Browse skills

Poteto-debugging identifies subtle software errors by simulating unpredictable user behavior and data anomalies.

Systematically identifies and resolves software bugs using AI analysis and targeted test case generation for faster debugging.

Identifies and suggests fixes for Reinforcement Learning Model training errors based on logs and metrics.

Automatically identifies and suggests fixes for code errors in iliaal projects, streamlining debugging workflows.

Identifies and suggests fixes for code errors using advanced analysis and debugging techniques.

Systematically identifies and isolates software bugs using automated analysis and targeted test case generation.

Systematically identifies and isolates software bugs using automated tests and analysis within Poletron environments.

Systematically identifies and resolves software bugs using a structured approach, optimizing code quality and stability.

Ricardogomes' guided-debugging helps testers pinpoint errors by suggesting fixes and explaining code behavior step-by-step.

Analyzes Playwright test network requests to identify performance bottlenecks and potential issues in web applications.

Analyzes code test coverage, identifying gaps and suggesting improvements to ensure robust software quality.

Creates sample data files, configurations, and scripts to illustrate functionality or test integrations quickly.

Helps with Playwright, monitoring as part of testing, debugging, and quality assurance workflows.

The Tdz Debugger analyzes your Tdz game code for errors and provides targeted fixes, streamlining development and resolving issues quickly.

The JDB Debugger helps developers quickly diagnose and fix issues in Java code by allowing interactive debugging sessions within their applications.

Troubleshoot Flux CD GitOps cluster deployments by analyzing logs, manifests, and identifying configuration drift.

Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.

Quickly identifies root causes in complex code stacks by analyzing logs and traces, streamlining debugging workflows.

Provides performance optimization guidance and assistance for software development workflows.

Helps with creation, testing, planning as part of software development workflows workflows.

Provides authentication guidance and assistance for software development workflows.

Helps with video, debugging as part of software development workflows workflows.

Automates Umbraco unit tests, ensuring code quality and preventing regressions within your CMS implementation.

Generates iOS unit tests in Swift using provided code snippets and specifications from dengineproblem.