Baseball Trend

This is the viral fake ESPN cutaway trend: you get a 15-second broadcast-style clip of yourself sitting behind home plate at a Yankees vs Red Sox ALCS game at Fenway Park, complete with scorebug, chyron with your name, and two announcers calling you out on air. It's a fixed recipe built on GPT-image-2 for the broadcast still and Kling v3-omni for the commentary clip, with the text burned into frame zero so the graphics don't flicker in mid-generation. You pass a name and one reference photo. The cost gate is clear: $30 to $55 per render, which is honest given the dual engine pipeline and one built-in retry budget. If you want custom voices or a different framing, this isn't it; the skill routes you to the Pika podcast path instead.

skills.sh installs: 1.7K
GitHub stars: 41
last updated: Aug 21, 2026

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Install

$ npx -y skills add pika-labs/pika-plugins --skill baseball-trend --agent claude-code

Installs into .claude/skills of the current project.

Files

baseball-trend

15-second ESPN-style broadcast cutaway of a user, sitting behind home plate at a fake Yankees vs Red Sox ALCS Game 3 game at Fenway Park, with two announcers naming them on air.

Fixed-recipe skill — the prompts below are calibrated. Substitute the username and keep the marked anchors intact.

Cost transparency gate

Before any paid MCP call, call identity_balance({verbose: true}) once. Surface the current balance, recent burn rate, and remaining runway, then gate the run with this exact message:

Estimated cost: about 3,000-5,500 credits (~$30-$55) for the GPT-image-2 broadcast still, one or two Kling v3-omni pro 15s renders (includes one Step 2 corrective retry with a changed payload), and post-flight analyze_media QA. This exceeds $5, so Reply proceed to continue or cancel to stop.

Do not call any paid MCP tool until the user replies proceed. If the user replies cancel, stop without generating. This is the only yes/no gate; after proceed, the pipeline runs end-to-end.