An expert-level AI skill for providing professional, editorial-grade feedback on photographic composition and post-processing quality.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install photo-edit-analysis
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-edit-analysis 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 Edit Analysis?
This skill empowers AI agents to perform deep-dive evaluations of photographic work, mimicking the workflow of a professional photo editor. By utilizing Openclaw Skills, the agent moves beyond simple image descriptions to provide critical analysis of framing, tonal balance, and color rendering. It is designed to provide honest, direct feedback that helps creators understand where their edits succeed and where they fall short.
The analysis focuses on both the structural elements of a photo, such as leading lines and visual balance, and the technical execution of the edit, including highlight clipping and grain consistency. Whether you are dealing with digital RAW files or film scans, these Openclaw Skills ensure the critique is grounded in professional standards rather than generic observations.
Photo Edit Analysis Use Cases
- Requesting a direct critique of a photo's color grade and tonal range.
- Asking for feedback on image composition and subject placement.
- Determining if an edit is over-processed or if texture and clarity are naturally applied.
- Evaluating whether a film-style edit correctly reflects the characteristics of a specific film stock.
- Getting a final letter grade to benchmark editing progress.
How Photo Edit Analysis Works
- The user uploads a photograph and triggers the skill with a request for feedback or a specific question like "is this edited well?"
- The agent employs Openclaw Skills to scan the image for compositional markers such as the horizon line, negative space, and point of entry.
- The skill analyzes post-processing data points including white balance, shadow crush, and saturation levels.
- Feedback is generated in two distinct sections: Composition and Edit, highlighting both strengths and weaknesses.
- The agent concludes the report with a letter grade (A-D) and a single sentence defining the most important improvement to be made.
Photo Edit Analysis Setup
To deploy this analysis tool within your agentic workflow, add the photo-edit-analysis definition to your configuration. If you are using a CLI-based management system for Openclaw Skills, use the following command:
openclaw register photo-edit-analysis
Ensure your agent has vision capabilities enabled to process the image data accurately.
Photo Edit Analysis Data Schema & Taxonomy
| Category | Metrics Analyzed |
|---|---|
| Composition | Framing, Rule of Thirds, Leading Lines, Horizon Level, Aspect Ratio |
| Editing | White Balance, Tonal Curve, Saturation, Clarity, Texture, Clipping |
| Film Logic | Stock Characteristics, Scan Artifacts vs. Editing Choices |
| Output | Sectioned Markdown Report (200-300 words), Letter Grade, Key Action Item |
Photo Edit Analysis Advanced Features
- Context-aware film stock analysis that recognizes intentional overexposure or stock-specific grain patterns.
- Professional editorial tone that avoids euphemisms and provides direct, actionable critique.
- Comprehensive assessment of light as a compositional element versus a technical exposure setting.
- High-density feedback loop designed to integrate into larger creative Openclaw Skills pipelines.
SKILL.md
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