TraeClawInstall
SkillCloud & infraRun a repository-driven OpenClaw deployment workflow with platform routing, setup/start/check, acceptance checks, and unified troubleshooting.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the TraeClawInstall skill
What this skill tells your AI
The instructions your AI receives, as published by trae-community/trae-skills in skills/trae-claw-install/SKILL.md and read by ahel’s review.
Description
This skill executes an end-to-end OpenClaw deployment workflow from a repository that already provides platform scripts and operational documents.
Usage Scenario
Use this skill when:
- The user asks for one-stop OpenClaw local deployment.
- The user wants to follow a repository-standard install/start/check flow.
- The user has setup/start failures and needs structured troubleshooting.
Preconditions
- Current working directory is the repository root.
- Terminal execution is available.
- Repository contains platform scripts and troubleshooting docs.
Instructions
- Detect platform and route scripts:
- Windows: prefer WSL2 and use
scripts/windows/wsl/*.sh - macOS: use
scripts/macos/*.sh - Linux: use
scripts/linux/*.sh
- Windows: prefer WSL2 and use
- Validate baseline:
node --versionmajor version is>=22npm --versionis available- if
openclaw --versionis missing, continue with setup step
- Execute standard flow:
setup -> start -> check
- Run minimum acceptance:
openclaw doctoropenclaw statusopenclaw dashboard
- If any step fails, run troubleshooting workflow:
- capture the first error line
- rerun doctor/status
- verify binary paths and versions
- apply fixes from repository troubleshooting docs
- change one variable at a time and re-verify
Output Contract
- Success: platform, executed steps, acceptance results, and service accessibility.
- Failure: first error, diagnostics performed, and next actionable fix.
Constraints
- Reuse repository scripts and docs; do not create a parallel flow.
- Never write real secrets; only use example configuration.
- On Windows, prefer execution inside WSL2 Linux filesystem.
Signals
- GitHub stars
- 20
- Forks
- 24
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
trae-claw-install- Source
- github.com/trae-community/trae-skills