Podcast

marswaveai/skills/podcast

作者 marswaveai0dd6cecda529无许可证78 个星标收录于 2026年10月9日更新于 2026年10月9日仓库2周前更新

Create podcasts from topics, URLs, or text. Triggers on: "做播客", "podcast", "播客", "录一期节目", "chat about", "discuss", "debate", "dialogue", "make a podcast about".

仅含说明Design & Creative
AI 生成的概览

使用 listenhub CLI 将主题、网址或文本生成由 AI 主播讲述的播客节目。

功能
该技能可将主题、参考网址或粘贴的文本转化为由一到两位 AI 主播讲述的播客节目,支持快速概述、深度分析和辩论三种形式。它通过引导式提问收集参数,经 listenhub CLI 提交生成请求,并返回音频节目及文字稿。根据配置,它会展示收听链接或将音频文件下载到当前工作目录。
适用场景
当用户希望围绕某个主题制作一期播客,或想把网址、文本变成一段对话式音频时使用。也适用于要求 AI 主播以辩论、对话或讨论形式呈现内容的场景。
运行要求
需要 listenhub CLI 可执行文件(技能会在需要时自动安装并登录),以及用于生成内容的网络访问。它依赖若干共享参考文件处理认证、CLI 调用方式、配置和主播选择,并在 .listenhub/podcast 下保存配置文件。技能本身不附带脚本。

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)

<HARD-GATE>

Use the AskUserQuestion tool for every multiple-choice step — do NOT print options as plain text. Ask one question at a time. Wait for the user's answer before proceeding to the next step. After all parameters are collected, summarize the choices and ask the user to confirm. Do NOT call any generation API until the user has explicitly confirmed.

</HARD-GATE>

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.

Then follow shared/cli-authentication.md § Auth Mode Detection to determine AUTH_MODE and set:

bash
if [ "$AUTH_MODE" = "openapi" ]; then  CMD_PREFIX="listenhub openapi podcast"else  CMD_PREFIX="listenhub podcast"fi

All subsequent CLI calls use $CMD_PREFIX instead of hardcoded listenhub podcast.

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:

bash
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:

bash
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
  3. 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:

bash
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": $lang}')fi# Save mode if user chose oneif [ "$MODE" != "null" ]; then  NEW_CONFIG=$(echo "$NEW_CONFIG" | jq --arg mode "$MODE" '. + {"defaultMode": $mode}')fiecho "$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 5.5: Generation Speed

Default: 1.0x (original speed). Never ask this question.

Only set a speed when the user explicitly asks for one — "慢一点"、"快一点"、"1.25 倍速"、 "read it faster"、"slow it down". Otherwise omit --speed entirely so the request keeps its historical behaviour.

  • Range: any value from 0.5 to 2.0, at most two decimals — it is a continuous range, not a fixed set of steps.
  • Common values: 0.5, 0.75, 1 (default), 1.25, 1.5, 2. Values in between such as 0.85 or 1.35 are equally valid.
  • Meaning: the speaking rate of the generated audio, not a player playback rate. All speakers in one episode share the same task-level speed.
  • Map vague wording conservatively: "慢一点" → 0.85, "快一点" → 1.25, "慢很多" → 0.5, "快很多" → 1.75. When the user names a number, pass that number through unchanged.

Show the speed in the confirmation summary only when it is not 1.

Step 6: Confirm & Generate

Summarize all choices:

Ready to generate podcast:
  Topic: {topic}  Mode: {mode}  Language: {language}  Speakers: {speaker name(s)}  Speed: {speed}x        # omit this line when speed is 1  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:

    bash
    $CMD_PREFIX create \  --query "{topic}" \  --source-url "{url}" \  --source-text "{text}" \  --mode {quick|deep|debate} \  --lang {en|zh|ja} \  --speaker "{name}" \  --speaker "{name2}" \  --speed {0.5-2.0} \  --json

    Flag notes:

    • --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
    • --speed — generation speed multiplier 0.5–2.0 (max two decimals, default 1); omit it unless the user asked for a different speed
    • Omit --source-url / --source-text if the user provided no references

    The CLI handles polling internally and returns the final result when generation completes.

  2. Tell the user the task is submitted and that they will be notified when it finishes.

  3. 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.

    bash
    SLUG="{topic-slug}"  # e.g. "ai-developments"NAME="${SLUG}-podcast.mp3"# Dedup: if file exists, append -2, -3, etc.BASE="${NAME%.*}"; EXT="${NAME##*.}"; i=2while [ -e "$NAME" ]; do NAME="${BASE}-${i}.${EXT}"; i=$((i+1)); donecurl -sS -o "$NAME" "{audioUrl}"

    Present:

    已保存到当前目录:  {NAME}
  4. Offer to show transcript or provide download URL on request

After Successful Generation

Update config with the choices made this session:

bash
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
bash
$CMD_PREFIX 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.

来源与署名

来源:marswaveai/skills位于podcast提交0dd6cec

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架