Explore our collection of Agent Skills to enhance your AI workflow.
Validates Claude Code marketplace integrations by providing a standardized greeting and environment verification.
Accelerates the development of enterprise-grade .NET applications using Domain-Driven Design, SOLID principles, and C# best practices.
Guides developers through the process of creating, configuring, and optimizing autonomous agents for Claude Code plugins.
Streamlines .NET integration testing by configuring Testcontainers, xUnit v3, and Moq with modern implementation patterns.
Provides a standardized framework and boilerplate for developing custom Claude Code skills.
Eliminates hallucinations by forcing real-time verification of software versions, release statuses, and dates before providing technical answers.
Builds security-hardened, minimal container images using Wolfi runtimes, multi-stage builds, and non-root configurations.
Extracts text and tables, generates documents, merges or splits files, and automates form filling for comprehensive PDF management.
Optimizes prompt engineering by matching task complexity to the most efficient prompt level using a structured seven-tier framework.
Delegates complex, asynchronous coding tasks to Google's Jules AI agent to handle bug fixes and refactoring in the background.
Standardizes the creation of CLI entry points and programmatic interfaces for agentic coding workflows.
Designs sophisticated AI Developer Workflows (ADWs) that combine deterministic code with non-deterministic agents for automated development pipelines.
Architects high-impact system prompts to define agent identity, rules, and behavior patterns for custom AI assistants.
Streamlines the lifecycle of Claude Code extensions by providing structured guidance for building plugins, commands, agents, and MCP integrations.
Orchestrates complex development workflows by breaking work into small, parallelizable tasks executed by specialized subagents with clean context.
Squashes multiple git commits into a single, well-documented commit with an automatically generated summary of all changes.
Enforces rigorous, evidence-based validation gates and fresh test execution before any coding task is marked as complete.
Summarizes lengthy documents, extracts key arguments, and generates structured outlines for rapid information consumption.
Locates and retrieves official technical documentation and API references using context7 and targeted web searches.
Automates task lifecycles and maintains project context through streamlined validation, git operations, and backlog management.
Transforms structured data into scannable terminal outputs using standardized patterns like tables, status lines, and validation boxes.
Generate standardized Architecture Decision Records (ADRs) to document technical choices, trade-offs, and historical rationale.
Breaks down complex implementation requirements into granular, DDD-aligned sub-issues for frontend and backend development.
Replaces arbitrary timeouts with condition polling to eliminate flaky tests and timing race conditions.
Enforces rigorous build and test verification protocols before allowing AI agents to claim task completion or success.
Monitors Claude's reasoning processes to detect struggle signals and proactively escalate complex tasks to specialized deep-thinking agents.
Standardizes runtime analysis through targeted log injection and framework-specific diagnostic patterns to resolve software defects faster.
Standardizes the development, testing, and publishing workflow for Claude Code plugins within the ANcpLua monorepo.
Investigates software bugs, performs root cause analysis, and generates systematic fixes through a structured diagnostic workflow.
Builds immersive 3D web games and interactive WebGL experiences using the Three.js library.
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