An AI-powered logging assistant that generates production-ready structured logs with smart level selection and performance tracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cuihua-logger
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 cuihua-logger 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 cuihua-logger?
cuihua-logger is a specialized developer tool designed to eliminate the chaos of unstructured console logs. As a key utility within the Openclaw Skills ecosystem, it leverages AI to automatically inject intelligent, structured logging into your codebase. It ensures that every log entry contains the necessary context, such as user IDs and operation names, while adhering to professional observability standards.
By automating the tedious process of writing boilerplate logging code, this skill helps developers maintain high-quality monitoring and debugging capabilities. It supports popular logging frameworks like Winston, Pino, and Bunyan, ensuring that your application remains production-ready and easy to search through log aggregation platforms.
cuihua-logger Use Cases
- Replacing unstructured console.log statements with searchable JSON objects
- Automatically adding error handling logs with stack traces to critical functions
- Measuring execution time for expensive database queries or API calls via performance logging
- Implementing request tracking across middleware to trace user journeys
- Analyzing existing codebases to identify gaps in logging coverage
How cuihua-logger Works
- The AI scans the target source code to understand the logic flow and identify critical execution paths.
- It determines the most appropriate log levels (debug, info, warn, or error) based on the code's context.
- The skill generates structured log statements that include relevant local variables as metadata.
- Performance timers are optionally injected to monitor latency in real-time.
- The finalized code is presented for review or automatically integrated into the project following Openclaw Skills best practices.
cuihua-logger Setup
Ensure you have Node.js installed in your environment. You can initialize the logging assistant within your project using the following steps:
# Install the necessary peer dependencies (e.g., Winston or Pino)
npm install winston
# Invoke the logger skill via your AI agent
openclaw run cuihua-logger --target ./src
cuihua-logger Data Schema & Taxonomy
The skill organizes logging data into a structured taxonomy to ensure high searchability in monitoring tools:
| Field | Description | Example |
|---|---|---|
level |
The severity of the log entry | info, error, warn |
message |
A clear, concise description of the event | User fetched successfully |
context |
Metadata objects containing specific IDs or states | { "userId": 123 } |
duration |
Performance metric for timed operations (ms) | 45 |
stack |
Error stack traces for error-level logs | Error: ... at Object.<anonymous> |
cuihua-logger Advanced Features
- Support for child loggers to maintain request-scope context across asynchronous calls
- Performance logging with
logger.startTimer()for high-resolution timing - Automatic detection of missing logs in critical business logic paths
- Multi-framework compatibility with Winston, Pino, and Bunyan
- Production optimization to minimize logging overhead in high-traffic environments
SKILL.md
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