Browse skills

Identifies and suggests fixes for code errors in Python, JavaScript, and Java using wollfoo's advanced analysis.

This skill identifies and suggests fixes for common CustomerIO configuration errors, saving time & improving data accuracy.

Automatically generates comprehensive debugging bundles including logs, metrics, and traces for rapid root cause analysis.

Automated debugging assistance using firefly logs, pinpointing errors and suggesting fixes within your codebase.

Identifies and explains backend errors in code, providing actionable debugging suggestions based on log analysis.

This skill identifies and flags potential errors in your text, improving accuracy and reducing unintended issues.

Quickly identify and suggest fixes for errors in software bundles using advanced AI analysis.

Automates debugging of clerk bundles by identifying errors, suggesting fixes, and verifying functionality through automated tests.

Automatically identifies and suggests fixes for common coding errors in Python, JavaScript, and Java codebases.

Analyzes test execution logs and document bundles to pinpoint root causes of failures and suggest remediation steps.

Automatically generates and executes pytest unit tests for Python code based on provided specifications.

Rapidly identifies and fixes full-stack application errors using advanced AI analysis and automated debugging techniques.

Helps with debugging, UI components as part of software development workflows workflows.

Helps with Swift, testing as part of building frontend UIs and user experiences workflows.

This skill quickly diagnoses common startup IT issues, saving you time and frustration by offering targeted solutions for a smoother tech experience.

Automatically identifies and suggests fixes for code errors based on error messages and stack traces.

Automates lighthouse audits, identifying accessibility, SEO, and performance issues across websites for comprehensive testing.

Automates browser interactions using Playwright for robust web application testing and data extraction.

Ossfuzz generates adversarial examples to test software robustness and uncover hidden vulnerabilities by subtly perturbing inputs.

Analyzes code execution traces to visualize dependencies and identify potential issues, boosting debugging efficiency.

Automates web browser interactions using Selenium to execute test cases and gather data for comprehensive website testing.

Automatically converts existing codebases to test-driven development practices with suggested tests and refactoring steps.

This skill decodes Base64-encoded strings and identifies potential issues, streamlining data extraction and debugging workflows.

This AI expertly analyzes ARM Cortex processor data for performance insights and optimization, boosting efficiency & debugging.