), language = "en" (user wrote in English), 2 speakers (default)
  3. Show confirmation summary → user confirms
listenhub podcast create \
  --query "The latest AI developments" \
  --mode deep \
  --lang en \
  --speaker "Mars" \
  --speaker "Mia" \
  --json

Wait for CLI to return result, then present with title and listen link.

平台分布

Codex

34.34%
按下载量换算1,920

Claude

32.7%
按下载量换算1,829

Cursor

17.36%
按下载量换算971

Gemini CLI

9.67%
按下载量换算541

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/marswaveai/skills --skill podcast 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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