gameday
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.
- Installs
- 727
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/pika-labs/pika-plugins --skill gameday- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads gameday automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
-
Get the two inputs. Photo (local path or URL) and favorite team. If the photo is a local path, upload it (
upload_asset→ PUT topresigned_url→ usepublic_url). Call the resulting URLphoto. -
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. -
Generate the 6 photos. Make 6 separate
generate_image_editcalls, one per prompt below, passing the samephotoasimageson 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. -
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. The
subject 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 on
match 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 confidently
toward a big modern stadium's entrance gates, golden late-afternoon sun flaring low behind the
stands, 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, slight
motion 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. The
subject 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, looking
thoughtfully 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. The
subject 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 beside
them, a joyful candid fan moment caught off-guard. A packed, colorful crowd in {kit colors} rises
behind them, banners and flags waving, lively pre-match energy. Bright stadium daylight, genuine
happy 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. The
subject 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 the
exact 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 pure
euphoria. All around them the crowd erupts, fans jumping and screaming in {kit colors}, streamers
and confetti in the floodlit air, electric chaotic energy. Dynamic candid framing, slight motion
blur 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. The
subject 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 behind
their shoulders, giving a big genuine smile straight to camera, cheek-to-cheek with the roaring
stands behind. Bright stadium floodlight bokeh and a blurred sea of fans in {kit colors} fill the
background, evening match atmosphere. Slight selfie wide-angle look, warm skin tones, realistic
smartphone photo, authentic and unposed.
p6 — Flag-draped on the concourse
Ultra-realistic candid lifestyle sports-fan photograph, single vertical phone photo, 3:4. The
subject 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 light
pours 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.
FAQ
What does the gameday skill do?
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.
How do I install gameday?
Run npx skills add https://github.com/pika-labs/pika-plugins --skill gameday in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gameday/ (personal) or .claude/skills/gameday/ (project).
Which AI agents can use gameday?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is gameday safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains gameday?
It is published by pika-labs in pika-labs/pika-plugins. It has 727 recorded installs.
More from pika-labs/pika-plugins
ugc-ads
pika-labs/pika-plugins
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]".
build-a-brand
pika-labs/pika-plugins
Use when the user asks for build a brand or a task matching the examples below. Build a practical brand identity from any input — an idea, an existing website, a list of reference brands, product photos, or "I want to rebrand X". Default to a fast quick-brand path for founder-kit users, and offer the full 14-16-page guidelines as an opt-in upgrade. Use when someone wants a brand identity but does NOT need a full commerce launch (no Shopify, no product listings, no social posting). Trigger phrases: "build me a brand", "make me a brand", "design a brand identity", "brand guidelines for [X]", "i want a brand book", "create a brand from scratch", "brand for [idea]", "i want a brand that feels like [X] + [Y]", "rebrand my [thing]", "visual identity for [thing]", "build-a-brand".
founder-product-video
pika-labs/pika-plugins
Use when the user asks for founder product video or a task matching the examples below. Generate a 65-second founder-style product video from a product URL + user-supplied imagery. Output is a 16:9 1080p MP4 — 4 × 15s SeeDance acts of a talking founder + 5s branded end card + background music. The user's actual product screenshots are composited onto product reveal shots after Seedance generation, so readable UI and brand text are real, not AI-imagined. Triggers — "founder video", "product video", "60s pitch video", "make a video of [founder] for [URL]", "talking founder explainer". Requires Pika MCP. Uses a supplied brand kit folder (brand.json or an exported build-a-brand kit with brand.md, tokens, logo assets); if no kit exists, run build-a-brand first.
app-sizzle
pika-labs/pika-plugins
Use when the user asks for app sizzle or a task matching the examples below. Generate cinematic 1080p iOS app teaser videos from real App Store screenshots, with a GPT-image-2 enhancement pass on each selected screen before generation. Output is a beat-driven cinematic teaser built from GPT-enhanced screenshots, ending with the brand logo/icon plus a deterministic COMING SOON overlay. Screens sourced from Pika MCP App Store fetch, a live website (auto-captured), user-supplied files, or URLs. Starts by sourcing real screens and brand assets before any generation. Triggers on: app sizzle, app teaser, app promo, iOS app promo video, app video, app product video, coming soon, seedance, motion graphics, make a promo for my app, make a video for [app], gpt enhance promo. NOT for: short-form consumer content like GRWM, vlogs, UGC, or non-app product ads (use content-video); app-sizzle is specifically for iOS app teaser videos sourced from App Store screens or real app UI.
app-store-screens
pika-labs/pika-plugins
Use when the user asks for app store screens or a task matching the examples below. Generate 5–6 App Store screenshots in a given brand's aesthetic from a brand.md, raw product screenshots, or a public App Store listing fetched through Pika MCP. Story-driven (hook → value → features → proof → close), splashy, on-brand. Outputs 1290×2796 PNGs ready to drop into App Store Connect. Use when someone wants App Store / store listing assets — including: "make me app store screenshots", "design app store screens for [brand]", "I have a brand.md and screenshots, generate store assets", "screenshot set for app launch", "iOS store screens", "app store creative", "store listing visuals", "splashy app store screens", "app-store-screens".
podcast
pika-labs/pika-plugins
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.
Popular media & creative skills
hyperframes
heygen-com/hyperframes
Read first to make, edit, animate or render any video with HyperFrames (HTML rendered to video), including launch films, explainers, music videos, charts, maps, vertical clips, title cards, captions and overlays. Holds the render contract, the work loop and what each kind of video needs.
media-use
heygen-com/hyperframes
Get or make any media for a HyperFrames video - music, sound effects, images, icons, logos, voiceover, avatar and generated video, transcripts, cutouts, colour grades and looks - with HeyGen or free local tools, and mix placed audio. Also for footage that looks dark, flat or dull, or should be stylized or hidden.
hyperframes-registry
heygen-com/hyperframes
About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.
hyperframes-creative
heygen-com/hyperframes
Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use hyperframes-animation.
ai-video-generation
101-skills/superpowers
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
ai-image-generation
101-skills/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image