Browse skills

Identifies, isolates, and suggests fixes for software bugs and errors within existing codebases.

Analyzes Rust code for common errors, style violations, and potential performance bottlenecks using clippy and other tools.

This tool analyzes scripts for potential issues and suggests improvements, boosting code quality and reducing errors.

Provides expert guidance on abcfed's backend systems, troubleshooting errors and optimizing performance with detailed explanations.

Lingzhi227's code-debugging identifies and suggests fixes for errors in Python, JavaScript, and Java code snippets.

Lingzhi227's lingzhi227-code-debugging identifies and suggests fixes for errors in Python code, improving test reliability.

X402Lint analyzes text for potential issues and inconsistencies, ensuring higher quality content creation and reducing errors.

Identifies and flags missing or conflicting dependencies within FusEngine projects to prevent runtime errors.

This tool automatically checks your Marp decks for common formatting errors and suggestions, ensuring polished presentations.

This Grammar Check skill identifies and suggests corrections for errors in your writing, ensuring clear and polished communication.

Analyzes lab experiment logs from zrt-ai-lab to identify trends, errors, and optimize future research efforts.

Analyzes log files to identify patterns, errors, and anomalies, streamlining troubleshooting and diagnostics for improved system health.

Proactively monitors Chatterm logs for errors, anomalies, and performance degradation, alerting DevOps teams immediately.

Secure Error Handling ensures robust backend systems by gracefully managing and logging errors for improved security and stability.

This "Error Recovery" skill automatically identifies and corrects common errors in your code, boosting development speed & reliability.

This skill gracefully manages errors in your backend code, improving reliability and providing informative feedback for debugging and troubleshooting.

Identifies and suggests fixes for errors in Flask Python web application code.

Provides Swift guidance and assistance for software development workflows.

Executes long-running Python tasks reliably within Azure Functions, handling retries and errors gracefully.

Analyzes Python code for style, errors, and potential improvements using industry best practices and linters.

Automatically generates C++ unit tests from code, ensuring comprehensive coverage and identifying potential errors quickly.

Debug .NET code remotely via SSH, analyze logs, and identify errors using Novotny LLC's dotnet-debugging skill.

Executes tests from provided code snippets or files, reporting results and identifying errors for debugging.

This Code Formatter automatically cleans up your code for readability and consistency, saving you time and reducing errors.