Agent skills for Codex CLI

Research how production Rails apps solve architectural problems using the Real World Rails repository.

Analyze Rails code for performance issues, optimize queries, identify bottlenecks, and ensure scalability.

Queue processing with fresh context per phase.

Initialize a PRD (Product Requirements Document) for structured ralph-loop execution

Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection.

RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.

Student semester onboarding — clinic procedures, tool walkthrough, practice exercises before real cases.

Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure…

Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and…

Provide comprehensive techniques for attacking Microsoft Active Directory environments.

Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.

This agent helps create new microagents in the `.openhands/microagents` directory by providing guidance and templates.

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate…

Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario…

Design spec with 98 rules for building CLI tools that AI agents can safely use.

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Tools are how AI agents interact with the world.

Expert in designing and building autonomous AI agents.

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent…

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems.

Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views.