
Always-on coding fundamentals for safety, naming conventions, import order, and instruction precedence across all tasks.
Language-specific coding conventions for Bash, Python, JavaScript, Rust, and Nushell, including safety patterns and anti-patterns.
Japanese response style rules for user-facing output while preserving code literals and enforcing English-only AI-readable instruction files.
Deep research workflow with scoped question design, source triangulation, CRAAP evaluation, confidence scoring, and report synthesis.
Engineering practice guidelines for Unix design, function boundaries, error handling, testing, code review, refactoring, and debugging workflows.
Adaptive reasoning framework with simple/medium/complex modes, decomposition patterns, confidence scoring, and token-efficient synthesis.
Infrastructure operations guidance for git workflow, Docker hardening, Linux administration, database migrations, and security controls.