Blog Audio

作者 agricidaniel2500d4c76503MIT2.3K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库昨天更新

Generate audio narration of blog posts using Google Gemini TTS. Supports summary narration, full article read-aloud, and two-speaker podcast/dialogue mode with 30 voice options. Outputs MP3 with HTML5 audio embed code. Works standalone via /blog audio or internally from blog-write. Falls back gracefully when API key is not configured. Use when user says "blog audio", "narrate blog", "audio version", "text to speech", "tts", "podcast mode", "read aloud", "audio narration", "voice", "narration", "generate audio".

AI 生成的概览

使用 Google Gemini TTS 为博客文章生成 MP3 语音旁白,支持摘要、全文朗读和双人对话模式。

功能
该技能使用 Google Gemini 文本转语音将博客内容转为语音。它按三种模式准备文本:200-300 字摘要、全文朗读,或双人播客式对话,然后生成 MP3 文件,并附时长、预估费用和可直接粘贴的 HTML5 音频嵌入代码。它还可列出可用音色并帮助配置 API 密钥。
适用场景
当博客文章需要音频版本、旁白、朗读、文本转语音或播客式对话时使用。它可被直接调用,也可从博客写作流程中调用;未配置 API 密钥时会静默跳过音频。
运行要求
需要 Python 3.11+ 及自动管理的虚拟环境、GOOGLE_AI_API_KEY 环境变量,以及访问 Gemini TTS API 的网络连接。MP3 转换需要 FFmpeg,缺失时回退为 WAV。该技能仅为说明文档,不附带脚本,但会引用 run.py 和 generate_audio.py。

Blog Audio: Gemini TTS Narration for Blog Posts

Generate professional audio narration of blog content using Google's Gemini TTS. Three modes: summary (200-300 word spoken overview), full article read-aloud, or two-speaker podcast dialogue. 30 voices, 80+ languages, HTML5 embed output.

Quick Reference

CommandWhat it does
/blog audio generate <file>Generate audio narration of a blog post
/blog audio voicesShow available voices with characteristics
/blog audio setupCheck/configure API key for Gemini TTS

Prerequisites

  • Python 3.11+ (venv managed automatically by run.py)
  • GOOGLE_AI_API_KEY environment variable (same key used by blog-image)
  • FFmpeg (for WAV-to-MP3 conversion; falls back to WAV if missing)

Always Use run.py Wrapper

bash
# CORRECT:python3 scripts/run.py generate_audio.py --text "..." --voice Charon --json
# WRONG:python3 scripts/generate_audio.py --text "..."  # Fails without venv

API Key Check (Gate Pattern)

Before generating audio, check for the API key:

bash
test -n "${GOOGLE_AI_API_KEY:-}" && echo "GOOGLE_AI_API_KEY is set" || echo "GOOGLE_AI_API_KEY is not set"
  • If set: proceed with generation
  • If not set: guide the user: "Audio generation requires a Google AI API key. Get one free at https://aistudio.google.com/apikey Then set it: export GOOGLE_AI_API_KEY=your-key This can be the same key used by /blog image, but it must be exported in the shell."
  • When called internally (from blog-write): return silently if key is missing. Never block the writing workflow.

Setup

For /blog audio setup:

  1. Check if GOOGLE_AI_API_KEY is set in environment
  2. If blog-image uses project .mcp.json, confirm the referenced env var is exported
  3. If not, guide user to https://aistudio.google.com/apikey
  4. Verify with a dry run: python3 scripts/run.py generate_audio.py --text "Test" --dry-run --json

Voice Selection

For /blog audio voices:

Load references/voices.md and present the voice catalog to the user.

Ask the user which voice they prefer, or recommend based on content type:

  • Article narration: Charon (Informative) or Sadaltager (Knowledgeable)
  • Tutorial/how-to: Achird (Friendly) or Sulafat (Warm)
  • News/analysis: Rasalgethi (Informative) or Schedar (Even)
  • Lifestyle/wellness: Aoede (Breezy) or Vindemiatrix (Gentle)
  • Dialogue host: Puck (Upbeat) or Laomedeia (Upbeat)
  • Dialogue expert: Kore (Firm) or Charon (Informative)

Generation Workflow

For /blog audio generate <file>:

Step 1: Read the Blog Post

Read the file and extract:

  • Title (from H1 or frontmatter)
  • Full content (markdown body)
  • Approximate word count

Step 2: Choose Mode

Ask the user (or auto-select if they specified --mode):

ModeWhen to useOutput
SummaryQuick audio overview (1-2 min)200-300 word spoken summary
FullComplete read-aloud (5-15 min)Full article as natural speech
DialoguePodcast-style (3-8 min)Two-person conversation about the article

Step 3: Prepare Text

CRITICAL: Claude prepares the text. The script does TTS only.

Summary mode: Write a 200-300 word spoken summary of the article. Rules:

  • Write as natural speech, not written text
  • Open with the article's key finding or answer
  • Cover 3-5 main takeaways
  • Close with actionable advice
  • No markdown, no "In this article...", no meta-commentary
  • Use conversational transitions ("Here's what matters...", "The key finding is...")

Full mode: Strip the markdown content to clean spoken text:

  • Headings become natural transitions ("Next, let's look at...")
  • Links become plain text (remove URLs, keep anchor text)
  • Images and charts: omit or briefly describe ("As the data shows...")
  • Code blocks: describe verbally ("The code uses a for-loop to...")
  • Lists: convert to natural sentences
  • Remove frontmatter, schema markup, HTML tags
  • Add brief intro: "This is [title], published on [date]."

Dialogue mode: Write a 2-person conversation script about the article:

  • Speaker1 = Host (curious, asks good questions)
  • Speaker2 = Expert (knowledgeable, gives clear answers)
  • Format each line as: Speaker1: What's the key takeaway here?
  • Cover the article's main points conversationally
  • 15-25 exchanges (produces ~3-8 minutes)
  • Natural, not stilted ("That's a great point" over "Indeed, as the research indicates")

Step 4: Select Voice

If the user chose a voice, use it. Otherwise, recommend based on mode:

  • Summary/Full: default to Charon (Informative)
  • Dialogue: default to Puck (Host) + Kore (Expert)

Step 5: Generate Audio

Write the prepared text to a temp file, then call:

bash
# Single voice (summary or full mode)python3 scripts/run.py generate_audio.py \  --text-file /tmp/blog_audio_prepared.txt \  --voice Charon \  --model flash \  --output /path/to/audio/post-slug.mp3 \  --json
# Two voices (dialogue mode)python3 scripts/run.py generate_audio.py \  --text-file /tmp/blog_audio_dialogue.txt \  --voice Puck \  --voice2 Kore \  --model pro \  --output /path/to/audio/post-slug-dialogue.mp3 \  --json

Model selection:

  • flash (default): maps to gemini-3.1-flash-tts, good for summaries and standard narration.
  • flash31: explicit alias for gemini-3.1-flash-tts.
  • legacy-flash25: retained only for older compatibility.
  • pro or legacy-pro25: maps to gemini-2.5-pro-preview-tts, use only when needed.

Step 6: Deliver

Present the result to the user:

  1. File path: where the audio was saved
  2. Duration: human-readable (e.g., "3:42")
  3. Embed code: ready-to-paste HTML5 audio tag
  4. Cost: estimated API cost
  5. Placement suggestion: where to insert the embed in the blog post

Embedding Guide

Standard HTML (Hugo, Jekyll, static sites)

html
<audio controls preload="metadata">  <source src="audio/post-slug.mp3" type="audio/mpeg">  Your browser does not support the audio element.</audio>

MDX (Next.js, Gatsby)

jsx
<audio controls preload="metadata">  <source src="/audio/post-slug.mp3" type="audio/mpeg" /></audio>

WordPress

[audio src="audio/post-slug.mp3"]

Placement

Insert the audio player after the introduction (below the first H2) or at the very top of the article with a label: "Listen to this article" or "Audio version".

Internal API (for blog-write)

When invoked internally from blog-write:

Input:

  • text: Prepared text (already cleaned by Claude)
  • voice: Voice name (default: Charon)
  • voice2: Second voice for dialogue (optional)
  • model: flash or pro
  • output_path: Where to save the file

Output:

markdown
### Audio Narration- **Path:** /path/to/audio/post-slug.mp3- **Duration:** 3:42- **Voice:** Charon- **Embed:** `<audio controls preload="metadata"><source src="audio/post-slug.mp3" type="audio/mpeg"></audio>`

Graceful fallback: If GOOGLE_AI_API_KEY is not set, return immediately with no error. The writing workflow continues without audio. Never block blog-write because audio generation is unavailable.

Error Handling

ErrorResolution
GOOGLE_AI_API_KEY not setGet key at https://aistudio.google.com/apikey
FFmpeg not foundInstall: sudo apt install ffmpeg. Falls back to WAV output.
Rate limitedWait and retry. Check limits at https://aistudio.google.com/rate-limit
Text too long (>8,192 input tokens)Split into sections around 7,800 tokens; the script chunks and stitches prepared text
Unknown voice nameRun /blog audio voices to see valid options
API errorCheck key validity and model availability
API key missing (internal call)Return silently: writing workflow continues

Reference Documentation

Load on-demand: do NOT load all at startup:

  • references/voices.md: Full 30-voice catalog, recommendations by content type, dialogue pairings

来源与署名

来源:agricidaniel/claude-blog位于brain/.raw/sources/claude-blog-skill/skills/blog-audio提交2500d4c

许可证: MIT

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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