Project histories, changelogs, developer interviews, open source

Show full session token usage, costs, TLDR savings, and hook activity

Scan lyrics for pronunciation risks, prevent Suno mispronunciations

Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.

Generate comprehensive PR descriptions following repository templates

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

Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".

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

Implement technical plans from thoughts/shared/plans with verification

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

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

Build deep architectural understanding through ultra-granular code analysis. Use when doing security audits, code reviews, or getting oriented in an unfamiliar codebase.

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.

Reviews pull requests and code changes for quality, security, and best practices. Use when user asks for code review, PR review, or mentions reviewing changes.

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.