Browse skills

Suggests targeted debugging strategies based on error messages and code context to accelerate issue resolution.

The Qa Expert skill analyzes text for questions and answers, streamlining knowledge extraction and verification processes for improved accuracy.

Automatically generates and executes unit tests using popular frameworks like pytest and JUnit based on code context.

Provides creation guidance and assistance for software development workflows.

Automatically generates well-formatted bug reports with context from conversations and system data.

The Qa Assistant helps you quickly generate questions and answers from text, streamlining content creation and knowledge extraction.

Suggests targeted debugging strategies based on error messages and code context to accelerate issue resolution.

Provides testing guidance and assistance for software development workflows.

Fx generates creative text formats like poems, code, scripts, musical pieces, email, letters, etc., offering versatile content creation assistance.

Suggests targeted debugging techniques based on error messages and code context to accelerate issue resolution.

This skill generates diverse logging strategies to improve debugging and monitoring by tailoring logs to specific needs and contexts.

Provides testing guidance and assistance for software development workflows.

Automatically creates new issues in Forge based on provided descriptions and project context.

Automatically generates detailed issue reports in your project management system based on provided context and data.

Automatically generates unit tests based on code context and specified criteria, improving test coverage and developer efficiency.

Automatically identifies, fixes, and debugs code errors based on provided error messages and context.

Analyzes text for adherence to established writing style guides and best practices, suggesting improvements.

Systematically identifies and reports software bugs using automated analysis and detailed error context.

Quickly creates realistic mock data sets (text, numbers, dates) based on user prompts for testing and prototyping.

Suggests targeted debugging strategies based on error logs and code context to accelerate test failure resolution.

Identifies and suggests fixes for code errors based on provided error messages and context from congdon1207.

Provides debugging guidance and assistance for software development workflows.

Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic - works with monoliths, microservices, modular monoliths, and any bounded-context topology.