skills

Use when the user asks to review, grill, pressure-test, or sanity-check an AI agent or multi-agent system design before building it — triggers include "grill me on my design", "design review", "review my agent architecture", "is this architecture sound", "pressure-test this before I build". Interrogates the design against the four failure modes that kill enterprise agent initiatives and returns a go / no-go verdict with ranked fixes.

Author, audit, and maintain CLAUDE.md memory files the way Anthropic recommends — under 200 lines, only-always-true facts, situational knowledge moved to path-scoped rules or skills. Use when creating/editing any CLAUDE.md, when a CLAUDE.md grows past ~200 lines, when rules stop being obeyed, when splitting a monolith into rules/skills, or before committing memory changes. Trigger phrases: write claude.md, edit claude.md, audit claude.md, claude.md too long, claude.md bloated, refactor claude.md, memory file, prune memory, agent rules, AGENTS.md.

Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices for Anthropic models

Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow

Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines

Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2025 MCP ecosystem including multi-server orchestration, security, and performance.

Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices

Intelligent model selection - routes tasks to Haiku (fast/cheap), Sonnet (balanced), or Opus (complex/strategic) based on task complexity analysis

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.