Designers and asset handlers on Mac need a repeatable way to run OpenClaw for install, config, and batch asset checks. This guide gives you just that: environment requirements, permission setup, step-by-step batch naming and size validation, common errors and fixes, and how to plug the pipeline into design delivery. Follow the sections below to get a stable, reproducible workflow on your Mac (local or remote).
Table of Contents
Installation & Environment Requirements
OpenClaw on Mac runs best with a clean, consistent stack. You need macOS 13 or later (Ventura/Sonoma/Sequoia), Python 3.10+, and Node.js 18+. Install Xcode Command Line Tools so compilers and git are available. Use a virtual environment (venv or conda) to avoid conflicts with system Python. Clone the repo, install pip and npm dependencies from the project root, and confirm the CLI runs with openclaw --version (or the project’s equivalent). On a remote Mac (e.g. Mac mini M4), the same steps apply; a single OS and env reduces “works on my machine” issues.
| Requirement | Minimum | Note |
|---|---|---|
| macOS | 13+ (Ventura or newer) | Apple Silicon or Intel |
| Python | 3.10+ | Use venv/conda |
| Node.js | 18+ LTS | For any JS/Electron parts |
| RAM | 8 GB | 16 GB recommended for large batches |
| Disk | 2 GB free | More for asset caches and models |
Configuration & Permissions
After install, grant the app access to the folders and resources it needs. On macOS, allow Full Disk Access or at least access to the asset directories in System Settings → Privacy & Security. If OpenClaw uses the network (APIs, uploads), ensure firewall or corporate proxies do not block it. Set any required API keys or config paths in environment variables or a local config file (never commit secrets). Run one small batch (e.g. five files) end-to-end to confirm read → process → write works before scaling up.
Batch Naming & Size Validation Steps
Use a fixed sequence so every run is reproducible and handoff-ready.
- Define naming rules: Decide prefix/suffix, case (lowercase/snake_case), and index width (e.g. 4 digits). Document the rule in a one-line spec (e.g.
asset_{category}_{index:04d}.png). - Run batch rename: Use OpenClaw’s naming tool or a small script over the asset folder. Dry-run first; then apply. Keep a backup or version control for the originals.
- Set size/dimension rules: Define max width, max height, and optionally min dimensions and aspect ratio. Put these in a small table (e.g. max 4096×4096, min 24×24) so validators and humans share one spec.
- Run size validation: Run the validator over the renamed files. Output a report (pass/fail per file or a summary count). Fix or exclude failures and re-run until the batch passes.
- Export for delivery: Copy or move the validated assets to the handoff folder (or tag in Git). Optionally generate a manifest (names + dimensions) for the next step in the pipeline.
| Check | Typical spec | Action on fail |
|---|---|---|
| Max width/height | e.g. 4096×4096 | Resize or flag for manual review |
| Min dimensions | e.g. 24×24 | Exclude or upscale per policy |
| Naming pattern | Regex or template | Re-run rename with corrected rule |
| Format | PNG with alpha | Re-export from source |
Common Error Handling
Frequent issues and how to fix them:
- Module not found / ImportError: Activate the correct venv; run
pip install -r requirements.txtagain. If you use both Python and Node, install both dependency sets. - Permission denied (file or folder): Add the app or terminal to Full Disk Access (or the specific folder) in System Settings. Avoid running from a path under iCloud or OneDrive if sync causes locks.
- Dimension mismatch or “file too large”: Align the validator with your spec table. If the design tool exports at 2x or 4x, either allow that in the spec or resize before validation.
- Batch run hangs or OOM: Reduce batch size (e.g. process in chunks of 100). On a remote Mac, increase RAM or run during off-peak so the job is not killed.
- Names not applied or overwritten: Ensure the rename step runs after export and that the output directory is writable. Use a dry-run and compare before/after filenames.
Integration with Design Delivery Workflow
Treat the validated batch as the input to handoff. Keep one export folder (or Git tag) as the “blessed” set. Add a short manifest (CSV or JSON) with filename, width, height, and optional checksum so downstream tools or QA can verify. If your pipeline uploads to S3, a CDN or a design system repo, run that step only after validation passes. That way, design delivery stays consistent and traceable from export → rename → validate → deliver.
Next Steps
For more OpenClaw and Mac design workflows, see Tech Insights, the OpenClaw install guide, and PNG auto-naming and batch validation on remote Mac. To run this workflow on a dedicated Mac without tying up your laptop, check rental options and pricing; for access, use the SSH/VNC setup guide.