EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知

Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.

Automates software development overnight using Git hooks to enforce test-driven development (TDD). This skill activates when you request "overnight development", "autonomous coding", "work while I sleep", or mention TDD workflows and Git hooks. It leverages Git hooks to block commits until all tests pass, enforcing a rigorous TDD process and ensuring high-quality, production-ready code. Perfect for building features autonomously - just define the goal and let Claude work overnight while tests enforce quality.

Use when building Rust applications requiring memory safety, systems programming, or zero-cost abstractions. Invoke for ownership patterns, lifetimes, traits, async/await with tokio.

Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.

Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies. Synthesizes container and component documentation with system documentation to create comprehensive context-level architecture. Use when creating the highest-level C4 system context documentation.

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

AWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.

Tailwind CSS utility-first styling for JARVIS UI components