Gameday

pika-labs/pika-plugins/skills/gameday

by pika-labsf27b3ba28a7bNo license40 starsListed Oct 9, 2026Updated Oct 8, 2026Repository updated 2 months ago

Use when the user asks for gameday or a task matching the examples below. Put a fan into the game. The user uploads one photo of themselves and names their favorite team; generate a 6-photo matchday-superfan carousel — six separate images of that same person at the game in their team's kit. Triggers: "/gameday", "make me an [team] superfan", "put me at the game", "gameday carousel". Requires the Pika MCP.

Instructions onlyDesign & Creative
AI-generated overview

Generates a six-image matchday superfan carousel of a user's photo in their favorite team's kit.

What it does
Takes one uploaded photo of a person plus a favorite team name, derives team and kit colors, and issues six separate image-edit calls to place that same person at a stadium as a supporter. It produces six distinct vertical 3:4 PNG images in a fixed order, from stadium arrival to goal celebration and concourse. The face is kept consistent by passing the same reference photo on every call.
When to use it
Use when someone wants themselves depicted as a superfan at a match for a named team, or asks for a gameday carousel. It fits requests phrased as putting a fan into the game or making a team superfan image set.
Requirements
Requires the Pika MCP with image generation and asset upload tools, a user photo as a local path or URL, and a favorite team name. Network access is needed for asset upload and image generation. No scripts ship with the skill.

gameday

The user uploads one photo of themselves and gives their favorite team. You generate 6 separate photos of that person as a superfan at the game — a matchday carousel.

Steps

  1. Get the two inputs. Photo (local path or URL) and favorite team. If the photo is a local path, upload it (upload_asset → PUT to presigned_url → use public_url). Call the resulting URL photo.

  2. Fill the team. From the team name, fill {team} and {kit colors} (two main colors + stripe pattern, e.g. Argentina → "sky-blue and white vertical stripes"). Describe colors, not crests/logos.

  3. Generate the 6 photos. Make 6 separate generate_image_edit calls, one per prompt below, passing the same photo as images on every call (this keeps the face identical). Settings each call: provider: gpt-image-2, images: [photo], aspect_ratio: 3:4, quality: medium, output_format: png.

  4. Deliver the 6 separate images in order. Six files — never one image split into panels.

The 6 prompts (substitute {team} / {kit colors})

p1 — Arrival at the stadium

Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. Thesubject is the SAME person as the reference photo — preserve their exact face, hair, features,skin tone and vibe; natural candid expression. A passionate {team} football supporter arriving onmatch day, wearing an official {team} home jersey ({kit colors}) with a matching {kit colors}{team} supporter scarf looped around the neck, effortless game-day styling. They walk confidentlytoward a big modern stadium's entrance gates, golden late-afternoon sun flaring low behind thestands, long warm shadows. Streams of other fans in the same {kit colors} flow around them,flags and team colors everywhere, a buzzing pre-match crowd. Candid street-style framing, slightmotion in the step, shallow depth of field on the background, realistic smartphone photo look,authentic and unposed.

p2 — In the seats before kickoff

Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. Thesubject is the SAME person as the reference photo — preserve their exact face, hair, features,skin tone and vibe. A {team} supporter in an official {team} jersey ({kit colors}) and matching{team} scarf, sitting in the stadium seats before kickoff, leaning casually on the armrest, lookingthoughtfully out toward the green pitch. Behind them a massive blurred crowd fills the stands,a sea of {kit colors}, the floodlights and tiered stadium bowl rising up. Soft natural daylight,candid quiet-before-the-storm mood, gentle bokeh on the crowd, realistic smartphone photo look,authentic and unposed.

p3 — Laughing with a friend in the stands

Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. Thesubject is the SAME person as the reference photo — preserve their exact face, hair, features,skin tone and vibe. A {team} supporter in an official {team} jersey ({kit colors}) and matching{team} scarf, standing in the stands smiling and laughing mid-conversation with a friend besidethem, a joyful candid fan moment caught off-guard. A packed, colorful crowd in {kit colors} risesbehind them, banners and flags waving, lively pre-match energy. Bright stadium daylight, genuinehappy expression, slight candid blur, realistic smartphone photo look, authentic and unposed.

p4 — Goal celebration (hero shot)

Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. Thesubject is the SAME person as the reference photo — preserve their exact face, hair, features,skin tone and vibe. A {team} supporter in an official {team} jersey ({kit colors}) caught at theexact moment of a goal — standing in the stands cheering, both arms thrown high, the {kit colors}{team} scarf stretched wide overhead with both hands, mouth open in an ecstatic roar of pureeuphoria. All around them the crowd erupts, fans jumping and screaming in {kit colors}, streamersand confetti in the floodlit air, electric chaotic energy. Dynamic candid framing, slight motionblur from the celebration, high contrast stadium lights, realistic smartphone photo look,authentic and unposed.

p5 — Crowd selfie close-up

Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. Thesubject is the SAME person as the reference photo — preserve their exact face, hair, features,skin tone and vibe. A close-up selfie-style portrait of a {team} supporter in the packed crowd,wearing an official {team} jersey ({kit colors}) with the {kit colors} {team} scarf draped behindtheir shoulders, giving a big genuine smile straight to camera, cheek-to-cheek with the roaringstands behind. Bright stadium floodlight bokeh and a blurred sea of fans in {kit colors} fill thebackground, evening match atmosphere. Slight selfie wide-angle look, warm skin tones, realisticsmartphone photo, authentic and unposed.

p6 — Flag-draped on the concourse

Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. Thesubject is the SAME person as the reference photo — preserve their exact face, hair, features,skin tone and vibe. A {team} supporter walking along the open stadium concourse with a large{kit colors} {team} flag draped over their shoulders like a cape, wearing the official {team}jersey ({kit colors}) underneath, proud triumphant expression, chin up. Warm golden-hour lightpours through the concourse openings, lens flare, fellow fans in {kit colors} milling all around,the stadium structure framing them. Candid editorial street-style framing, cinematic warm tones,realistic smartphone photo look, authentic and unposed.

Source and attribution

Source:pika-labs/pika-pluginsinskills/gamedayat commitf27b3ba

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal

More from pika-labs/pika-plugins

Voxel It

pika-labs

Turns a photo into a Minecraft-style image, keeping people photoreal while voxelizing the object, background, or both.

Design & Creative40updated 2 months ago

Viral Hook

pika-labs

Prepends a short attention-grabbing hook and optional title to a user's video via a Pika MCP render call.

Design & Creative40updated 2 months ago

Vfx

pika-labs

Use when the user asks for vfx or a task matching the examples below. Turn a plain video clip into a cinematic AI-VFX shot at 1080p by default (or 4K / 720p on request). Give Claude a video and the change you want; it reads EVERY frame via local contact sheets and understands the audio, writes a Seedance-faithful prompt that locks your face, gestures, and camera move, then re-renders the same shot with the VFX baked in via Seedance reference-to-video.

Awaiting classification40updated 2 months ago

Ugc Ads

pika-labs

Use when the user asks for ugc ads or a task matching the examples below. Multi-cut jump-cut UGC product ad — HOOK + 3 JUMP CUTs + OUTRO, 15s, 9:16 vertical (3:4 optional, seedance only), POV first-person talking-head selfie, every beat has spoken dialogue with native lip-sync, 5-act narrative arc (set → name → reveal → twist → punchline). Six category essences (HAUL / APP / FOOD / BEAUTY / FITNESS / TECH) auto-picked from the input URL. Creator-style raw UGC talking-head with multi-beat conversational dialogue. Use when the user asks to "make a UGC ad", "jump-cut product ad", "POV product reveal", "creator-style ad", "haul-style ad", "unboxing ad", "TikTok-style product video", or "talking-head ad about [URL]".

Awaiting classification40updated 2 months ago

Stagefight

pika-labs

Generates a fan-filmed staged cosplay fight clip: a gpt-image-2 stage still, then a ~10s 16:9 image-to-video clash.

Design & Creative40updated 2 months ago

Podcast

pika-labs

Use when the user asks for podcast or a task matching the examples below. Two-host podcast video for any URL or free-form topic — 1 minute, 4 acts × ~15s, native multi-shot dialogue, optional voice cloning for Host A. Use when the user asks to "make a podcast", "podcast about [thing]", "podcast review of [url]", "two-host explainer", "interview-style clip", "two people talking on camera", "I/me and X talk about Y", or "interview with [persona] about [topic]". Native audio is the deliverable; captions are skipped by default because podcast dialogue mistranscribes domain terms.

Awaiting classification40updated 2 months ago