Install
openclaw skills install photo-graderApply professional-grade color grading to camera RAW/JPG/HEIC photos. Uses RawTherapee CLI as the sole processing engine. Driven by LLM-generated Lightroom-style parameters. Use when the user wants to: - Apply color grading / post-processing to camera RAW/JPG/HEIC files - Batch apply Lightroom-style adjustments (exposure, contrast, HSL, tone curve, etc.) - Process a set of photo files with AI-recommended color parameters - Export color-graded JPGs from RAW/JPG/HEIC files - Apply uniform grading to all files in a directory (timelapse / batch mode) - Generate RawTherapee PP3 sidecar files for manual inspection Triggers: User mentions color grading RAW files, applying Lightroom parameters, post-processing camera RAW photos, grading photos based on AI recommendations, or uniform grading for timelapse sequences. Dependencies: RawTherapee CLI: rawtherapee-cli in PATH (macOS; Homebrew works after user authorization, otherwise use official standalone CLI) / apt install rawtherapee-cli (Debian) Check: bash scripts/setup_deps.sh Workflow: 1. Use `photo-toolkit` to generate thumbnails 2. Use multimodal LLM with photo curator prompt to generate grading parameters 3. Save LLM's JSON output as `grading_params.json` 4. Run `grade.py` to batch-apply grading via RawTherapee ⚠️ IMPORTANT: Use photo_curator_prompt.md V3 (NOT v1/v2). V3 uses Lightroom-standard params with auto-mapping.
openclaw skills install photo-graderApply professional-grade color grading to camera photos via RawTherapee CLI, driven by JSON parameters.
RawTherapee CLI is the sole processing engine, providing:
| Feature | RawTherapee |
|---|---|
| Demosaicing | Multi-algorithm (AMAZE, IGT, etc.) |
| Sharpening | RL Deconvolution (Richardson-Lucy) |
| Noise Reduction | IWT / astronomy denoise |
| Lens Correction | lensfun auto |
| Color Management | ProPhoto internal pipeline |
| Camera Matching | Auto-Matched Curve (~50 cameras) |
| Output Quality | Professional |
All RAW formats: NEF, CR2, CR3, ARW, RAF, ORF, RW2, DNG, PEF, SRW, 3FR, IIQ, X3F, etc. Plus: JPEG (.jpg/.jpeg) and Apple HEIC/HEIF (.heic/.heif).
Note: RAW files provide full 16-bit editing latitude for maximum quality. JPG/HEIC are 8-bit — grading range is more limited, exposure adjustments should be more conservative.
Declaration file: requirements.txt
Prefer venv: Before running scripts, activate the project-root virtual environment (e.g. .venv/). If it doesn't exist, create one first:
# Create venv and install dependencies (recommended)
python3 -m venv .venv
source .venv/bin/activate
pip install -r photo-grader/requirements.txt
# Or use the skill's setup script (checks + installs)
bash photo-grader/scripts/setup_deps.sh
# Before each session, activate venv
source .venv/bin/activate
# macOS
# Install RawTherapee from the official package, then copy the standalone
# rawtherapee-cli into a directory in PATH (for example ~/.local/bin).
rawtherapee-cli -h # verify it prints "RawTherapee, version ..., command line"
# Debian / Ubuntu
sudo apt install rawtherapee-cli
# Fedora / RHEL
sudo dnf install RawTherapee
macOS note: always verify with
rawtherapee-cli -h. If it exits with133/SIGTRAP, macOS likely blocked it before startup. This is common when an agent installs RawTherapee via Homebrew and the user has not explicitly opened/authorized the app or CLI yet. A user-installed and authorized Homebrew CLI can work; otherwise use the official standalonerawtherapee-clifrom the RawTherapee package.
Copy config.example.toml to config.toml and edit to set your directories. See config.example.toml for all available options.
# With absolute paths in grading_params.json (--raw-dir not needed)
python3 scripts/grade.py grading_params.json --output ~/Photos/graded
# With relative filenames in params (needs --raw-dir)
python3 scripts/grade.py grading_params.json \
--raw-dir ~/Photos/RAW --output ~/Photos/graded
# Full resolution
python3 scripts/grade.py grading_params.json --no-resize
# Uniform mode: apply one parameter set to ALL files in a directory
# (useful for timelapse or batch-processing with identical settings)
python3 scripts/grade.py grading_params.json \
--uniform-dir ~/data/timelapse --output ~/data/output/graded
# Preview
python3 scripts/grade.py grading_params.json --dry-run
# Export PP3 only (for manual inspection or external use)
python3 scripts/grade.py grading_params.json --pp3-only --pp3-output ./pp3_files/
# Fast export mode (skip heavy modules for speed)
python3 scripts/grade.py grading_params.json --fast-export
# Control lens correction and camera matching
python3 scripts/grade.py grading_params.json --lens-corr
python3 scripts/grade.py grading_params.json --no-lens-corr
python3 scripts/grade.py grading_params.json --auto-match
python3 scripts/grade.py grading_params.json --no-auto-match
| Option | Description | Default |
|---|---|---|
params_json | Grading parameters JSON | required |
--raw-dir | RAW files directory (only needed for relative paths) | from config |
--uniform-dir | Apply first param set to ALL files in directory | — |
--output | Output directory | from config |
--quality | JPEG quality (1-100) | 95 |
--workers | Parallel workers | auto (max 8) |
--overwrite | Overwrite existing files | off |
--dry-run | Preview only | off |
--pp3-only | Only generate PP3 files, don't render | off |
--pp3-output | Directory for PP3-only output | ./pp3/ |
--fast-export | Use RT fast export mode (skip heavy modules) | off |
--lens-corr | Enable/disable lens correction | from config |
--auto-match | Enable/disable Auto-Matched Camera Curve | from config |
Note:
--uniform-dirignores thefilefield in the JSON and applies the first parameter set to every supported photo in the directory. Useful for timelapse sequences where all frames share one grading preset.
All standard Lightroom parameters are supported with intelligent mapping:
The find_raw_file() function intelligently matches filenames across camera brands and formats:
grading_params.json has "file": "/path/to/DSC_0001.NEF" and the file exists, it's used directly"file": "DSC_0001.NEF", searches under --raw-dir by stem name--raw-dir, the output filename gets a prefix: 001_DSC_0001_暖春丝滑.jpgStem-based matching works across formats:
grading_params.json says DSC_0001.NEF but the actual file is DSC_0001.CR2, it will still be foundIMG_0001.HEIC or DSC_0001.JPGbash scripts/setup_deps.shphoto-toolkit firstphoto_curator_prompt.md prompt with multimodal LLMpython3 scripts/grade.py grading_params.json --raw-dir ... --output ...