Blender Pipeline Automation
Automate Blender 5.2 at scale - headless CLI flags, batch...
Install
npx skills add EL4CTEO/blender-skills --skill blender-pipeline-automation -g -a claude-code -y- Repository
- EL4CTEO/blender-skills651
- Category
- Engineering
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 1,114 tokens
- Runs scripts
- Yes, review before use
What it does
Automate Blender 5.2 at scale - headless CLI flags, batch convert/inventory/run-any-skill-script over folders of .blend/.fbx/.glb/.obj/.usd, sharding, bpy pip module, library linking, path management, render-farm and CI patterns. Use for batch jobs, format conversion, library maintenance and pipeline tooling.
Pipeline Automation
The execution model is in blender-core (run_in_blender.py finds Blender and prints only the JSON results).
Batch one-liners
blender -b -P scripts/batch_process.py -- --in "assets/**/*.fbx" --op convert --to glb --out export/
blender -b -P scripts/batch_process.py -- --in library/ --op report # inventory JSON lines
blender -b -P scripts/batch_process.py -- --in "src/*.blend" --op script \
--script ../blender-asset-qa/scripts/qa_check.py --kwargs '{"profile":"game"}' # QA a whole library
blender -b -P scripts/batch_process.py -- --in src/ --op script --script ../blender-game-optimization/scripts/make_lods.py \
--kwargs '{"rename":true}' --save-to processed/ # LODs for every file
Each file is streamed as one JSON line with ok, timing and results. Failures don't stop the batch, and the summary lists them. Parallel: start N processes with --shard 0/N … --shard N-1/N (Blender uses one core for Python, so processes scale with CPU/GPU count).
