Browse agent candidates

This skill generates comprehensive, hierarchical AGENTS.md documentation across the codebase to guide AI agents through structure and dependencies.

This skill enables persistent AI agents to recall and correlate large memory stores using recursive language models for deep historical insight.

This skill enables deep research by planning, decomposing, and coordinating subagents to produce synthesized, data-driven insights across large contexts.

This skill decomposes and reorganizes memory blocks into focused, single-purpose components to improve clarity and reduce redundancy in memory-based AI

This skill automatically delegates tasks to specialized subagents, optimizing workload and accelerating delivery with clear context and parallel execution

This skill delegates implementation tasks to specialized sub-agents while the main Claude focuses on architecture and coordination.

This skill automates end-to-end scientific research from data analysis to publication, coordinating agents to generate ideas, methodologies, experiments, and

This skill orchestrates automated dependency updates by delegating research, impact analysis, code changes, and validation to specialized agents.

This skill empowers you to implement features by researching KB, following design specs, and maintaining atomic commits with proper documentation.

This skill streamlines development workflows by coordinating commit, build, test, review, debug, and documentation tasks with specialized agents.

Build, create, debug, review, implement, and optimize agentic AI applications using the OpenAI Agents SDK for TypeScript. Use when creating new agents, defining tools, implementing handoffs between agents, adding guardrails, debugging agent behavior, reviewing agent code, or orchestrating multi-agent systems with the @openai/agents package.

This skill lets you manage all devices, look up error codes, and receive troubleshooting and warranty reminders instantly.