Maps questions to the optimal tldr command. Use this to pick the right layer

Project histories, changelogs, developer interviews, open source

Scan lyrics for pronunciation risks, prevent Suno mispronunciations

Create or update continuity ledger for state preservation across clears

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

Release preparation workflow - security audit → E2E tests → review → changelog → docs

Comprehensive testing workflow - unit tests ∥ integration tests → E2E tests

Unified math capabilities - computation, solving, and explanation. I route to the right tool.

Formal theorem proving with research, testing, and verification phases

Implement technical plans from thoughts/shared/plans with verification

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.

Reviews code for bugs, security issues, performance problems, and best practices. Use when reviewing PRs, checking code quality, or auditing changes.

Get code review from Codex AI for implementation quality, bug detection, and best practices. Use when asked to review code, check for bugs, find security issues, or get feedback on implementation patterns.

Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability

Implement static code analysis with linters, formatters, and security scanners to catch bugs early. Use when enforcing code standards, detecting security vulnerabilities, or automating code review.

Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.

Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.

Maintain high code quality through formatting, linting, and static analysis using rustfmt, clippy, and cargo audit. Use to ensure consistent code style and catch common mistakes.

Conducts comprehensive frontend code reviews including React/Vue/Angular component analysis, TypeScript/JavaScript quality assessment, CSS/styling review, performance optimization, accessibility...