Analyze brownfield codebase and create initial continuity ledger

Parallel Agent Type Contracts

Automated browser-based document search and retrieval from free public sources

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

Scan lyrics for pronunciation risks, prevent Suno mispronunciations

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

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

Generate promo videos for social media from mastered audio

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".

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

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.

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.