1. Software Development

Guides quality-focused software architecture design, code writing, and analysis for development teams.

A development methodology requiring tests to be written before implementation, ensuring tests verify behavior by initially failing.

Enables efficient development by dispatching independent subagents per task with code review, ensuring quality iteration without shared state dependencies.

Provides Git notes commands for attaching non-invasive metadata to commits, such as review status, test results, and code quality annotations, without altering commit history.

Provides instructions for using a struct tag-based console rendering system in Go applications.

Efficiently query GitHub discussions using jq for filtering, streamlining data extraction from GitHub repositories.

Guides developers on adding new message types to the safe-output messages system.

Generates clear, actionable task descriptions to improve GitHub Copilot's code generation accuracy and developer productivity.

Enables command-line interaction with GitHub Copilot for real-time code suggestions and completions during development.

Efficiently query GitHub issues using jq for JSON filtering to streamline development workflow management.

Offers practical tips for leveraging GitHub Copilot Agent in pull request workflows to improve code quality and collaboration.

Plans implementation of temporary ID support for safe output jobs to enable traceability without permanent identifiers.

Provides step-by-step instructions for refactoring JavaScript code into separate files to improve maintainability and structure.

Efficiently query GitHub pull requests using jq for flexible filtering and data extraction.

Provides Vercel Engineering's performance optimization guidelines for React and Next.js to ensure efficient code in components, data fetching, and bundle management.

Provides best practices for integrating Better Auth, a TypeScript-based authentication framework, into applications.

Provides step-by-step guidance for developers to build and integrate new server components using the MCP framework.

Reviews code changes against predefined rules and conventions to ensure quality, consistency, and maintainability.

Automates code reviews with ReadLints and Shell for technical validation, ensuring code quality and adherence to best practices.

Provides a template and guide for developers to create new skills on the Claude platform.

Automates systematic debugging with MCP integration, triggered by QA commits during the hardening phase.

Converts QA Contract criteria into automated test cases, enhancing software quality assurance through test-driven development.

Analyzes software module dependencies using Design Structure Matrix (DSM) to identify and prioritize risks in system architecture.

Automates verification of code against QA contracts and initiates debugging when test failures occur (RED status).