openclaw-troubleshooting_skill

This skill automates diagnosis, fixes errors, and optimizes OpenClaw performance by analyzing environments, dependencies, and configurations.

Python

2.5k

GitHub Stars

7

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill openclaw-troubleshooting

_meta.json485 B
BOOTSTRAP.md4.3 KB
config.json1.1 KB
PUBLISH.md4.7 KB
README.md3.7 KB
requirements.txt87 B
SKILL.md2.8 KB

Overview

This skill provides automated diagnostics, error remediation, and performance tuning specifically for OpenClaw users. It helps locate configuration issues, fix common failures, and produce actionable performance reports so services recover faster and run more efficiently. The skill is designed to be automated, extensible, and easy to run from the command line.

How this skill works

The skill inspects the runtime environment, installed Python version, and dependency tree, then validates OpenClaw configuration files and permissions. It parses error logs and maps known error codes to remediation steps, can install missing packages, repair path and permission issues, and generate performance and resource usage reports. Commands are available to run targeted diagnostics, apply fixes automatically, and produce shareable problem reports.

When to use it

After a fresh OpenClaw installation to verify environment and dependencies
When a skill fails to load or reports error codes like E001–E005
If OpenClaw services have high resource usage or sluggish skill execution
During skill development to validate compatibility and configuration
Before filing support tickets to provide a complete diagnostic report

Best practices

Run a full system diagnosis after upgrades or Python/environment changes
Keep a backup of configuration files before applying automatic fixes
Review generated performance reports and apply suggested optimizations incrementally
Use the skill’s compatibility check on new or updated skills before deployment
Keep the troubleshooting skill updated so it recognizes new error signatures

Example use cases

Diagnose and fix missing dependency errors (E001) after package updates
Repair incorrect file paths or permission problems causing skill load failures
Generate a performance report to identify memory or CPU bottlenecks
Validate a skill’s compatibility with the current OpenClaw version before release
Create a consolidated error report to attach to an external support request

FAQ

Yes. It can detect missing dependencies and attempt to install them using the system package manager or pip, subject to user permissions.

Will automatic fixes change my configuration files?

The tool attempts non-destructive fixes and recommends backing up configs first; when changes are applied it logs them and can produce a restore plan.