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How Podcast Generation fits into a Paperclip company.
Podcast Generation drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
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---name: podcast-generationdescription: Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.--- # Podcast Generation Skill ## Overview This skill generates high-quality podcast audio from text content. The workflow includes creating a structured JSON script (conversational dialogue) and executing audio generation through text-to-speech synthesis. ## Core Capabilities - Convert any text content (articles, reports, documentation) into podcast scripts- Generate natural two-host conversational dialogue (male and female hosts)- Synthesize speech audio using text-to-speech- Mix audio chunks into a final podcast MP3 file- Support both English and Chinese content ## Workflow ### Step 1: Understand Requirements When a user requests podcast generation, identify: - Source content: The text/article/report to convert into a podcast- Language: English or Chinese (based on content)- Output location: Where to save the generated podcast- You don't need to check the folder under `/mnt/user-data` ### Step 2: Create Structured Script JSON Generate a structured JSON script file in `/mnt/user-data/workspace/` with naming pattern: `{descriptive-name}-script.json` The JSON structure:```json{ "locale": "en", "lines": [ {"speaker": "male", "paragraph": "dialogue text"}, {"speaker": "female", "paragraph": "dialogue text"} ]}``` ### Step 3: Execute Generation Call the Python script:```bashpython /mnt/skills/public/podcast-generation/scripts/generate.py \ --script-file /mnt/user-data/workspace/script-file.json \ --output-file /mnt/user-data/outputs/generated-podcast.mp3 \ --transcript-file /mnt/user-data/outputs/generated-podcast-transcript.md``` Parameters: - `--script-file`: Absolute path to JSON script file (required)- `--output-file`: Absolute path to output MP3 file (required)- `--transcript-file`: Absolute path to output transcript markdown file (optional, but recommended) > [!IMPORTANT]> - Execute the script in one complete call. Do NOT split the workflow into separate steps.> - The script handles all TTS API calls and audio generation internally.> - Do NOT read the Python file, just call it with the parameters.> - Always include `--transcript-file` to generate a readable transcript for the user. ## Script JSON Format The script JSON file must follow this structure: ```json{ "title": "The History of Artificial Intelligence", "locale": "en", "lines": [ {"speaker": "male", "paragraph": "Hello Deer! Welcome back to another episode."}, {"speaker": "female", "paragraph": "Hey everyone! Today we have an exciting topic to discuss."}, {"speaker": "male", "paragraph": "That's right! We're going to talk about..."} ]}``` Fields:- `title`: Title of the podcast episode (optional, used as heading in transcript)- `locale`: Language code - "en" for English or "zh" for Chinese- `lines`: Array of dialogue lines - `speaker`: Either "male" or "female" - `paragraph`: The dialogue text for this speaker ## Script Writing Guidelines When creating the script JSON, follow these guidelines: ### Format Requirements- Only two hosts: male and female, alternating naturally- Target runtime: approximately 10 minutes of dialogue (around 40-60 lines)- Start with the male host saying a greeting that includes "Hello Deer" ### Tone & Style- Natural, conversational dialogue - like two friends chatting- Use casual expressions and conversational transitions- Avoid overly formal language or academic tone- Include reactions, follow-up questions, and natural interjections ### Content Guidelines- Frequent back-and-forth between hosts- Keep sentences short and easy to follow when spoken- Plain text only - no markdown formatting in the output- Translate technical concepts into accessible language- No mathematical formulas, code, or complex notation- Make content engaging and accessible for audio-only listeners- Exclude meta information like dates, author names, or document structure ## Podcast Generation Example User request: "Generate a podcast about the history of artificial intelligence" Step 1: Create script file `/mnt/user-data/workspace/ai-history-script.json`:```json{ "title": "The History of Artificial Intelligence", "locale": "en", "lines": [ {"speaker": "male", "paragraph": "Hello Deer! Welcome back to another fascinating episode. Today we're diving into something that's literally shaping our future - the history of artificial intelligence."}, {"speaker": "female", "paragraph": "Oh, I love this topic! You know, AI feels so modern, but it actually has roots going back over seventy years."}, {"speaker": "male", "paragraph": "Exactly! It all started back in the 1950s. The term artificial intelligence was actually coined by John McCarthy in 1956 at a famous conference at Dartmouth."}, {"speaker": "female", "paragraph": "Wait, so they were already thinking about machines that could think back then? That's incredible!"}, {"speaker": "male", "paragraph": "Right? The early pioneers were so optimistic. They thought we'd have human-level AI within a generation."}, {"speaker": "female", "paragraph": "But things didn't quite work out that way, did they?"}, {"speaker": "male", "paragraph": "No, not at all. The 1970s brought what's called the first AI winter..."} ]}``` Step 2: Execute generation:```bashpython /mnt/skills/public/podcast-generation/scripts/generate.py \ --script-file /mnt/user-data/workspace/ai-history-script.json \ --output-file /mnt/user-data/outputs/ai-history-podcast.mp3 \ --transcript-file /mnt/user-data/outputs/ai-history-transcript.md``` This will generate:- `ai-history-podcast.mp3`: The audio podcast file- `ai-history-transcript.md`: A readable markdown transcript of the podcast ## Specific Templates Read the following template file only when matching the user request. - [Tech Explainer](templates/tech-explainer.md) - For converting technical documentation and tutorials ## Output Format The generated podcast follows the "Hello Deer" format:- Two hosts: one male, one female- Natural conversational dialogue- Starts with "Hello Deer" greeting- Target duration: approximately 10 minutes- Alternating speakers for engaging flow ## Output Handling After generation: - Podcasts and transcripts are saved in `/mnt/user-data/outputs/`- Share both the podcast MP3 and transcript MD with user using `present_files` tool- Provide brief description of the generation result (topic, duration, hosts)- Offer to regenerate if adjustments needed ## Requirements The following environment variables must be set:- `VOLCENGINE_TTS_APPID`: Volcengine TTS application ID- `VOLCENGINE_TTS_ACCESS_TOKEN`: Volcengine TTS access token- `VOLCENGINE_TTS_CLUSTER`: Volcengine TTS cluster (optional, defaults to "volcano_tts") ## Notes - **Always execute the full pipeline in one call** - no need to test individual steps or worry about timeouts- The script JSON should match the content language (en or zh)- Technical content should be simplified for audio accessibility in the script- Complex notations (formulas, code) should be translated to plain language in the script- Long content may result in longer podcasts