An AI-driven photography mentor that analyzes images to provide technical shooting parameters, composition advice, and post-processing guidance.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install photo-guide-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install photo-guide-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Photo Guide AI Skill?
Photo Guide is a sophisticated technical module for AI agents, designed to bridge the gap between inspiration and execution in photography. By leveraging this tool within the Openclaw Skills ecosystem, developers and enthusiasts can transform any image into a detailed learning opportunity. The skill focuses on reverse-engineering the visual characteristics of a photograph to provide actionable insights for beginners and intermediate photographers alike.
This skill synthesizes technical metadata with advanced visual reasoning to explain the 'how' and 'why' behind a shot. Whether you are dealing with professional DSLR files or compressed social media screenshots, the tool provides a structured framework for understanding aperture, shutter speed, and lighting dynamics. It is a perfect example of how Openclaw Skills can provide localized, high-value technical assistance without requiring external API dependencies.
Photo Guide AI Skill Use Cases
- Analyzing professional portfolios to learn specific technical settings like depth of field and motion blur.
- Generating color grading and post-processing recipes based on the visual style of a reference image.
- Getting equipment recommendations and lighting setups for specific genres like portraiture or night photography.
- Converting complex camera techniques into simplified instructions for mobile photography users.
How Photo Guide AI Skill Works
- The AI agent detects an uploaded image and verifies the local Python environment, installing dependencies via pip if necessary.
- A specialized script attempts to extract EXIF metadata to retrieve authentic hardware parameters like ISO and focal length.
- If metadata is missing, the skill initiates a five-dimension visual analysis covering depth of field, motion, lighting, color, and composition.
- The analyzed data is cross-referenced with internal photography basics and style templates to ensure technical accuracy.
- The skill generates a comprehensive Markdown report including a parameter inference table, shooting tips, and post-processing suggestions.
Photo Guide AI Skill Setup
To deploy this functionality within your environment, ensure you have Python 3.10+ installed. Follow these steps to integrate this into your Openclaw Skills workflow:
# Navigate to the skill directory
cd photo-guide
# Install the necessary image processing libraries
pip install -r requirements.txt
# The skill is now ready to process images via the extract_exif.py script
Photo Guide AI Skill Data Schema & Taxonomy
The skill organizes its logic and reference data into a structured directory for efficient retrieval and analysis:
| Component | Path | Function |
|---|---|---|
| EXIF Script | scripts/extract_exif.py |
Local Python utility to parse image headers. |
| Basics Reference | references/photography-basics.md |
Lookup table for standard aperture and shutter ranges. |
| Style Library | references/style-templates.md |
Definitions for specific photography genres and moods. |
| Post-Processing | references/post-processing-guide.md |
Guidelines for exposure, contrast, and color adjustments. |
Photo Guide AI Skill Advanced Features
- Hybrid Metadata Extraction: Automatically switches between authentic EXIF reading and AI-based visual inference.
- Five-Dimension Reasoning: Analyzes depth, motion, lighting, color, and composition for a 360-degree technical breakdown.
- Contextual Gear Recommendations: Suggests specific props like ND filters, CPL polarizers, or tripods based on the scene's requirements.
- Mobile Adaptation Logic: Provides alternative instructions specifically tailored for the hardware limitations of smartphones.
- Multi-agent Compatibility: Can be called as a sub-routine by other Openclaw Skills to provide visual context for broader creative workflows.
SKILL.md
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