Processes pull request review comments systematically by applying test-driven fixes, replying to discussion threads, and verifying CI…
Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement
Processes code review feedback with technical rigor, prioritizing verification and YAGNI principles over blind implementation.
Use when receiving code review requests, reviewing pull requests, evaluating implementation quality, or before merging changes.
Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and…
Structured review processes, conventional comments, language-specific checklists, and feedback templates.
Code review requires technical evaluation, not emotional performance.
Request effective code reviews—specify focus areas, provide context, ask for architectural feedback, reference Laravel conventions
The record model shared across a code-review session: review.md holding generic review items, the item state model, the per-source…
Structured code reviews enforcing DRY, KISS, YAGNI, SRP, best practices, and project conventions.
Extract, validate, and test code samples in documentation.
Configure code signing for macOS and Windows binaries with notarization.
Use after an AI-built feature works but the code has duplicated mechanics, repeated API calls, or messy structure.
Provides file paths to language-specific extension files for the code-testing pipeline.
ALWAYS USE whenever asked to write, add, or generate unit tests for existing code, including one helper, function, class, or missing…
Review representative Code2Skill main flows for closure / Lightweight review of whether the representative Code2Skill main processes are…
Review Code2Skill request semantics against authorized source code, including source binding, cross-Tool handoffs, deterministic…
Execute codeagent-wrapper for multi-backend AI code tasks.
Techniques for analyzing existing codebases to reverse-engineer requirements and understand business logic.
Analyzes codebase using adaptive parallel Explore subagents based on task complexity.
Use PROACTIVELY when auditing code quality, running security scans, assessing technical debt, reviewing code for production readiness…