Automated summary
Generates images in Peter Lindbergh's iconic black and white style, emphasizing raw natural beauty and emotional depth.
Strengths
- Faithful emulation of Lindbergh's raw and emotional style
- Detailed prompt construction guidance for consistent results
- Concrete examples for various portrait scenarios
- Includes tips on lighting, emotion, and composition
Limitations
- Requires external fal.ai API key
- Results may vary despite precise prompts
- Style limited to black and white and intimate portraits
Use this skill when you need black and white portraits with an authentic, raw, and emotionally charged aesthetic inspired by Peter Lindbergh.
Do not use it when you need color images, highly retouched looks, or when you do not have access to the fal.ai API.
Security analysis
SafeThe skill provides legitimate instructions for generating images using the fal.ai API. It requires user-supplied credentials, but doesn't instruct exfiltration, destructive actions, or obfuscated payloads. Bash is used only to run a documented Python script for image generation.
No concerns found
How this analysis is madeExamples
woman with strong bone structure, direct gaze at camera, in the style of Peter Lindbergh, black and white photography, natural daylight, minimal makeup, raw authentic beauty, high contrast with rich shadows, film grain texture, intimate close-up portrait, soulful and introspectivemodel in simple white shirt, wind in hair, beach setting, in the style of Peter Lindbergh, black and white photography, overcast natural light, unretouched skin texture, documentary fashion photography, emotional vulnerability, cinematic composition, timeless eleganceolder man with weathered face, life experience in eyes, in the style of Peter Lindbergh, black and white photography, window light, every wrinkle celebrated, raw authentic portrait, high contrast dramatic shadows, soulful depth, humanistic photography, unretouched character studyname: photographer-lindbergh description: Generate images in Peter Lindbergh's iconic black and white style. Use when users ask for Lindbergh style, raw authentic beauty, emotional B&W portraits, supermodel aesthetic, or unretouched natural photography. allowed-tools: Bash, Read, Write license: MIT compatibility: Requires credentials.json or FAL_KEY environment variable (fal.ai API key). Claude.ai users provide credentials via credentials.json.
Peter Lindbergh Style Photography
Generate images in the iconic style of Peter Lindbergh - raw, authentic black and white photography that celebrates natural beauty and emotional depth.
See references/fal-api.md for setup, Python patterns, and error handling.
Style Characteristics
Peter Lindbergh revolutionized fashion photography by:
- Raw authentic beauty - minimal retouching, natural imperfections celebrated
- High-contrast black and white - deep blacks, rich mid-tones, heavy film grain
- Natural/subtractive lighting - soft, directional light that sculpts faces
- Emotional depth - focus on personality and inner character over glamour
- Timeless elegance - avoids trends, captures enduring beauty
API Endpoint
fal-ai/gemini-3-pro-image-preview
Prompt Construction
Core Style Elements
Always include these elements for authentic Lindbergh style:
in the style of Peter Lindbergh, black and white photography,
natural light, minimal makeup, raw authentic beauty, high contrast,
film grain texture, intimate portrait, emotional depth, unretouched skin
Mood Keywords
| Category | Keywords |
|----------|----------|
| Emotion | introspective, soulful, intimate, vulnerable |
| Aesthetic | raw, unretouched, authentic, natural |
| Technical | high contrast, film grain, black and white |
| Style | cinematic, timeless, verite, documentary |
CLI Script
python3 scripts/fal_generate.py \
--endpoint image \
--prompt "woman with freckles, in the style of Peter Lindbergh, black and white, natural light, raw authentic beauty, high contrast, film grain, intimate portrait" \
--aspect-ratio 3:4 \
--output lindbergh-portrait.png
Examples
1. Classic Supermodel Portrait
woman with strong bone structure, direct gaze at camera,
in the style of Peter Lindbergh, black and white photography,
natural daylight, minimal makeup, raw authentic beauty,
high contrast with rich shadows, film grain texture,
intimate close-up portrait, soulful and introspective
2. Emotional Editorial
model in simple white shirt, wind in hair, beach setting,
in the style of Peter Lindbergh, black and white photography,
overcast natural light, unretouched skin texture,
documentary fashion photography, emotional vulnerability,
cinematic composition, timeless elegance
3. Group Dynamic
three models in casual poses, genuine interaction,
in the style of Peter Lindbergh, black and white photography,
studio with natural light, authentic connection between subjects,
raw beauty without heavy makeup, film grain aesthetic,
candid moment captured, verite fashion photography
4. Character Study
older man with weathered face, life experience in eyes,
in the style of Peter Lindbergh, black and white photography,
window light, every wrinkle celebrated, raw authentic portrait,
high contrast dramatic shadows, soulful depth,
humanistic photography, unretouched character study
Tips for Best Results
- Embrace imperfection - Include terms like "unretouched", "natural skin texture", "authentic"
- Specify lighting - Use "natural light", "window light", "overcast", "subtractive lighting"
- Focus on emotion - Add "soulful", "introspective", "vulnerable", "genuine expression"
- Keep it simple - Lindbergh's style avoids elaborate styling; use "minimal makeup", "simple clothing"
- Add grain - Always include "film grain texture" or "analog film aesthetic"
- Use portrait ratios - 2:3, 3:4, or 4:5 work best for the classic Lindbergh look
- Web search grounding -
enable_web_search: Truelets Gemini look up Lindbergh's actual style for authentic results
Reference
Peter Lindbergh (1944-2019) was a German fashion photographer known for launching the supermodel era with his 1990 British Vogue cover featuring Naomi Campbell, Linda Evangelista, Tatjana Patitz, Christy Turlington, and Cindy Crawford. His work emphasized natural beauty and rejected heavy retouching.
Key Influences: Henri Cartier-Bresson, German Expressionist cinema Signature: Black and white, natural light, emotional authenticity
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/peter-lindbergh-style-photography-mma3jrxe/download' --output '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md.part' && mv '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md.part' '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Environment declared by the author: Requires credentials.json or FAL_KEY environment variable (fal.ai API key). Claude.ai users provide credentials via credentials.json.
Tools declared by the author (check availability in your agent): Bash, Read, Write
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md' && test -s '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/photographer-lindbergh' && cp -R '.skill-downloads/peter-lindbergh-style-photography-mma3jrxe' '.claude/skills/photographer-lindbergh'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/peter-lindbergh-style-photography-mma3jrxe'openskills read 'peter-lindbergh-style-photography-mma3jrxe'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/peter-lindbergh-style-photography-mma3jrxe/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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