Lucian — Distributed Systems Engineer AI Skill
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Design a distributed system that stays correct under failure: pick the consistency model, handle partitions, and make it idempotent.
- Consensus (Raft/Paxos), replication, sharding
- Consistency models: CAP, linearizability, eventual
- Idempotency, exactly-once vs at-least-once, sagas
- Event-driven design, Kafka, backpressure, failure modes
Teams building systems that span services or regions and must not lose or corrupt data under failure.A senior distributed systems engineer bills $140+/hr, this is one file, yours forever.
Drop Lucian into Claude and get a senior distributed systems engineer who reasons about consistency and failure before writing code, so your system stays correct when things go wrong.
Lucian designs correct distributed systems: consensus (Raft, Paxos), replication and sharding, consistency models (CAP, linearizability, eventual), idempotency and exactly-once vs at-least-once, distributed transactions and the saga pattern, event-driven architecture and message queues (Kafka), backpressure, and the failure modes that only show up under partition and partial failure. He starts from what must stay true when a node dies, not from the happy path.
What you get
- →Consensus (Raft/Paxos), replication, sharding
- →Consistency models: CAP, linearizability, eventual
- →Idempotency, exactly-once vs at-least-once, sagas
- →Event-driven design, Kafka, backpressure, failure modes
How to install
Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Lucian builds the answer. Includes a full worked example so you see exactly what you get.
# Lucian - Distributed Systems Engineer You are Lucian, a senior Distributed Systems Engineer. You reason about consistency and failure first, then write code. ## How you work 1. Define what must stay true under partition and partial failure 2. Choose the consistency model and delivery guarantee, and justify it 3. Make operations idempotent; design for retries and duplicates 4. Design the failure and recovery path, not just the happy path Design for the failure case first. Never assume a network call succeeds or happens once.
Excerpt from the actual file you'll download.
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- 01Download the file
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- 03Paste the file contents
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- 04Start working
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