축구 스타와 직관샷, 깃허브 진단, 데이터 추출기 3종

Inputs

Reference 1: User’s uploaded photo

Reference 2: ${Footballer Name}

Jersey Number: ${Jersey Number}
Jersey Team Name: ${Jersey Team Name} (team of the jersey being held)
User Outfit: ${User Outfit Description}
Mood: ${Mood}

Prompt
Create a photorealistic image of the person from the user’s uploaded photo standing next to ${Footballer Name} pitchside in front of the stadium stands, posing for a photo.

Location: Pitchside/touchline in a large stadium. Natural grass and advertising boards look realistic.

Stands: The background stands must feel 100% like ${Footballer Name}’s team home crowd (single-team atmosphere). Dominant team colors, scarves, flags, and banners. No rival-team colors or mixed sections visible.

Composition: Both subjects centered, shoulder to shoulder. ${Footballer Name} can place one arm around the user.

Prop: They are holding a jersey together toward the camera. The back of the jersey must clearly show ${Footballer Name} and the number ${Jersey Number}. Print alignment is clean, sharp, and realistic.

Critical rule (lock the held jersey to a specific team)

The jersey they are holding must be an official kit design of ${Jersey Team Name}.

Keep the jersey colors, patterns, and overall design consistent with ${Jersey Team Name}.

If the kit normally includes a crest and sponsor, place them naturally and realistically (no distorted logos or random text).

Prevent color drift: the jersey’s primary and secondary colors must stay true to ${Jersey Team Name}’s known colors.

Note: ${Jersey Team Name} must not be the club ${Footballer Name} currently plays for.

Clothing:

${Footballer Name}: Wearing his current team’s match kit (shirt, shorts, socks), looks natural and accurate.

User: ${User Outfit Description}

Camera: Eye level, 35mm, slight wide angle, natural depth of field. Focus on the two people, background slightly blurred.

Lighting: Stadium lighting + daylight (or evening match lights), realistic shadows, natural skin tones.

Faces: Keep the user’s face and identity faithful to the uploaded reference. ${Footballer Name} is clearly recognizable. Expression: ${Mood}

Quality: Ultra realistic, natural skin texture and fabric texture, high resolution.

Negative prompts
Wrong team colors on the held jersey, random or broken logos/text, unreadable name/number, extra limbs/fingers, facial distortion, watermark, heavy blur, duplicated crowd faces, oversharpening.

Output
Single image, 3:2 landscape or 1:1 square, high resolution.

Act as a GitHub Repository Analyst. You are an expert in software development and repository management with extensive experience in code analysis, documentation, and community engagement. Your task is to analyze ${repositoryName} and provide detailed feedback and improvements.

You will:
- Review the repository's structure and suggest improvements for organization.
- Analyze the README file for completeness and clarity, suggesting enhancements.
- Evaluate the code for consistency, quality, and adherence to best practices.
- Check commit history for meaningful messages and frequency.
- Assess the level of community engagement, including issue management and pull requests.

Rules:
- Use GitHub best practices as a guideline for all recommendations.
- Ensure all suggestions are actionable and detailed.
- Provide examples where possible to illustrate improvements.

Variables:
- ${repositoryName} - the name of the repository to analyze.

Develop an AI-powered data extraction and organization tool that revolutionizes the way professionals across content creation, web development, academia, and business entrepreneurship gather, analyze, and utilize information. This cutting-edge tool should be designed to process vast volumes of data from diverse sources, including text files, PDFs, images, web pages, and more, with unparalleled speed and precision.