A precision debugging skill that captures runtime execution traces to provide deep visibility into application failures for rapid root cause analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install runtime-debug-skill
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 runtime-debug-skill 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 Syncause Debugger?
The Syncause Debugger is a technical diagnostic tool designed for developers who need to move beyond static analysis. As a core component of the Openclaw Skills library, it uses language-specific SDKs to instrument applications and capture high-fidelity execution data. This skill enables developers to see exactly what happened during a crash or logic failure by recording call trees, variable states, and error stacks in real-time.
By leveraging the power of Openclaw Skills, the Syncause Debugger eliminates guesswork. It provides a structured four-phase workflow—Setup, Analyze, Summary, and Teardown—ensuring that every bug fix is supported by empirical runtime evidence. Whether dealing with silent failures or complex performance bottlenecks, this tool provides the visibility needed to resolve issues with surgical precision.
Syncause Debugger Use Cases
- Debugging intermittent crashes by capturing the full error stack during reproduction.
- Analyzing behavioral bugs where internal logic produces incorrect outputs despite valid inputs.
- Resolving performance regressions like N+1 queries by inspecting database call sequences in the trace.
- Comparing successful 'happy path' executions against failed runs to isolate regression points.
- Investigating complex microservices interactions where local logs are insufficient.
How Syncause Debugger Works
- Initialize the project using the MCP server to generate a unique project ID and retrieve necessary API credentials.
- Integrate the Syncause SDK into the target application's dependency manager (e.g., package.json, requirements.txt, or pom.xml).
- Trigger the bug using a sidecar reproduction script to generate high-quality, verifiable trace data.
- Search the captured Openclaw Skills data repository for the specific trace ID associated with the failure symptom.
- Analyze the call tree to identify error nodes and inspect method snapshots for local variable states and return values.
- Implement the fix based on the instrumentation data and verify the resolution before performing a clean teardown.
Syncause Debugger Setup
To get started with this component of Openclaw Skills, ensure the debug-mcp-server is installed and configured. Follow these steps for integration:
# Initialize your project to get projectID and appName
# For Python applications:
pip install syncause-python-sdk
# For Node.js applications:
npm install @syncause/sdk
# For Java applications:
# Add syncause-sdk dependency to your pom.xml or build.gradle
Verify the installation by checking your dependency files and ensure the API_KEY is correctly configured in your environment.
Syncause Debugger Data Schema & Taxonomy
The skill organizes its diagnostic data into a structured hierarchy to facilitate rapid searching within the Openclaw Skills environment:
| Data Component | Description |
|---|---|
| projectId | Unique identifier for the application being debugged. |
| traceId | A specific execution instance containing the full lifecycle of a request or task. |
| Call Tree | A visual representation of the execution flow, highlighting [ERROR] nodes. |
| Method Snapshot | Captured arguments, local variables, and return values for a specific function call. |
| .syncause | Local directory used for temporary configuration (should be cleared after teardown). |
Syncause Debugger Advanced Features
- Sidecar Reproduction: Create isolated test scripts that trigger bugs without polluting the main codebase.
- Execution Diffing: Use the diff_trace_execution tool to compare variable states between successful and failed runs.
- High-Fidelity Snapshots: Capture the exact state of internal variables that are invisible to standard logging.
- Quality Gates: Automated checks to ensure reproduction scripts consistently trigger the bug before analysis begins.
- Multi-Language Support: Unified debugging interface for heterogeneous stacks including Python, Java, and Node.js via Openclaw Skills.
SKILL.md
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