Claude Code

My Claude Code skill is organized around the full extensibility surface of Anthropic's agentic coding tool — not just prompting it well, but treating it as a programmable harness I can shape end-to-end. I work fluently with the core loop (the agentic read-files / edit-files / run-commands cycle, the permission and tool-approval model, memory through CLAUDE.md and auto-memory, session and thread lifecycle) and with the full set of extension points on top of it: custom subagents for separation of concerns across research, implementation, validation, and documentation; hooks (shell, HTTP, LLM-evaluation, and subagent-backed) that enforce invariants at runtime rather than hoping agents remember them; skills that package multi-file protocols agents can invoke the same way every time; slash commands that turn repeatable workflows into first-class verbs; and the declarative settings and permissions that decide what the harness is even allowed to do.

On top of that foundation I treat context engineering, Model Context Protocol integration, and multi-agent composition as the interesting problems. I design system prompts for orchestrators and subagents that tune them to each other as one cooperative protocol — verbatim user-message transmission, explicit routing boundaries, mandatory validation gates, phased execution for large plans. I reach for MCP to ground agents in real systems of record (durable context stores, knowledge bases, issue trackers, semantic code navigation) rather than letting them hallucinate over truncated previews.

The discipline underneath all of it is evaluation-driven delivery: Claude-Code-based systems that aren't measured drift silently, so I treat agent behavior the same way I treat any production AI system — blind quality comparisons on real tasks, latency and cost envelopes, and honest tracking of where the harness is solving the problem versus where it is papering over one. Pro-level command of this surface is what made the concrete multi-agent systems in the Related Projects panel above possible — a curated Claude Code environment, a durable agent-memory layer, and the declarative installer that delivers them — and what keeps them coherent as the tool itself continues to evolve.