Explore our collection of Agent Skills to enhance your AI workflow.
Automates the configuration and verification of linters, formatters, pre-commit hooks, and testing frameworks across multiple tech stacks.
Scans codebases for hardcoded secrets and credentials while providing automated severity classification and remediation guidance.
Automates the setup of production-grade structured logging for ASP.NET Core and FastAPI applications using Serilog and structlog.
Automates the configuration of global exception handling middleware for .NET and Python backend applications.
Automates the setup and configuration of Swagger/OpenAPI documentation for .NET and Python API projects.
Reduces technical debt by identifying and removing duplication, dead code, and over-engineered patterns in AI-generated software.
Enforces a strict Test-Driven Development (TDD) workflow for feature implementation and bug fixes within Claude Code.
Transforms initial ideas into structured technical designs through disciplined, collaborative requirements gathering and architectural exploration.
Enforces architectural patterns and coding standards for the QCC Plus Claude Code CLI proxy server.
Standardizes Git branch management, commit conventions, and deployment workflows for the qcc_plus project.
Generates structured, test-driven implementation plans that break complex features into executable, bite-sized tasks for AI agents.
Applies Test-Driven Development principles to create high-performance, searchable, and verified skills for Claude Code.
Orchestrates multiple independent AI agents to resolve concurrent tasks and test failures simultaneously without shared state conflicts.
Enforces rigorous verification and evidence-based reporting before allowing tasks to be marked as complete, fixed, or ready for commit.
Captures and institutionalizes project insights to improve code quality and workflow efficiency across development phases.
Validates Infrastructure-as-Code files to prevent security breaches, outages, and configuration drift across Terraform, Ansible, and Docker.
Performs comprehensive security reviews of code, dependencies, and infrastructure to identify vulnerabilities and prevent data leaks.
Enforces a disciplined four-phase debugging framework to identify root causes and eliminate inefficient guess-and-check fixing cycles.
Generates and maintains comprehensive project documentation, including API references, architecture guides, and user manuals with systematic quality standards.
Automates the full development lifecycle from branch creation and worktree isolation to atomic commits and pull requests.
Implements structured technical plans through specialized builder agents and multi-stage review gates.
Automates the creation, execution, and debugging of PHP unit tests using the Nette Tester framework.
Manages the end-to-end software development lifecycle within Claude Code using structured phases, parallel agents, and automated quality gates.
Generates optimized GitHub Actions CI pipelines for .NET, Python, and Node.js projects.
Automates test execution and coverage reporting across multiple programming languages and frameworks.
Automatically generates realistic C# mock data classes from Drizzle, Prisma, and TypeORM schemas.
Upgrades Node.js dependencies across npm, yarn, and pnpm while automatically handling breaking changes and migrations.
Configures professional-grade linting and formatting stacks for TypeScript, Python, and .NET projects.
Orchestrates a comprehensive test planning pipeline by coordinating research, manual testing, and automated test generation.
Runs existing test suites automatically to detect code regressions and ensure project stability after implementation changes.
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