script-writing

Generate the AI Talk Radio show script from research using the Interactions API.

Script Writing

Generate a naturalistic, multi-character radio show script directly via the LLM. The script features host Paul taking calls from people around the world, with advanced audio tags.

Embedded Script

python3 skills/script-writing/scripts/generate_script.py --workspace ./workspace --style debate

Arguments

Argument	Default	Description
`--workspace`	`workspace`	Root workspace directory
`--style`	`default`	Show format (see styles below)
`--context`	`""`	Additional tone/style notes inferred from user prompts (e.g., "emphasize the technical details", "make it sound like a late night show"). Applies to ALL styles. Keep brief. Do NOT use to specify stories/topics.

Styles

Style	Callers	Format	Use when user says...
`debate`	2 per topic, opposing views	Structured back-and-forth, Paul moderates	"opposing views", "debate", "both sides"
`roundtable`	3-4, different angles	Collaborative discussion, callers build on each other	"roundtable", "panel", "discussion"
`interview`	1-2 with direct experience	Q&A format, Paul asks probing questions	"interview", "deep dive", "expert"
`explainer`	2-3, each explains an aspect	Teach the audience, Paul asks clarifying questions	"explain", "break it down", "what is"
`default`	Same as `debate`	Default when no style specified	(anything else)

Examples

# HN discussion with opposing views, applying context
python3 skills/script-writing/scripts/generate_script.py \
  --workspace ./workspace --style debate --context "make it sound like a late night show"

# Panel discussion about a GitHub repo with context notes
python3 skills/script-writing/scripts/generate_script.py \
  --workspace ./workspace --style roundtable --context "emphasize the performance improvements"

# Interview with an expert about a paper
python3 skills/script-writing/scripts/generate_script.py \
  --workspace ./workspace --style interview

# Explain a new technology
python3 skills/script-writing/scripts/generate_script.py \
  --workspace ./workspace --style explainer

What it does

Reads all research from {workspace}/data/research/*.md.
Builds a system prompt with the base format rules + style-specific caller/structure instructions.
Calls Gemini via the Interactions API (client.interactions.create()).
Saves the script to {workspace}/data/script.md.

Dependencies

google-genai (>= 2.0.0)

Output

Script File: {workspace}/data/script.md
Format: Plain text, each line starting with Speaker: dialogue

Cast

Speaker	Role	Personality
Paul	Host	Professional but relatable British moderator
Callers	Call-ins	Amateur, rough, natural — from various cities around the world

Script Format Rules

Every line: SpeakerName: [audio tag] Dialogue text
Must include audio tags in square brackets (e.g., [sighs], [excitedly]).
Callers should sound amateurish (include "uh", "like", natural pauses).
Short punchy sentences — spoken word, not prose.
~450-500 words total (~3 minutes when spoken).