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Photo Cinematic Editor
by
Akira362680164
· GitHub ↗
· v1.0.0
· MIT-0
11
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0
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1
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Install in OpenClaw
/install photo-cinematic
Description
Professional photo processing and cinematic color grading powered by Pillow + NumPy. Use when a user asks to: (1) Edit, enhance, or retouch photos, (2) Apply...
README (SKILL.md)
Photo Cinematic Editor
Cinematic photo processing toolkit with Pillow + NumPy. Supports HEIC/JPEG/PNG input.
Quick Start
# All-in-one cinematic processing (dehaze → grade → light → sharpen)
python3 scripts/photo_editor.py input.jpg output.jpg
# Custom pipeline
python3 scripts/photo_editor.py input.jpg output.jpg dehaze grade saturation=1.3 light sharpen
Effects Reference
| Effect | Params | Description |
|---|---|---|
dehaze |
strength=1.0 | Local contrast dehazing + clarity |
grade |
strength=1.0 | Cinematic S-curve + teal/orange split tone + glow + vignette |
saturation |
saturation=1.0 | Simple saturation multiplier |
vibrance |
vibrance=1.0 | Smart saturation (boosts muted colors more) |
levels |
shadows=0 midtones=1.0 highlights=255 | Photoshop-style levels adjustment |
light |
strength=1.0 | Warm light streaks + highlight boost |
sharpen |
strength=1.0 | Unsharp mask sharpening |
blur |
strength=1.0 | Gaussian blur (radius in pixels) |
All params accept strength=N to control intensity.
Usage Examples
# Dehaze only
python3 scripts/photo_editor.py photo.jpg out.jpg dehaze
# Cinematic from scratch
python3 scripts/photo_editor.py photo.jpg out.jpg grade
# Vibrant cinematic
python3 scripts/photo_editor.py photo.jpg out.jpg dehaze grade saturation=1.2 light sharpen
# Soft natural look
python3 scripts/photo_editor.py photo.jpg out.jpg dehaze grade vibrance=0.85 light=0.6 sharpen
# Manual levels adjustment
python3 scripts/photo_editor.py photo.jpg out.jpg levels shadows=15 midtones=1.1 highlights=240 sharpen
Requirements
pip3 install Pillow numpy pillow-heif --break-system-packages
Scripts
scripts/photo_editor.py— Main editor with pipeline processingscripts/cinematic_grade.py— V1 classic cinematic gradingscripts/cinematic_v2.py— V2 with dehaze + light texture
References
See references/photo-editing-guide.md for technique explanations and advanced workflows.
Usage Guidance
This skill looks appropriate for local photo editing. Before installing, prefer a Python virtual environment for the required packages, and when running the scripts, provide explicit input and output image paths rather than relying on defaults in the auxiliary scripts.
Capability Analysis
Type: OpenClaw Skill
Name: photo-cinematic
Version: 1.0.0
The skill bundle provides a comprehensive toolkit for cinematic photo processing using Pillow and NumPy. The scripts (photo_editor.py, cinematic_grade.py, cinematic_v2.py) implement standard image processing algorithms such as S-curve contrast, teal/orange split toning, local contrast dehazing, and light texture overlays. The code is well-documented, lacks any network or sensitive file access, and contains no evidence of malicious intent or prompt injection. Hardcoded file paths in the script entry points appear to be environment-specific defaults for testing within the OpenClaw ecosystem.
Capability Assessment
Purpose & Capability
The scripts and documentation consistently match the stated purpose of local photo enhancement, dehazing, color grading, saturation, lighting, sharpening, and HEIC/JPEG/PNG handling.
Instruction Scope
The skill gives command-line usage examples for local image processing. Auxiliary scripts include hardcoded default input/output paths if run without arguments, so users should provide explicit paths.
Install Mechanism
There is no install spec, but SKILL.md instructs users to install Pillow, NumPy, and pillow-heif via pip, including the '--break-system-packages' flag. This is purpose-aligned but can affect the local Python environment.
Credentials
The skill reads and writes local image files, which is expected for a photo editor. The reviewed code does not show network access, credential use, exfiltration, deletion, or background behavior.
Persistence & Privilege
No persistence mechanism, credential access, background worker, privilege escalation, or long-running autonomous behavior is shown in the artifacts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install photo-cinematic - After installation, invoke the skill by name or use
/photo-cinematic - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: cinematic color grading, dehaze, saturation/vibrance/levels adjustment, light texture effects, HEIC support
Metadata
Frequently Asked Questions
What is Photo Cinematic Editor?
Professional photo processing and cinematic color grading powered by Pillow + NumPy. Use when a user asks to: (1) Edit, enhance, or retouch photos, (2) Apply... It is an AI Agent Skill for Claude Code / OpenClaw, with 11 downloads so far.
How do I install Photo Cinematic Editor?
Run "/install photo-cinematic" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Photo Cinematic Editor free?
Yes, Photo Cinematic Editor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Photo Cinematic Editor support?
Photo Cinematic Editor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Photo Cinematic Editor?
It is built and maintained by Akira362680164 (@akira362680164); the current version is v1.0.0.
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