gameday — скилл для Claude Code: 6 фото фаната на матче
Скилл превращает одно ваше фото в шесть снимков с трибуны в форме любимой команды. Нужен Pika MCP.
npx skills add Pika-Labs/Pika-Plugins --skill gameday -a claude-codeЧто делает gameday
Скилл берёт вашу фотографию и название команды, а отдаёт шесть отдельных вертикальных снимков, где вы стоите на стадионе в клубной форме и шарфе. Кадры идут по сценарию матчевого дня: подход к воротам стадиона, места перед свистком, смех с соседом на трибуне, момент гола с поднятыми руками, селфи в толпе и прогулка по фойе с флагом на плечах.
Внутри шесть готовых промптов. Каждый уходит отдельным вызовом generate_image_edit с одним и тем же исходным фото в параметре images, поэтому лицо остаётся узнаваемым от кадра к кадру. Настройки одинаковые для всех: provider: gpt-image-2, aspect_ratio: 3:4, quality: medium, output_format: png. Локальный файл сначала загружается через upload_asset и PUT на presigned_url, дальше в промпты идёт public_url.
Цвета формы скилл описывает словами, без гербов и логотипов. Если у команды сложный рисунок, лучше сразу задать его текстом: две основные краски плюс тип полос. Без Pika MCP вызовы генерации не пройдут, так что сначала подключите сервер.
Какие задачи решает
- сделать шесть снимков с матча из одной фотографии
- сохранить одно и то же лицо во всех кадрах серии
- собрать карусель для соцсетей в форме любимой команды
- получить вертикальные фото 3:4 без ручной обрезки
- описать клубные цвета текстом вместо логотипов
Примеры запросов агенту
- /gameday ~/photos/me.jpg Аргентина
- сделай меня суперфанатом Ливерпуля по этому фото
- поставь меня на игру, вот моя фотка и команда
Как установить gameday
1Через Skills CLI (Vercel)
npx skills add Pika-Labs/Pika-Plugins --skill gameday -a claude-code2Вручную: положить файлы
~/.claude/skills/gameday/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/gameday/
1Через Skills CLI (Vercel)
npx skills add Pika-Labs/Pika-Plugins --skill gameday -a codex2Вручную: положить файлы
.agents/skills/gameday/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add Pika-Labs/Pika-Plugins --skill gameday -a cursor2Вручную: положить файлы
.cursor/skills/gameday/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install Pika-Labs/Pika-Plugins gameday2Вручную: положить файлы
.github/skills/gameday/SKILL.md1Через Skills CLI (Vercel)
npx skills add Pika-Labs/Pika-Plugins --skill gameday -a gemini-cli2Командой платформы
gemini skills install https://github.com/Pika-Labs/Pika-Plugins --path skills/gamedayВручную: положить файлы
.devin/skills/gameday/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add Pika-Labs/Pika-Plugins --skill gameday -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о gameday
Как установить gameday в Claude?
Выполните npx skills add Pika-Labs/Pika-Plugins --skill gameday -a claude-code. Скилл встанет в ~/.claude/skills/gameday/SKILL.md.
Что делает gameday?
По одному фото и названию команды генерирует шесть отдельных снимков, где вы болеете на стадионе в клубной форме. Кадры складываются в карусель матчевого дня.
Что нужно для работы скилла?
Подключённый Pika MCP и фото — локальный путь или ссылка. Локальный файл скилл сам загружает и подставляет в промпты.
Исходный текст
SKILL.md · Apache-2.0
---
name: gameday
description: >-
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.
argument-hint: <user-photo-path-or-url> <favorite-team>
---
# 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. 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.
```
© Pika-Labs · Apache-2.0 · Pika-Labs/Pika-Plugins