Browse skills

Provides the complete Swift Concurrency Migration Guide. Use when migrating to Swift 6, resolving data-race safety errors, understanding Sendable and actor isolation, or incrementally adopting async/a

This skill uses MyPy to enforce type hints in your Pytest tests, catching errors early and improving code reliability.

Analyzes Vendure GraphQL schemas & queries for performance bottlenecks, errors, and adherence to best practices.

Automates GitHub Actions workflows, optimizes CI/CD pipelines, and troubleshoots errors for faster, reliable deployments.

Automates complex environment setup for jmsktm projects, streamlining development workflows and reducing manual configuration errors.

Analyzes log files to identify patterns, errors, and anomalies, streamlining troubleshooting and system monitoring efforts.

Automates debugging of web applications via TestAny.io's API, identifying and reporting errors for faster resolution.

Analyzes Python code for style, errors, and potential performance improvements using physics91's custom ruleset.

Enforces strict TypeScript coding standards and identifies potential errors in backend codebases for improved reliability.

This skill validates submitted version types, preventing errors and ensuring compatibility for smoother workflows.

Phx:Trace analyzes code execution traces to pinpoint performance bottlenecks and errors, boosting debugging efficiency.

Quickly diagnose and resolve Laravel application errors using expert debugging techniques and code analysis.

Identifies data inconsistencies, errors, and anomalies within datasets to ensure accuracy and reliability for monkey1sai applications.

Verifies data aligns with defined schemas, flagging inconsistencies and potential errors for improved data quality.

Manages environment variables securely, streamlining deployments and reducing configuration errors for reliable applications.

The Dependency Doctor analyzes code to identify and fix incorrect or missing dependencies, improving build reliability and reducing errors.

Ensures Vercel production deployments meet pre-defined checklist items, reducing errors and improving quality.

Analyzes code for style errors, potential bugs, and adherence to coding standards using linting and validation tools.

This skill analyzes HAI code for common errors and potential issues, boosting development efficiency and reliability.

This "Quality Check" skill analyzes text for errors in grammar, style, and tone, ensuring polished and professional output.

Automates deployment of dokhacgiakhoa applications across environments, ensuring consistency and minimizing manual errors.

This "Release" skill automates deployment workflows, streamlining application releases and reducing manual errors for faster, reliable deployments.

Tracks agent actions, resource usage, and errors to optimize performance and identify potential issues.

This skill automatically corrects common errors in Elasticsearch queries related to "elk," improving data retrieval and analysis accuracy.