I built a collection of 100+ specialized subagents for Claude Code that act like on-call experts (Python, React, Postgres, Docker, Stripe, Kafka, Prometheus, etc.). They can be auto-invoked by context or explicitly called (“use the postgres-expert to design indexes”), and each carries a focused system prompt + quality checklist. The runner picks a Claude model per task to balance speed/cost.

- Covers languages, frameworks, DBs/ORMs, DevOps, testing, ML, observability, auth, payments, messaging, and more. - Zero server: they’re just files in ~/.claude/agents/. - MIT-licensed and contributions welcome.

I’d love feedback on missing domains, rough edges in prompts, and real-world cases where this helped (or failed). Thanks!