A platform-agnostic diagnostics and debugging engine designed to systematically identify, resolve, and document computer configuration failures, software errors, and runtime issues.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install troubleshooting-computer-issues
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install troubleshooting-computer-issues using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Troubleshooting Computer Issues?
The Troubleshooting Computer Issues skill is a platform-agnostic, structured diagnostics engine designed to empower AI agents to systematically identify, verify, and resolve configuration errors, installation failures, and runtime bugs. It functions as a powerful utility within the Openclaw Skills workspace, eliminating guesswork by establishing logical, tiered diagnostic processes.
By matching the scope of system issues against standardized difficulty levels (Simple, Medium, Hard, and Extreme), this skill ensures that resources are allocated efficiently. Simple issues are resolved using local reference catalogs, while complex, environment-specific errors trigger shell validations, deep network searches, and parallel subagent routines. This scientific approach keeps environments clean, reproducible, and operational.
Troubleshooting Computer Issues Use Cases
- Software & Package Configuration Failures: Diagnosing syntax errors, dependencies, permission blocks, and failed system-level builds.
- Command-Line & CLI Exception Debugging: Interpreting stack traces, runtime logs, and platform-specific CLI exits to pinpoint configurations.
- Network Connectivity Failures: Testing DNS configurations, proxy issues, and open port blockages interrupting active workflows.
- System Runtime Crashes: Profiling daemon issues, memory leaks, and service lockups on macOS, Linux, or Windows.
- Long-Term System Architecture Verification: Building a persistent troubleshooting registry that acts as an offline knowledge base for recurring environment problems.
How Troubleshooting Computer Issues Works
- Initial Assessment: The agent classifies incoming software or configuration issues into one of four difficulty tiers: Simple, Medium, Hard, or Extreme.
- Dynamic Strategy Selection: The agent assigns the corresponding strategy, moving from instant knowledge checks (Simple) up to deep network diagnostic search, local CLI terminal commands, or parallel processing (Hard/Extreme).
- Active Diagnostic Testing: Rather than guessing a fix, the agent runs safe, non-destructive validation checks to determine environment state and version parameters.
- Adaptive Reclassification: If the agent encounters unexpected environmental layers or complex network structures, it escalates the tier immediately to adjust search strategies.
- Strict Resolution Gating: The agent executes targeted adjustments and checks validation results. A solution is marked as SOLVED only after explicit validation steps confirm resolution.
- Memory Documentation: Writes the issue, strategy, and resulting output to
.troubleshooting-memory/files to optimize future troubleshooting context.
Troubleshooting Computer Issues Setup
To integrate this skill into your custom workspace using the Openclaw Skills environment, clone the package and reference its directories in your agent's config.
# Create the local skill directory structure
mkdir -p ./.openclaw/skills/troubleshooting-computer-issues
# Clone reference guides and source markdown templates
cp -r references/ ./.openclaw/skills/troubleshooting-computer-issues/references/
# Initialize the memory and diagnostic directory
mkdir -p .troubleshooting-memory/
touch SOLUTIONS.md UNRESOLVED.md
Enable the skill in your project's agent-config.yaml profile:
skills:
- name: troubleshooting-computer-issues
path: "./.openclaw/skills/troubleshooting-computer-issues"
enabled: true
Troubleshooting Computer Issues Data Schema & Taxonomy
The skill manages diagnostic sessions dynamically by building and referencing structured records under your environment's memory path.
Output Files & Directory Structure
| File / Path | Format | Description |
|---|---|---|
.troubleshooting-memory/ |
Directory | Stores isolated, timestamped diagnostic logs for execution runs. |
SOLUTIONS.md |
Markdown File | Keeps track of successfully resolved errors, terminal patterns, and their fixes. |
UNRESOLVED.md |
Markdown File | Logs system exceptions that hit maximum timeouts or failed to verify, preserving diagnostic history. |
references/diagnostic-templates.md |
Markdown File | Standardized checklist used by agents during Medium, Hard, and Extreme workflows. |
references/memory-format.md |
Markdown File | Specifies markdown layout structure required for updating troubleshooting knowledge. |
Troubleshooting Computer Issues Advanced Features
- Dynamic Reclassification Engine: Escalates diagnostic levels dynamically if initial command patterns fail or introduce nested failures.
- Parallel Subagent Tasks: Spawns parallel investigative steps during Extreme diagnostics to tackle log analysis, environment scans, and web search simultaneously.
- Local Memory Synchronization: Feeds resolved steps directly into
SOLUTIONS.md, optimizing search indexes and allowing your agent to recall fixes instantly on future runs. - Anti-Guessing Gates: Enforces system rules that restrict agents from modifying configuration parameters without first verifying local CLI logs and paths.
SKILL.md
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