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podcastpodcast 音频

Agent Skill

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。

总安装

16,776

周安装

699

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CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

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

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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