distributed-systems
SolidDistributed systems patterns for locking, resilience, idempotency, and rate limiting. Use when implementing distributed locks, circuit breakers, retry policies, idempotency keys, token bucket rate limiters, or fault tolerance patterns.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- yonatangross
- Repository
- yonatangross/orchestkit
- Created
- 6 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
principle-distributed-systems
Distributed systems principles — CAP, PACELC, consistency models (linearizable, causal, eventual, read-your-writes), consensus (Paxos, Raft), quorum, leader election, split-brain, replication, partitioning, gossip, logical clocks (Lamport, vector, hybrid), clock skew, delivery semantics (at-most-once, at-least-once, exactly-once effects), idempotency across nodes, two-generals problem, fallacies of distributed computing. Auto-load when reasoning about CAP/PACELC trade-offs, choosing a consistency model, designing consensus or leader election, sizing quorums, ordering events with logical clocks, distinguishing exactly-once delivery from exactly-once effects, designing replication or partitioning strategy, or assessing distributed failure modes.
architecture-patterns
Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right architecture tier for project scope.
redis-patterns
Redis patterns for Python — caching, sessions, pub/sub, rate limiting, distributed locks, and integration with Django/FastAPI.